A Correlation of. to the. South Carolina Data Analysis and Probability Standards


 Virgil Gregory
 6 years ago
 Views:
Transcription
1 A Correlation of to the South Carolina Data Analysis and Probability Standards
2 INTRODUCTION This document demonstrates how Stats in Your World 2012 meets the indicators of the South Carolina Academic Standards for Mathematics Precalculus. Correlation page references are to the Student Edition and Instructor s Edition Manual and are cited at the page level. Trusted author Dave Bock and instructional leader Tom Mariano deliver a new textbook for algebrabased introductory statistics courses. This book is designed to help students leave high school equipped with the ability to make sense of statistics. Stats in Your World is a readable and approachable text that students understand and enjoy reading. Features: Leads with practical data analysis and graphics, encouraging students to do statistics and think statistically from the start. Uses real world examples wherever possible to engage students. Includes the most common mistakes in statistical thinking to help students avoid errors. Extensive exercise sets feature applied concepts and check students ability to think statistically, rather than simply produce an answer. A tiered exercise approach features the same concept at 3 levels to differentiate instruction. Articles from Time, Newsweek, and the New York Times show the application of statistics in the real world. Teacher s Resource Guide with Worksheets provides extra examples, tips on how to teach the content, and fully worked problems. MathXL for School, the powerful online homework, tutorial, and assessment program, includes online homework, assessments, and tutorials aligned to the textbook at the chapter, section, and objective level. Also available for purchase StatCrunch Online statistical software for use with any statistics text This document demonstrates the success students will achieve by using Stats in Your World.
3 to the Data Analysis and Probability DA1: The student will use the mathematical processes of representation, connection, communication, reasoning and proof, and problem solving. DA1.1: Execute procedures to conduct simple probability experiments and collect data using manipulatives including spinners, dice, cards, and coins DA1.2: Execute procedures to find measures of probability and statistics using tools such as handheld computing devices, spreadsheets, and statistical software. DA1.3: Execute procedures to conduct a simulation using random number tables and/or technology including handheld computing devices and computers. DA1.4: Design and conduct a statistical research project, produce a report, and summarize the findings. SE/TE: 267, TI Tips in every chapter show students how to use TI83/84 Plus statistics functions. (Help using a TI89 or TINspire appears in Appendix B.) TINspire Activities  Stats in Your World contains many demonstrations and investigations for TINspire handhelds to enhance each chapter. These are located on the book s website TI Tips in every chapter show students how to use TI83/84 Plus statistics functions. (Help using a TI89 or TINspire appears in Appendix B.) TINspire Activities  Stats in Your World contain many demonstrations and investigations for TI Nspire handhelds to enhance each chapter. These are located on the book s website Although research questions are not independently generated by student, the Exercises at the end of each chapter offer straightforward practice of individual concepts or skills and offer three levels of complexity. Almost all exercises are based on realworld studies and data sets 1
4 to the DA1.5: Apply the principles of probability and statistics to solve problems in real world contexts. DA1.6: C Communicate knowledge of data analysis and probability using mathematical terminology appropriately. DA1.7: Judge the reasonableness of solutions based on the source of the data, the design of the study, the way the data displayed, and the way the data is analyzed. DA1.8: Compare data sets using graphs and summary statistics. StepbyStep Worked Examples  When students have mastered the individual steps, the big picture is presented: a complete statistical analysis following the ThinkShowTell rubric. These StepbyStep examples ask students realworld questions. In Your World  Each chapter closes with a recent news story or magazine article that applies the new Statistics knowledge in an interesting context, amplifying the book s central message that Statistics is about the real world. Exercises  Activities are built on real data. Almost all Exercise activities at the end of each chapter are based on realworld studies and data sets. Opportunities are presented throughout the text but especially in Notation Alerts found in each chapter. Emphasized throughout the text are the importance of clear communication, and proper notation as part of the vocabulary of Statistics. Opportunities presented throughout text but especially in Think, Show, Tell, StepbyStep Worked Examples, What Can Go Wrong?, and Exercise activities. All of these are found within each chapter. Throughout the text students use and compare data sets. In addition to including some small data sets, examples and Exercise activities are built on real data. Almost all Exercise activities at the end of each chapter are based on realworld studies and data sets DA2: Through the process standards the student will demonstrate an understanding of the design of a statistical study. DA2.1: Classify a data collection procedure as a SE/TE: 242, 244, 245 survey, an observational study, or a controlled experiment. DA2.2: Compare various random sampling techniques including simple, stratified, cluster, and systematic. DA2.3: Analyze a data collection procedure to classify the sampling technique used as simple cluster, systematic, or convenience. DA2.4: Critique data collection methods and describe how bias can be controlled or reduced SE/TE: 223, 224, 225, 226 SE/TE: 225, 226, 230, 231 SE/TE: 219, 224, 230, 231, 232, 233, 386 2
