Table of contents
- 1. Intro to Stats and Collecting Data(0)
- 2. Describing Data with Tables and Graphs(0)
- 3. Describing Data Numerically(0)
- 4. Probability(0)
- 5. Binomial Distribution & Discrete Random Variables(0)
- 6. Normal Distribution and Continuous Random Variables(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)
- 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)
- 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)
- 14. ANOVA(0)
10. Hypothesis Testing for Two Samples
Two Proportions
10. Hypothesis Testing for Two Samples
Two Proportions: Videos & Practice Problems
17 of 0
Problem 17Multiple Choice
A study investigates the effectiveness of a new safety helmet for cyclists. Out of 1800 cyclists not wearing the new helmet, 27 suffered serious head injuries. Out of 5400 cyclists wearing the new helmet, 9 suffered serious head injuries. At the 0.05 significance level, test the claim that the new helmet reduces the risk of serious head injury. What does the result suggest about the effectiveness of bicycle helmets?
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