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
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Problem 8Multiple Choice
Researchers are studying blood lead levels in two groups: children living near a highway with n=35, xˉ=8.2 μg/dL, and s=3.9 μg/dL, and children living in rural areas with n=35, xˉ=1.1 μg/dL, and s=3.3 μg/dL. Suppose an F test was used at the 0.05 significance level to test the claim that the variation in blood lead levels is greater for children living near the highway than for those in rural areas. Also, the rural group data consists of the following values (in μg/dL): 2, 2, 12, 15, 6, and 30 other values that are all 0.
Does this sample appear to be from a normally distributed population? If not, how does this affect the conclusion from the F test?
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