5 to the DA2.5: Judge which of two or more possible experimental designs will best answer a given research question. DA2.6: Generate a research question and design a statistical study to answer the research question. SE/TE: 244, 245, 246, 247, 248 Although research questions are not independently generated by student, the Exercises at the end of each chapter offer straightforward practice of individual concepts or skills and offer three levels of complexity. Almost all exercises are based on realworld studies and data sets DA3: Through the process standards the student will demonstrate an understanding of how to collect, organize, display, and interpret data. DA3.1: Use manipulatives, random number tables, and technology to collect data and conduct experiments and simulations. DA3.2: Organize and represent data using pictographs, bar graphs, pie charts, dot plots, histograms, timeseries plots, stemandleaf plots, boxand whiskers plots, and scatter plots. DA3.3: Given a data set or problem situation, select appropriate graphical display(s) from among pictographs, bar graphs, pie charts, dot plots, histograms, timeseries plots, stemandleaf plots, boxandwhiskers plots, and scatter plots. DA3.4: Represent frequency distributions using displays such as categorical frequency distributions/pareto charts, histograms, frequency polygons, cumulative frequency distributions/ogives. SE/TE: ; Exercises pgs , 243, 245, 246, 247, 248, 249, 252, 255, 256, 257, 258, 259; Exercises pgs , 271, 272, 273, 274, 275; Exercises pgs In addition, TI Tips in every chapter show students how to use TI83/84 Plus statistics functions. (Help using a TI89 or TINspire appears in Appendix B.) Stats in Your World contain many demonstrations and investigations for TINspire handhelds to enhance each chapter. These are located on the book s website SE/TE: 22, 23, 24, 25, 28, 30, 37, 46, 47, 48, 49, 5051, 52, 63, 68, 69, 84, 85, 86, 88, 89, 92, 94, 138, 139, 140, 141, 142, 143 allow opportunities for students to select appropriate graphical displays. SE/TE: 22, 23, 24, 25, 37, 46, 47, 48, 52, 63, 68 3
6 to the DA3.5: Classify the shape of a scatterplot (including linear, quadratic, or exponential). DA3.6: Classify graphically and analytically the correlation between two variables as positive, negative, or no correlation. DA3.7: Carry out a procedure to determine an equation for a trend line for a scatterplot exhibiting a linear pattern by using visual approximation. DA3.8: Carry out a procedure to determine a line of best fit for a scatterplot exhibiting a linear pattern by using technology. DA3.9: Explain the meaning of the correlation coefficient, r. DA3.10: Use interpolation or extrapolation to predict values based on relationship between two variables. SE/TE: 139, 143 SE/TE: 139, 140, 141, 143, 144, 146, 147, 154 SE/TE: 139, 140, 143 SE/TE: pg. 149 SE/TE: 144, 145, 152, 153 SE/TE: 177, 178, 179 DA4: Through the process standards the student will demonstrate an understanding of basic statistical methods of analyzing data. DA4.1: Classify a variable as a statistic or a SE/TE: 119, 222, 249 parameter. DA4.2: Compare descriptive and inferential statistics. DA4.3: Classify a variable as discrete or continuous and categorical or quantitative. DA4.4: Use procedures and/or technology to find measures of central tendency (mean, median, mode) for given data. SE/TE: 387, 388, 411, 440, 441, 445, 446, 447 SE/TE: 9, 11, 22, 23, 24, 46, 139, 146, 151, 347, 348 SE/TE:52, 55, 58, 61, In addition, TI Tips in every chapter show students how to use TI83/84 Plus statistics functions. (Help using a TI89 or TINspire appears in Appendix B.) Stats in Your World contain many demonstrations and investigations for TINspire handhelds to enhance each chapter. These are located on the book s website 4
7 to the DA4.5: Predict the effect of transformations of data on measures of central tendency, variability, and the shape of the distribution. DA4.6: Use procedures and/or technology to find measures of spread (range, variance, standard deviation, interquartile range) and outliers for give data. DA4.7: Use procedures and/or technology to find measures of position (including median, quartiles, percentiles, standard scores) for given data. DA4.8: Classify a distribution as symmetric, positively skewed, or negatively skewed. DA4.9: Explain the significance of the shape of a distribution. DA4.10: Use knowledge of the Empirical Rule to solve problems involving data that is distributed normally. DA4.11: Use control charts to determine if a process is in control. SE/TE: 52, 53, 59, 60 SE/TE: 56, 57, 58, 63, 65 In addition, TI Tips in every chapter show students how to use TI83/84 Plus statistics functions. (Help using a TI89 or TINspire appears in Appendix B.) Stats in Your World contain many demonstrations and investigations for TINspire handhelds to enhance each chapter. These are located on the book s website SE/TE:55, 56, 57, 58, 123, 124 In addition, TI Tips in every chapter show students how to use TI83/84 Plus statistics functions. (Help using a TI89 or TINspire appears in Appendix B.) Stats in Your World contain many demonstrations and investigations for TINspire handhelds to enhance each chapter. These are located on the book s website SE/TE: 53, 63, 444 SE/TE: 51, 52, 53, 59, 60, 118 SE/TE: 120 Control charts are not explored in this textbook. 5
