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MyLab Statistics  for Statistical Reasoning -- Student Access Kit: (Dana Center Mathematics Pathways)

MyLab Statistics for Statistical Reasoning -- Student Access Kit: (Dana Center Mathematics Pathways)

          
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About the Book

The course is designed for providing statistics students with a deeper understanding of statistical concepts through hands-on and discovery-based learning.   MyStatLab for Statistical Reasoning is part of the series of MyMathLab/MyStatLab courses built to support the New Mathways Project developed by the Charles A. Dana Center. The New Mathways Project embodies the Dana Center’s vision for a systemic approach to improving student success and completion through implementation of processes, strategies, and structures built around three mathematics pathways and a supporting student success course.MyStatLab for Statistical Reasoning is the college-level course in the Statistics pathway for non-STEM students, designed with an active-learning approach that connects statistical concepts to hands-on and discovery-based activities for students. The MyStatLab course designed for use with Statistical Reasoning provides: Interactive content to help prepare students for active classroom time In-Class Interactive Lessons to support students through an active classroom experience, accompanied by notebook PDFs. Homework assignments designed to assess conceptual understanding of important skills and concepts. Additional resources for instructors to help facilitate an interactive and engaging classroom   Built in MyStatLab Content developed by the Charles A. Dana Center at The University of Texas at Austin will be delivered through MyStatLab. MyStatLab is an online homework, tutorial, and assessment program that engages students and improves results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.  

