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1. Intro to Stats and Collecting Data(0)

Intro to Stats
(0)

Levels of Measurement
(0)

Intro to Collecting Data
(0)

Sampling Methods
(0)

2. Describing Data with Tables and Graphs(0)

Visualizing Qualitative vs. Quantitative Data
(0)

Frequency Distributions
(0)

Histograms
(0)

Bar Graphs and Pareto Charts
(0)

Pie Charts
(0)

Frequency Polygons
(0)

Dot Plots
(0)

Stemplots (Stem-and-Leaf Plots)
(0)

Time-Series Graph
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3. Describing Data Numerically(0)

Mean
(0)

Median
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Mode
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Standard Deviation
(0)

Interpreting Standard Deviation
(0)

Percentiles & Quartiles
(0)

Describing Data Numerically Using a Graphing Calculator
(0)

Boxplots
(0)

Boxplots-Excel
(0)

4. Probability(0)

Basic Concepts of Probability
(0)

Complements
(0)

Addition Rule
(0)

Multiplication Rule: Independent Events
(0)

Introduction to Contingency Tables
(0)

Multiplication Rule: Dependent Events
(0)

Bayes' Theorem
(0)

Fundamental Counting Principle
(0)

Counting
(0)

5. Binomial Distribution & Discrete Random Variables(0)

Discrete Random Variables
(0)

Binomial Distribution
(0)

Finding Binomial Probabilities-Excel
(0)

Poisson Distribution
(0)

Finding Poisson Probabilities-Excel
(0)

Hypergeometric Distribution
(0)

6. Normal Distribution and Continuous Random Variables(0)

Uniform Distribution
(0)

Standard Normal Distribution
(0)

Probabilities & Z-Scores w/ Graphing Calculator
(0)

Non-Standard Normal Distribution
(0)

Finding Probabilities, Z Values, and X Values with the Normal Distribution-Excel
(0)

7. Sampling Distributions & Confidence Intervals: Mean(0)

Sampling Distribution of the Sample Mean and Central Limit Theorem
(0)

Distribution of Sample Mean - Excel
(0)

Introduction to Confidence Intervals
(0)

Confidence Intervals for Population Mean
(0)

Determining the Minimum Sample Size Required
(0)

Finding Probabilities and T Critical Values - Excel
(0)

Confidence Intervals for Population Means - Excel
(0)

8. Sampling Distributions & Confidence Intervals: Proportion(0)

Sampling Distribution of Sample Proportion
(0)

Confidence Intervals for Population Proportion
(0)

Confidence Intervals for Population Proportion - Excel
(0)

Chi Square Distribution
(0)

Confidence Intervals for Population Variance
(0)

9. Hypothesis Testing for One Sample(0)

Steps in Hypothesis Testing
(0)

Performing Hypothesis Tests: Means
(0)

Hypothesis Testing: Means - Excel
(0)

Performing Hypothesis Tests: Proportions
(0)

Hypothesis Testing: Proportions - Excel
(0)

Performing Hypothesis Tests: Variance
(0)

Critical Values and Rejection Regions
(0)

Link Between Confidence Intervals and Hypothesis Testing
(0)

Type I & Type II Errors
(0)

10. Hypothesis Testing for Two Samples(0)

Two Proportions
(0)

Two Proportions Hypothesis Test - Excel
(0)

Two Means - Unknown, Unequal Variance
(0)

Two Means - Unknown Variances Hypothesis Test - Excel
(0)

Two Means - Unknown, Equal Variance
(0)

Two Means - Unknown, Equal Variances Hypothesis Test - Excel
(0)

Two Means - Known Variance
(0)

Two Means - Sigma Known Hypothesis Test - Excel
(0)

Two Means - Matched Pairs (Dependent Samples)
(0)

Matched Pairs Hypothesis Test - Excel
(0)

Two Variances and F Distribution
(0)

Two Variances - Graphing Calculator
(0)

11. Correlation(0)

Scatterplots & Intro to Correlation
(0)

Correlation Coefficient
(0)

Creating Scatterplots and FInding Correlation Coefficient - Excel
(0)

Hypothesis Tests for Correlation Coefficient Using TI-84
(0)

Inferences for the Correlation Coefficient - Excel
(0)

12. Regression(0)

Linear Regression & Least Squares Method
(0)

Residuals
(0)

Coefficient of Determination
(0)

Regression Line Equation and Coefficient of Determination - Excel
(0)

Finding Residuals and Creating Residual Plots - Excel
(0)

Inferences for Slope
(0)

Enabling Data Analysis Toolpak
(0)

Regression Readout of the Data Analysis Toolpak - Excel
(0)

Prediction Intervals
(0)

Prediction Intervals - Excel
(0)

Multiple Regression - Excel
(0)

Quadratic Regression
(0)

Quadratic Regression - Excel
(0)

13. Chi-Square Tests & Goodness of Fit(0)

Goodness of Fit Test
(0)

Goodness of FIt Test Using TI-84
(0)

Goodness of Fit Test - Excel
(0)

Contingency Tables
(0)

Independence Tests
(0)

Homogeneity Tests
(0)

Using Matrices on a TI-84
(0)

Independence Test Using TI-84
(0)

Independence Tests - Excel
(0)

14. ANOVA(0)

Introduction to ANOVA
(0)

One-Way ANOVA - Excel
(0)

Multiple Comparisons: Tukey Test
(0)

Multiple Comparisons: Tukey-Kramer Test
(0)

Multiple Comparisons: Bonferoni Test
(0)

Two-Way ANOVA
(0)

Two-Way ANOVA - Excel
(0)

1. Intro to Stats and Collecting Data

Intro to Stats

1. Intro to Stats and Collecting Data

Intro to Stats: Videos & Practice Problems

Video Lessons Practice Worksheet

Back to all problems

113 of 0

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Problem 113Multiple Choice

For the multiple regression equation developed to predict fuel efficiency (miles per gallon, mpg) of cars based on engine size (liters), vehicle weight (kg), and horsepower, the coefficient of determination is found to be:
𝑅² = 0.785
Question: What does this value of 𝑅² tell us about the regression model?

78.5% of the fuel efficiency values will be within 78.5% of their true values.

78.5% of fuel efficiency values will be correctly predicted by this model.

The regression model is 78.5% accurate in predicting fuel efficiency.

78.5% of the variation in fuel efficiency can be explained by engine size, weight, and horsepower.

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