8 to the DA5: Through the process standards the student will demonstrate an understanding of the basic concepts of probability. DA5.1: Construct a sample space for an experiment and represent it as a list, chart, picture, or tree diagram. DA5.2: Use counting techniques to determine the number of possible outcomes of an event. DA5.3: Classify events as dependent or independent. DA5.4: Categorize two events as mutually exclusive or not mutually exclusive. DA5.5: Use the concept of complementary sets to compute probabilities. DA5.6: Use the binomial probability distribution to solve problems. DA5.7: Carry out a procedure to compute simple probabilities and compound probabilities including conditional probabilities. DA5.8: Use a procedure to find geometric probability in real world contexts. DA5.9: Compare theoretical and experimental probabilities. DA5.10: Construct and compare theoretical and experimental probability distributions. DA5.11: Use procedures to find the expected value of discrete random variables and construct meaning within contexts. SE/TE: 288, 289 SE/TE: SE/TE: 286 SE/TE: 327 SE/TE: 308, 311, 313, 314, SE/TE: 327, 328, 329 SE/TE: 307, 310, 312 SE/TE: 52, 426 SE/TE: SE/TE: 309, 312, 316, 317 SE/TE: 287, 289 SE/TE: 287, 289 SE/TE: 347, 348 DA5.12: Understand the law of large numbers. SE/TE: 286, 297 DA5.13: Carry out a procedure to compute conditional probability using twoway tables. SE/TE: 502, 503, 504, 506 6
Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 20092010
Curriculum Map Statistics and Probability Honors (348) Saugus High School Saugus Public Schools 20092010 Week 1 Week 2 14.0 Students organize and describe distributions of data by using a number of different
More informationIntro to Statistics 8 Curriculum
Intro to Statistics 8 Curriculum Unit 1 Bar, Line and Circle Graphs Estimated time frame for unit Big Ideas 8 Days... Essential Question Concepts Competencies Lesson Plans and Suggested Resources Bar graphs
More informationRUTHERFORD HIGH SCHOOL Rutherford, New Jersey COURSE OUTLINE STATISTICS AND PROBABILITY
RUTHERFORD HIGH SCHOOL Rutherford, New Jersey COURSE OUTLINE STATISTICS AND PROBABILITY I. INTRODUCTION According to the Common Core Standards (2010), Decisions or predictions are often based on data numbers
More informationSouth Carolina College and CareerReady (SCCCR) Probability and Statistics
South Carolina College and CareerReady (SCCCR) Probability and Statistics South Carolina College and CareerReady Mathematical Process Standards The South Carolina College and CareerReady (SCCCR)
More informationUNIT 1: COLLECTING DATA
Core Probability and Statistics Probability and Statistics provides a curriculum focused on understanding key data analysis and probabilistic concepts, calculations, and relevance to realworld applications.
More informationLecture 2: Descriptive Statistics and Exploratory Data Analysis
Lecture 2: Descriptive Statistics and Exploratory Data Analysis Further Thoughts on Experimental Design 16 Individuals (8 each from two populations) with replicates Pop 1 Pop 2 Randomly sample 4 individuals
More informationThe Comparisons. Grade Levels Comparisons. Focal PSSM K8. Points PSSM CCSS 912 PSSM CCSS. Color Coding Legend. Not Identified in the Grade Band
Comparison of NCTM to Dr. Jim Bohan, Ed.D Intelligent Education, LLC Intel.educ@gmail.com The Comparisons Grade Levels Comparisons Focal K8 Points 912 prek through 12 Instructional programs from prekindergarten
More informationThis curriculum is part of the Educational Program of Studies of the Rahway Public Schools. ACKNOWLEDGMENTS
CURRICULUM FOR STATISTICS & PROBABILITY GRADES 11 & 12 This curriculum is part of the Educational Program of Studies of the Rahway Public Schools. ACKNOWLEDGMENTS Christine H. Salcito, Director of Curriculum
More informationBusiness Statistics. Successful completion of Introductory and/or Intermediate Algebra courses is recommended before taking Business Statistics.
Business Course Text Bowerman, Bruce L., Richard T. O'Connell, J. B. Orris, and Dawn C. Porter. Essentials of Business, 2nd edition, McGrawHill/Irwin, 2008, ISBN: 9780073319889. Required Computing
More informationCOMMON CORE STATE STANDARDS FOR
COMMON CORE STATE STANDARDS FOR Mathematics (CCSSM) High School Statistics and Probability Mathematics High School Statistics and Probability Decisions or predictions are often based on data numbers in
More informationCourse Text. Required Computing Software. Course Description. Course Objectives. StraighterLine. Business Statistics
Course Text Business Statistics Lind, Douglas A., Marchal, William A. and Samuel A. Wathen. Basic Statistics for Business and Economics, 7th edition, McGrawHill/Irwin, 2010, ISBN: 9780077384470 [This
More informationDiagrams and Graphs of Statistical Data
Diagrams and Graphs of Statistical Data One of the most effective and interesting alternative way in which a statistical data may be presented is through diagrams and graphs. There are several ways in
More informationAlgebra 1 Course Information
Course Information Course Description: Students will study patterns, relations, and functions, and focus on the use of mathematical models to understand and analyze quantitative relationships. Through
More informationWhat is the purpose of this document? What is in the document? How do I send Feedback?
