Statway College 4.1

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Statway College covers all major topics typically contained in an introductory statistical reasoning course across seven modules. In addition, the course is embedded with Productive Persistence social emotional support routines and activities designed to strengthen students’ self-perceptions as math learners.

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Kendall Hunt is pleased to partner with the Carnegie Math Pathways to help lower the cost of high-quality mathematics materials. Digital copies are free to access and download at ***.carnegiemathpathways.org and low-cost print texts are available for purchase at campus bookstores and via this online storefront.

1.1: Setting Course Expectations and Creating Productive Classroom Norms
Preparation 1.2 
1.2: The Statistical Analysis Process
Growth Mindset Activity 1.3
Questions: You Can Grow Your Brain
1.3: Research Questions and Types of Statistical Studies
1.4: Random Sampling & Experiments
1.5: Sampling Strategies, Bias, and Random Assignment in Experiments
1.6: Distributions of Quantitative Data: Dotplots & Histograms
1.7: Quantifying the Center of a Distribution—Sample Mean and Sample Median
1.8: Quantifying Variability Relative to the Median
1.9: Quantifying Variability Relative to the Mean
Stress Reappraisal 
Preparation 2.1
2.1: Introduction to Probabilities
2.2: Probability Types and Probability Rules 
2.3: Probability Distributions of Discrete Random Variables 
2.4: The Binomial Distribution
2.5: Probability Distributions of Continuous Random Variables
2.6: The Normal Distribution and Z-scores
2.7: The Standard Normal Distribution 
Preparation 3.1 
3.1: Sampling Distributions of Sample Proportions
3.2: Confidence Intervals for a Population Proportion
3.3: Hypothesis Tests for a Population Proportion 1
3.4: Hypothesis Tests for a Population Proportion 2
3.5: Hypothesis Tests for a Population Proportion 3
Preparation 4.1
4.1-S: Acorn Mass Table (Supplement)
4.1: Sampling Distributions of Sample Means
Preparation 4.2 
4.2: Confidence Intervals for a Population Mean 
4.3: Hypothesis Tests for Population Means 1 
4.4: Hypothesis Tests for Population Means 2 
5.1: Confidence Intervals for Paired Samples 
5.2: Hypothesis Tests for Paired Samples 
5.3: Distributions of Differences Between Sample Proportions
5.4: Testing for Differences Between Population Proportions
5.5: Distributions of Differences Between Sample Means
5.6: Testing for Differences Between Population Means
5.7: Summary of Inference Methods
Preparation 5.8
5.8: One-Way ANOVA: Equal Sample Sizes 
5.9: One-Way ANOVA: Unequal Sample Sizes 
Preparation 6.1 
6.1: Scatterplots
6.1-SA: Scatterplots (Supplement A)
6.2: Linear Correlation
6.3: Lines of Best Fit
6.4: Residuals and the Line of Best Fit 
6.5: The Coefficient of Determination
6.6: Correlation Inference
6.7: Investigating Patterns and Exponential Models
7.1: The Chi-Square Distribution
7.2: Goodness of Fit
7.3: Testing for Independence with Two-Way Tables
7.4: The Chi-Square Test for Homogeneity in Two-Way Tables

CARNEGIE WEST ED

Statway College covers all major topics typically contained in an introductory statistical reasoning course across seven modules. In addition, the course is embedded with Productive Persistence social emotional support routines and activities designed to strengthen students’ self-perceptions as math learners.

****

Kendall Hunt is pleased to partner with the Carnegie Math Pathways to help lower the cost of high-quality mathematics materials. Digital copies are free to access and download at ***.carnegiemathpathways.org and low-cost print texts are available for purchase at campus bookstores and via this online storefront.

1.1: Setting Course Expectations and Creating Productive Classroom Norms
Preparation 1.2 
1.2: The Statistical Analysis Process
Growth Mindset Activity 1.3
Questions: You Can Grow Your Brain
1.3: Research Questions and Types of Statistical Studies
1.4: Random Sampling & Experiments
1.5: Sampling Strategies, Bias, and Random Assignment in Experiments
1.6: Distributions of Quantitative Data: Dotplots & Histograms
1.7: Quantifying the Center of a Distribution—Sample Mean and Sample Median
1.8: Quantifying Variability Relative to the Median
1.9: Quantifying Variability Relative to the Mean
Stress Reappraisal 
Preparation 2.1
2.1: Introduction to Probabilities
2.2: Probability Types and Probability Rules 
2.3: Probability Distributions of Discrete Random Variables 
2.4: The Binomial Distribution
2.5: Probability Distributions of Continuous Random Variables
2.6: The Normal Distribution and Z-scores
2.7: The Standard Normal Distribution 
Preparation 3.1 
3.1: Sampling Distributions of Sample Proportions
3.2: Confidence Intervals for a Population Proportion
3.3: Hypothesis Tests for a Population Proportion 1
3.4: Hypothesis Tests for a Population Proportion 2
3.5: Hypothesis Tests for a Population Proportion 3
Preparation 4.1
4.1-S: Acorn Mass Table (Supplement)
4.1: Sampling Distributions of Sample Means
Preparation 4.2 
4.2: Confidence Intervals for a Population Mean 
4.3: Hypothesis Tests for Population Means 1 
4.4: Hypothesis Tests for Population Means 2 
5.1: Confidence Intervals for Paired Samples 
5.2: Hypothesis Tests for Paired Samples 
5.3: Distributions of Differences Between Sample Proportions
5.4: Testing for Differences Between Population Proportions
5.5: Distributions of Differences Between Sample Means
5.6: Testing for Differences Between Population Means
5.7: Summary of Inference Methods
Preparation 5.8
5.8: One-Way ANOVA: Equal Sample Sizes 
5.9: One-Way ANOVA: Unequal Sample Sizes 
Preparation 6.1 
6.1: Scatterplots
6.1-SA: Scatterplots (Supplement A)
6.2: Linear Correlation
6.3: Lines of Best Fit
6.4: Residuals and the Line of Best Fit 
6.5: The Coefficient of Determination
6.6: Correlation Inference
6.7: Investigating Patterns and Exponential Models
7.1: The Chi-Square Distribution
7.2: Goodness of Fit
7.3: Testing for Independence with Two-Way Tables
7.4: The Chi-Square Test for Homogeneity in Two-Way Tables

CARNEGIE WEST ED