Table of Contents:
Curriculum Overview Before the Semester Begins: Suggestions for Prep Week   Lesson 1: Introduction to Statistics 1.A: Birth Dates and Personality Traits 1.B: Our Learning Community 1.C: Statistical Investigations 1.D: The Statistical Analysis Process 1.E: Types of Statistical Studies and Scope of Conclusions   Lesson 2: Sampling 2.A: Collecting Data by Sampling 2.B: Random Sampling 2.C: Other Sampling Methods (Optional) 2.D: Sources of Bias in Sampling   Lesson 3: Experiments 3.A: Planning an Experiment 3.B: Random Assignment 3.C: Control Groups and Placebos 3.D: Drawing Conclusions from Statistical Studies 3.E: Forming Effective Study Groups   Lesson 4: Univariate Data Displays and Measures of Center 4.A: Dotplots for Quantitative Data 4.B: Constructing Histograms for Quantitative Data 4.C: Weight Gain 4.D: Dotplots, Histograms, and Distributions   Lesson 5: Variability 5.A: Variability Relative to the Mean 5.B: Boxplots 5.C: The Modified Boxplot 5.D: Do the Parties Differ?   Lesson 6: Scatterplots and Correlation 6.A: Introduction to Two-Variable Relationships 6.B: Direction and Strength of the Relationship 6.C: Correlation Coefficient 6.D: Correlation and Cause-and-Effect Conclusions   Lesson 7: Lines of Best Fit 7.A: Using Lines to Make Predictions 7.B: Exploring Lines of Best Fit 7.C: Least Squares Regression (LSR) Line 7.D: Impact of Outliers on Correlations and Regression   Lesson 8: Least Squares Regression Line 8.A: Investigating the Numbers in a Line’s Equation 8.B: Building the LSR Line’s Equation (Optional) 8.C: Determining If a Line Is a Good Fit 8.D: Determining If a Line Is an Appropriate Model   Lesson 9: Bivariate Categorical Data 9.A: Categorical Data and Two-Way Tables 9.B: Comparative Bar Charts 9.C: Case Study   Lesson 10: Probability 10.A: Introduction to Probability 10.B: Study on Blood Pressure 10.C: Probability Rules 10.D: Conditional Probability and Independence 10.E: The Multiplication and Addition Rules   Lesson 11: Probability Distributions 11.A: Simulation 11.B: Probability Distributions of Discrete Random Variables 11.C: Probability Distributions of Continuous Random Variables 11.D: Constructing Probability Distributions   Lesson 12: The Normal Distribution 12.A: The Normal Distribution 12.B: z-Scores and Normal Distributions 12.C: Probability and Critical Values 12.D: Probability and Critical Values (continued)   Lesson 13: Sampling Variability 13.A: Sampling Variability 13.B: What Is a Sampling Distribution? 13.C: The Sampling Distribution of a Sample Proportion 13.D: Effect of Sample Size and the Value of the Population Proportion 13.E: The Standard Error   Lesson 14: Estimating a Population Proportion 14.A: Estimating a Population Proportion 14.B: Calculating a Margin of Error 14.C: Evaluating a Claim–Part 1 14.D: Evaluating a Claim–Part 2   Lesson 15: Confidence Intervals for a Population Proportion 15.A: Confidence Intervals and Confidence Levels 15.B.A: Confidence Interval for a Population Proportion 15.C: Interpreting Confidence Intervals and Margin of Error   Lesson 16: Hypothesis Testing About a Population Proportion 16.A: The Logic of Hypothesis Testing 16.B: Steps in Hypothesis Testing 16.C: Testing Hypotheses About a Population Proportion–Part 1 16.D: Testing Hypotheses About a Population Proportion–Part 2   Lesson 17: Sampling Distribution of a Sample Mean 17.A: Sampling Distribution of a Sample Mean 17.B: Effect of Sample Size and Variability in the Population 17.C: General Properties of the Sampling Distribution of a Sample Mean   Lesson 18: Inference About a Population Mean 18.A: t-Distributions 18.B: One Sample Confidence Interval for a Population Mean–Part 1 18.C: One Sample Confidence Interval for a Population Mean–Part 2 18.D: One Sample Hypothesis Test for a Population Mean–Part 1 18.E: One Sample Hypothesis Test for a Population Mean–Part 2   Lesson 19: Comparing Two Populations 19.A: Hypotheses About a Difference in Population Means or Proportions 19.B: Two-Sample Test for a Difference in Population Proportions 19.C: Paired Versus Independent Samples 19.D: Two-Sample Test for a Difference in Population Means Using Independent Samples 19.E: Inference for Paired Samples 19.F: Two-Sample Confidence Interval for a Difference in Population Proportions 19.G: Two-Sample Confidence Interval for a Difference in Population Means   Lesson 20: Analysis of Categorical Data: Chi-Square Goodness of Fit (Optional) 20.A: Quantifying the Strength of the Evidence 20.B: Conducting the Chi-Square Test 20.C: The Chi-Square Test and Degrees of Freedom   Lesson 21: Analysis of Categorical Data: Chi-Square Tests for Two-Way Tables (Optional) 21.A: Introduction to Chi-Square Tests for Two-Way Tables 21.B: Chi-Square Test for Independence 21.C: Chi-Square Test for Homogeneity   Lesson 22: Inference for Regression (Optional) 22.A: Sampling Distributions of Sample Slopes 22.B: Confidence Intervals for a Population Slope 22.C: Testing Claims About a Population Slope   Lesson 23: One-Way Analysis of Variance (Optional) 23.A: One-Way Analysis of Variance–Equal Sample Sizes 23.B: One-Way Analysis of Variance–Unequal Sample Sizes 23.C: Interpreting a One-Way Analysis of Variance   Answers (Odd) Resources 5-Number Summary and Boxplots Categorical Data The Chi-Square (χ2) Distribution The Chi-Square (χ2) Goodness-of-Fit Test The Chi-Square (χ2) Test for Homogeneity The Chi-Square (χ2) Test for Independence Confidence Intervals for Means Confidence Intervals for Proportions Experimental Studies Fractions, Decimals, and Percentages Hypothesis Testing for Means Hypothesis Testing for Proportions Inference for Regression Introduction to Statistical Studies Mean, Mode, and Median The Normal Distribution One-Way Analysis of Variance Probability Rules Sampling Methods t-Distributions Technology: Summary Statistics and LSR Line Variance and Standard Deviation Writing Principles Glossary


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Product Details
  • ISBN-13: 9780134391656
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Depth: 6
  • Height: 279 mm
  • Returnable: N
  • Spine Width: 2 mm
  • Width: 216 mm
  • ISBN-10: 0134391659
  • Publisher Date: 13 Aug 2018
  • Binding: LB
  • Edition: PSC STU
  • Language: English
  • Series Title: Dana Center Mathematics Pathways
  • Weight: 14 gr


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