This document is designed to help North Carolina educators teach the Common Core (Standard Course of Study). NCDPI staff are continually updating and improving these tools to better serve teachers. Statistics
More informationSummarizing and Displaying Categorical Data
Summarizing and Displaying Categorical Data Categorical data can be summarized in a frequency distribution which counts the number of cases, or frequency, that fall into each category, or a relative frequency
More informationFoundation of Quantitative Data Analysis
Foundation of Quantitative Data Analysis Part 1: Data manipulation and descriptive statistics with SPSS/Excel HSRS #10  October 17, 2013 Reference : A. Aczel, Complete Business Statistics. Chapters 1
More information430 Statistics and Financial Mathematics for Business
Prescription: 430 Statistics and Financial Mathematics for Business Elective prescription Level 4 Credit 20 Version 2 Aim Students will be able to summarise, analyse, interpret and present data, make predictions
More informationHow To Write A Data Analysis
Mathematics Probability and Statistics Curriculum Guide Revised 2010 This page is intentionally left blank. Introduction The Mathematics Curriculum Guide serves as a guide for teachers when planning instruction
More informationbusiness statistics using Excel OXFORD UNIVERSITY PRESS Glyn Davis & Branko Pecar
business statistics using Excel Glyn Davis & Branko Pecar OXFORD UNIVERSITY PRESS Detailed contents Introduction to Microsoft Excel 2003 Overview Learning Objectives 1.1 Introduction to Microsoft Excel
More informationAP Statistics: Syllabus 1
AP Statistics: Syllabus 1 Scoring Components SC1 The course provides instruction in exploring data. 4 SC2 The course provides instruction in sampling. 5 SC3 The course provides instruction in experimentation.
More informationFairfield Public Schools
Mathematics Fairfield Public Schools AP Statistics AP Statistics BOE Approved 04/08/2014 1 AP STATISTICS Critical Areas of Focus AP Statistics is a rigorous course that offers advanced students an opportunity
More informationExploratory data analysis (Chapter 2) Fall 2011
Exploratory data analysis (Chapter 2) Fall 2011 Data Examples Example 1: Survey Data 1 Data collected from a Stat 371 class in Fall 2005 2 They answered questions about their: gender, major, year in school,
More informationCurrent Standard: Mathematical Concepts and Applications Shape, Space, and Measurement Primary
Shape, Space, and Measurement Primary A student shall apply concepts of shape, space, and measurement to solve problems involving two and threedimensional shapes by demonstrating an understanding of:
More informationAlgebra 1 2008. Academic Content Standards Grade Eight and Grade Nine Ohio. Grade Eight. Number, Number Sense and Operations Standard
Academic Content Standards Grade Eight and Grade Nine Ohio Algebra 1 2008 Grade Eight STANDARDS Number, Number Sense and Operations Standard Number and Number Systems 1. Use scientific notation to express
More informationLecture 1: Review and Exploratory Data Analysis (EDA)
Lecture 1: Review and Exploratory Data Analysis (EDA) Sandy Eckel seckel@jhsph.edu Department of Biostatistics, The Johns Hopkins University, Baltimore USA 21 April 2008 1 / 40 Course Information I Course
More informationGlencoe. correlated to SOUTH CAROLINA MATH CURRICULUM STANDARDS GRADE 6 33, 58 84, 87 16, 49
Glencoe correlated to SOUTH CAROLINA MATH CURRICULUM STANDARDS GRADE 6 STANDARDS 68 Number and Operations (NO) Standard I. Understand numbers, ways of representing numbers, relationships among numbers,
More informationDescriptive statistics Statistical inference statistical inference, statistical induction and inferential statistics
Descriptive statistics is the discipline of quantitatively describing the main features of a collection of data. Descriptive statistics are distinguished from inferential statistics (or inductive statistics),
More informationDesCartes (Combined) Subject: Mathematics Goal: Data Analysis, Statistics, and Probability
DesCartes (Combined) Subject: Mathematics Goal: Data Analysis, Statistics, and Probability RIT Score Range: Below 171 Below 171 171180 Data Analysis and Statistics Data Analysis and Statistics Solves
More information3. Data Analysis, Statistics, and Probability
3. Data Analysis, Statistics, and Probability Data and probability sense provides students with tools to understand information and uncertainty. Students ask questions and gather and use data to answer
More informationVertical Alignment Colorado Academic Standards 6 th  7 th  8 th
Vertical Alignment Colorado Academic Standards 6 th  7 th  8 th Standard 3: Data Analysis, Statistics, and Probability 6 th Prepared Graduates: 1. Solve problems and make decisions that depend on un
More informationMATH BOOK OF PROBLEMS SERIES. New from Pearson Custom Publishing!
MATH BOOK OF PROBLEMS SERIES New from Pearson Custom Publishing! The Math Book of Problems Series is a database of math problems for the following courses: Prealgebra Algebra Precalculus Calculus Statistics
More informationDesCartes (Combined) Subject: Mathematics Goal: Statistics and Probability
DesCartes (Combined) Subject: Mathematics Goal: Statistics and Probability RIT Score Range: Below 171 Below 171 Data Analysis and Statistics Solves simple problems based on data from tables* Compares
More informationGrade 8 Classroom Assessments Based on State Standards (CABS)
Grade 8 Classroom Assessments Based on State Standards (CABS) A. Mathematical Processes and E. Statistics and Probability (From the WKCECRT Mathematics Assessment Framework, Beginning of Grade 10) A.
More informationStreet Address: 1111 Franklin Street Oakland, CA 94607. Mailing Address: 1111 Franklin Street Oakland, CA 94607
Contacts University of California Curriculum Integration (UCCI) Institute Sarah Fidelibus, UCCI Program Manager Street Address: 1111 Franklin Street Oakland, CA 94607 1. Program Information Mailing Address:
More informationNEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS
NEW YORK STATE TEACHER CERTIFICATION EXAMINATIONS TEST DESIGN AND FRAMEWORK September 2014 Authorized for Distribution by the New York State Education Department This test design and framework document
More informationWhy Taking This Course? Course Introduction, Descriptive Statistics and Data Visualization. Learning Goals. GENOME 560, Spring 2012
Why Taking This Course? Course Introduction, Descriptive Statistics and Data Visualization GENOME 560, Spring 2012 Data are interesting because they help us understand the world Genomics: Massive Amounts
More informationProblem of the Month Through the Grapevine
The Problems of the Month (POM) are used in a variety of ways to promote problem solving and to foster the first standard of mathematical practice from the Common Core State Standards: Make sense of problems
More informationStatistics I for QBIC. Contents and Objectives. Chapters 1 7. Revised: August 2013
Statistics I for QBIC Text Book: Biostatistics, 10 th edition, by Daniel & Cross Contents and Objectives Chapters 1 7 Revised: August 2013 Chapter 1: Nature of Statistics (sections 1.11.6) Objectives
More information096 Professional Readiness Examination (Mathematics)
096 Professional Readiness Examination (Mathematics) Effective after October 1, 2013 MISGFLD096M02 TABLE OF CONTENTS PART 1: General Information About the MTTC Program and Test Preparation OVERVIEW
More informationBNG 202 Biomechanics Lab. Descriptive statistics and probability distributions I
BNG 202 Biomechanics Lab Descriptive statistics and probability distributions I Overview The overall goal of this short course in statistics is to provide an introduction to descriptive and inferential
More informationData Analysis, Statistics, and Probability
Chapter 6 Data Analysis, Statistics, and Probability Content Strand Description Questions in this content strand assessed students skills in collecting, organizing, reading, representing, and interpreting
More informationProbability and Statistics
Integrated Math 1 Probability and Statistics Farmington Public Schools Grade 9 Mathematics Beben, Lepi DRAFT: 06/30/2006 Farmington Public Schools 1 Table of Contents Unit Summary....page 3 Stage One:
More informationDescription. Textbook. Grading. Objective
EC151.02 Statistics for Business and Economics (MWF 8:008:50) Instructor: Chiu Yu Ko Office: 462D, 21 Campenalla Way Phone: 26093 Email: kocb@bc.edu Office Hours: by appointment Description This course
More informationCRLS Mathematics Department Algebra I Curriculum Map/Pacing Guide
Curriculum Map/Pacing Guide page 1 of 14 Quarter I start (CP & HN) 170 96 Unit 1: Number Sense and Operations 24 11 Totals Always Include 2 blocks for Review & Test Operating with Real Numbers: How are
More informationPrentice Hall MyMathLab Algebra 1, 2011
Prentice Hall MyMathLab Algebra 1, 2011 C O R R E L A T E D T O Tennessee Mathematics Standards, 20092010 Implementation, Algebra I Tennessee Mathematics Standards 20092010 Implementation Algebra I 3102
More informationIndiana Academic Standards Mathematics: Probability and Statistics
Indiana Academic Standards Mathematics: Probability and Statistics 1 I. Introduction The college and career ready Indiana Academic Standards for Mathematics: Probability and Statistics are the result of
More informationManhattan Center for Science and Math High School Mathematics Department Curriculum
Content/Discipline Algebra 1 Semester 2: Marking Period 1  Unit 8 Polynomials and Factoring Topic and Essential Question How do perform operations on polynomial functions How to factor different types
More informationProbability and Statistics Vocabulary List (Definitions for Middle School Teachers)
Probability and Statistics Vocabulary List (Definitions for Middle School Teachers) B Bar graph a diagram representing the frequency distribution for nominal or discrete data. It consists of a sequence
More informationAP STATISTICS REVIEW (YMS Chapters 18)
AP STATISTICS REVIEW (YMS Chapters 18) Exploring Data (Chapter 1) Categorical Data nominal scale, names e.g. male/female or eye color or breeds of dogs Quantitative Data rational scale (can +,,, with
More informationExercise 1.12 (Pg. 2223)
Individuals: The objects that are described by a set of data. They may be people, animals, things, etc. (Also referred to as Cases or Records) Variables: The characteristics recorded about each individual.
More informationUsing GAISE and NCTM Standards as Frameworks for Teaching Probability and Statistics to PreService Elementary and Middle School Mathematics Teachers
Using GAISE and NCTM Standards as Frameworks for Teaching Probability and Statistics to PreService Elementary and Middle School Mathematics Teachers Mary Louise Metz Indiana University of Pennsylvania
More informationInstitute of Actuaries of India Subject CT3 Probability and Mathematical Statistics
Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics For 2015 Examinations Aim The aim of the Probability and Mathematical Statistics subject is to provide a grounding in
More informationPrentice Hall Algebra 2 2011 Correlated to: Colorado P12 Academic Standards for High School Mathematics, Adopted 12/2009
Content Area: Mathematics Grade Level Expectations: High School Standard: Number Sense, Properties, and Operations Understand the structure and properties of our number system. At their most basic level
More information1.3 Measuring Center & Spread, The Five Number Summary & Boxplots. Describing Quantitative Data with Numbers
1.3 Measuring Center & Spread, The Five Number Summary & Boxplots Describing Quantitative Data with Numbers 1.3 I can n Calculate and interpret measures of center (mean, median) in context. n Calculate
More informationGeostatistics Exploratory Analysis
Instituto Superior de Estatística e Gestão de Informação Universidade Nova de Lisboa Master of Science in Geospatial Technologies Geostatistics Exploratory Analysis Carlos Alberto Felgueiras cfelgueiras@isegi.unl.pt
More informationX On record with the USOE.
Textbook Alignment to the Utah Core Algebra 2 Name of Company and Individual Conducting Alignment: Chris McHugh, McHugh Inc. A Credential Sheet has been completed on the above company/evaluator and is
More informationQuantitative Methods for Finance
Quantitative Methods for Finance Module 1: The Time Value of Money 1 Learning how to interpret interest rates as required rates of return, discount rates, or opportunity costs. 2 Learning how to explain
More informationDescriptive statistics parameters: Measures of centrality
Descriptive statistics parameters: Measures of centrality Contents Definitions... 3 Classification of descriptive statistics parameters... 4 More about central tendency estimators... 5 Relationship between
More informationStatistics and Probability (Data Analysis)
Statistics and Probability (Data Analysis) Kindergarten Grade 1 Grade 2 Grade 3 Grade 4 Specific Learning Outcomes Specific Learning Outcomes Specific Learning Outcomes 2.SP.1. Gather and record data about
More informationGRADES 7, 8, AND 9 BIG IDEAS
Table 1: Strand A: BIG IDEAS: MATH: NUMBER Introduce perfect squares, square roots, and all applications Introduce rational numbers (positive and negative) Introduce the meaning of negative exponents for
More informationWeek 1. Exploratory Data Analysis
Week 1 Exploratory Data Analysis Practicalities This course ST903 has students from both the MSc in Financial Mathematics and the MSc in Statistics. Two lectures and one seminar/tutorial per week. Exam
More informationSTATS8: Introduction to Biostatistics. Data Exploration. Babak Shahbaba Department of Statistics, UCI
STATS8: Introduction to Biostatistics Data Exploration Babak Shahbaba Department of Statistics, UCI Introduction After clearly defining the scientific problem, selecting a set of representative members
More informationDESCRIPTIVE STATISTICS. The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses.
DESCRIPTIVE STATISTICS The purpose of statistics is to condense raw data to make it easier to answer specific questions; test hypotheses. DESCRIPTIVE VS. INFERENTIAL STATISTICS Descriptive To organize,
More informationCenter: Finding the Median. Median. Spread: Home on the Range. Center: Finding the Median (cont.)
Center: Finding the Median When we think of a typical value, we usually look for the center of the distribution. For a unimodal, symmetric distribution, it s easy to find the center it s just the center
More informationNEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York
NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York DEPARTMENT: Mathematics COURSE: MAT 1272/ MA 272 TITLE: DESCRIPTION: TEXT: Statistics An introduction to statistical methods and statistical
More informationGrade 6 Mathematics Assessment. Eligible Texas Essential Knowledge and Skills
Grade 6 Mathematics Assessment Eligible Texas Essential Knowledge and Skills STAAR Grade 6 Mathematics Assessment Mathematical Process Standards These student expectations will not be listed under a separate
More informationPrentice Hall: Middle School Math, Course 1 2002 Correlated to: New York Mathematics Learning Standards (Intermediate)
New York Mathematics Learning Standards (Intermediate) Mathematical Reasoning Key Idea: Students use MATHEMATICAL REASONING to analyze mathematical situations, make conjectures, gather evidence, and construct
More informationThe right edge of the box is the third quartile, Q 3, which is the median of the data values above the median. Maximum Median
CONDENSED LESSON 2.1 Box Plots In this lesson you will create and interpret box plots for sets of data use the interquartile range (IQR) to identify potential outliers and graph them on a modified box
More informationKEANSBURG SCHOOL DISTRICT KEANSBURG HIGH SCHOOL Mathematics Department. HSPA 10 Curriculum. September 2007
KEANSBURG HIGH SCHOOL Mathematics Department HSPA 10 Curriculum September 2007 Written by: Karen Egan Mathematics Supervisor: Ann Gagliardi 7 days Sample and Display Data (Chapter 1 pp. 447) Surveys and
More informationShape of Data Distributions
Lesson 13 Main Idea Describe a data distribution by its center, spread, and overall shape. Relate the choice of center and spread to the shape of the distribution. New Vocabulary distribution symmetric
More informationCommon Core Unit Summary Grades 6 to 8
Common Core Unit Summary Grades 6 to 8 Grade 8: Unit 1: Congruence and Similarity 8G18G5 rotations reflections and translations,( RRT=congruence) understand congruence of 2 d figures after RRT Dilations
More informationMTH 140 Statistics Videos
MTH 140 Statistics Videos Chapter 1 Picturing Distributions with Graphs Individuals and Variables Categorical Variables: Pie Charts and Bar Graphs Categorical Variables: Pie Charts and Bar Graphs Quantitative
More informationSTAT355  Probability & Statistics
STAT355  Probability & Statistics Instructor: Kofi Placid Adragni Fall 2011 Chap 1  Overview and Descriptive Statistics 1.1 Populations, Samples, and Processes 1.2 Pictorial and Tabular Methods in Descriptive
More information03 The full syllabus. 03 The full syllabus continued. For more information visit www.cimaglobal.com PAPER C03 FUNDAMENTALS OF BUSINESS MATHEMATICS
0 The full syllabus 0 The full syllabus continued PAPER C0 FUNDAMENTALS OF BUSINESS MATHEMATICS Syllabus overview This paper primarily deals with the tools and techniques to understand the mathematics
More informationList of Examples. Examples 319
Examples 319 List of Examples DiMaggio and Mantle. 6 Weed seeds. 6, 23, 37, 38 Vole reproduction. 7, 24, 37 Wooly bear caterpillar cocoons. 7 Homophone confusion and Alzheimer s disease. 8 Gear tooth strength.
More informationPCHS ALGEBRA PLACEMENT TEST
MATHEMATICS Students must pass all math courses with a C or better to advance to the next math level. Only classes passed with a C or better will count towards meeting college entrance requirements. If
More informationNEW MEXICO Grade 6 MATHEMATICS STANDARDS
PROCESS STANDARDS To help New Mexico students achieve the Content Standards enumerated below, teachers are encouraged to base instruction on the following Process Standards: Problem Solving Build new mathematical
More informationMathematical goals. Starting points. Materials required. Time needed
Level S6 of challenge: B/C S6 Interpreting frequency graphs, cumulative cumulative frequency frequency graphs, graphs, box and box whisker and plots whisker plots Mathematical goals Starting points Materials
More informationEconomic Statistics (ECON2006), Statistics and Research Design in Psychology (PSYC2010), Survey Design and Analysis (SOCI2007)
COURSE DESCRIPTION Title Code Level Semester Credits 3 Prerequisites Post requisites Introduction to Statistics ECON1005 (EC160) I I None Economic Statistics (ECON2006), Statistics and Research Design
More informationMathematics within the Psychology Curriculum
Mathematics within the Psychology Curriculum Statistical Theory and Data Handling Statistical theory and data handling as studied on the GCSE Mathematics syllabus You may have learnt about statistics and
More informationInternational College of Economics and Finance Syllabus Probability Theory and Introductory Statistics
International College of Economics and Finance Syllabus Probability Theory and Introductory Statistics Lecturer: Mikhail Zhitlukhin. 1. Course description Probability Theory and Introductory Statistics
More informationHISTOGRAMS, CUMULATIVE FREQUENCY AND BOX PLOTS
Mathematics Revision Guides Histograms, Cumulative Frequency and Box Plots Page 1 of 25 M.K. HOME TUITION Mathematics Revision Guides Level: GCSE Higher Tier HISTOGRAMS, CUMULATIVE FREQUENCY AND BOX PLOTS
More informationPractice#1(chapter1,2) Name
Practice#1(chapter1,2) Name Solve the problem. 1) The average age of the students in a statistics class is 22 years. Does this statement describe descriptive or inferential statistics? A) inferential statistics
More informationThis document contains Chapter 2: Statistics, Data Analysis, and Probability strand from the 2008 California High School Exit Examination (CAHSEE):
This document contains Chapter 2:, Data Analysis, and strand from the 28 California High School Exit Examination (CAHSEE): Mathematics Study Guide published by the California Department of Education. The
More informationLAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE
LAGUARDIA COMMUNITY COLLEGE CITY UNIVERSITY OF NEW YORK DEPARTMENT OF MATHEMATICS, ENGINEERING, AND COMPUTER SCIENCE MAT 119 STATISTICS AND ELEMENTARY ALGEBRA 5 Lecture Hours, 2 Lab Hours, 3 Credits Pre
More informationSTA201TE. 5. Measures of relationship: correlation (5%) Correlation coefficient; Pearson r; correlation and causation; proportion of common variance
Principles of Statistics STA201TE This TECEP is an introduction to descriptive and inferential statistics. Topics include: measures of central tendency, variability, correlation, regression, hypothesis
More informationStatistics. Draft GCSE subject content
Statistics Draft GCSE subject content September 015 Contents The content for statistics GCSE 3 Introduction 3 Aims and objectives 3 Subject content 3 Overview 3 Detailed subject content 4 Appendix 1 
More informationDESCRIPTIVE STATISTICS  CHAPTERS 1 & 2 1
DESCRIPTIVE STATISTICS  CHAPTERS 1 & 2 1 OVERVIEW STATISTICS PANIK...THE THEORY AND METHODS OF COLLECTING, ORGANIZING, PRESENTING, ANALYZING, AND INTERPRETING DATA SETS SO AS TO DETERMINE THEIR ESSENTIAL
More informationDESCRIPTIVE STATISTICS AND EXPLORATORY DATA ANALYSIS
DESCRIPTIVE STATISTICS AND EXPLORATORY DATA ANALYSIS SEEMA JAGGI Indian Agricultural Statistics Research Institute Library Avenue, New Delhi  110 012 seema@iasri.res.in 1. Descriptive Statistics Statistics
More informationPrentice Hall Mathematics, Algebra 1 2009
Prentice Hall Mathematics, Algebra 1 2009 Grades 912 C O R R E L A T E D T O Grades 912 Prentice Hall Mathematics, Algebra 1 Program Organization Prentice Hall Mathematics supports student comprehension
More informationUNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences Midterm Test March 2014
UNIVERSITY OF TORONTO SCARBOROUGH Department of Computer and Mathematical Sciences Midterm Test March 2014 STAB22H3 Statistics I Duration: 1 hour and 45 minutes Last Name: First Name: Student number: Aids
More informationVariables. Exploratory Data Analysis
Exploratory Data Analysis Exploratory Data Analysis involves both graphical displays of data and numerical summaries of data. A common situation is for a data set to be represented as a matrix. There is
More informationBellwork Students will review their study guide for their test. BoxandWhisker Plots will be discussed after the test.
Course: 7 th Grade Math Student Objective (Obj. 5c) TSW graph and interpret data in a boxandwhisker plot. DETAIL LESSON PLAN Friday, March 23 / Monday, March 26 Lesson 110 BoxandWhisker Plot (Textbook
More informationExpression. Variable Equation Polynomial Monomial Add. Area. Volume Surface Space Length Width. Probability. Chance Random Likely Possibility Odds
Isosceles Triangle Congruent Leg Side Expression Equation Polynomial Monomial Radical Square Root Check Times Itself Function Relation One Domain Range Area Volume Surface Space Length Width Quantitative
More informationBig Ideas in Mathematics
Big Ideas in Mathematics which are important to all mathematics learning. (Adapted from the NCTM Curriculum Focal Points, 2006) The Mathematics Big Ideas are organized using the PA Mathematics Standards
More informationCourse Syllabus MATH 110 Introduction to Statistics 3 credits
Course Syllabus MATH 110 Introduction to Statistics 3 credits Prerequisites: Algebra proficiency is required, as demonstrated by successful completion of high school algebra, by completion of a college
More information3: Summary Statistics
3: Summary Statistics Notation Let s start by introducing some notation. Consider the following small data set: 4 5 30 50 8 7 4 5 The symbol n represents the sample size (n = 0). The capital letter X denotes
More informationData Exploration Data Visualization
Data Exploration Data Visualization What is data exploration? A preliminary exploration of the data to better understand its characteristics. Key motivations of data exploration include Helping to select
More informationPHILOSOPHY OF THE MATHEMATICS DEPARTMENT
PHILOSOPHY OF THE MATHEMATICS DEPARTMENT The Lemont High School Mathematics Department believes that students should develop the following characteristics: Understanding of concepts and procedures Building
More information