Obligations to Vote and Serve In the General Social Survey, individuals were asked whether civic duty included voting and whether it included serving on a jury. The results of the survey are shown in the table. Is there a difference in the proportion of individuals who feel jury duty is a civic duty and the proportion of individuals who feel voting is a civic duty? Use the α = 0.05 level of significance.
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 56m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - ExcelBonus23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - ExcelBonus28m
- Confidence Intervals for Population Means - ExcelBonus25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 8m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - ExcelBonus42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - ExcelBonus27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors16m
- 10. Hypothesis Testing for Two Samples5h 37m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - ExcelBonus28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - ExcelBonus12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - ExcelBonus9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - ExcelBonus21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - ExcelBonus12m
- Two Variances and F Distribution29m
- Two Variances - Graphing CalculatorBonus16m
- 11. Correlation1h 24m
- 12. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - ExcelBonus8m
- Finding Residuals and Creating Residual Plots - ExcelBonus11m
- Inferences for Slope31m
- Enabling Data Analysis ToolpakBonus1m
- Regression Readout of the Data Analysis Toolpak - ExcelBonus21m
- Prediction Intervals13m
- Prediction Intervals - ExcelBonus19m
- Multiple Regression - ExcelBonus29m
- Quadratic Regression15m
- Quadratic Regression - ExcelBonus10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA2h 28m
13. Chi-Square Tests & Goodness of Fit
Contingency Tables
Multiple Choice
The table below shows the results from a drug trial for a new ADHD medication. Find the frequencies that we would expect if improvement of symptoms was independent of whether a participant received the placebo.

A
E1,1 = 25.0; E2,1 = 25.0; E1,2 = 25.0; E2,2 = 25.0
B
E1,1 = 28.6; E2,1 = 26.4; E1,2 = 23.4; E2,2 = 21.6
C
E1,1 = 26.4; E2,1 = 21.6; E1,2 = 28.6; E2,2 = 23.4
D
E1,1 = 18; E2,1 = 30; E1,2 = 37; E2,2 = 15
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Verified step by step guidance1
Step 1: Understand the problem. We are tasked with finding the expected frequencies under the assumption that improvement of symptoms is independent of whether a participant received the placebo. This involves using the formula for expected frequency in a contingency table: E = (row total × column total) / grand total.
Step 2: Identify the totals from the table. The row totals are: Improved = 55, Not Improved = 45. The column totals are: Placebo = 48, Non-Placebo = 52. The grand total is 100.
Step 3: Calculate the expected frequency for each cell using the formula E = (row total × column total) / grand total. For example, for the 'Improved and Placebo' cell: E1,1 = (55 × 48) / 100.
Step 4: Repeat the calculation for the other cells: 'Improved and Non-Placebo' (E1,2), 'Not Improved and Placebo' (E2,1), and 'Not Improved and Non-Placebo' (E2,2). Use the same formula for each cell.
Step 5: Verify that the sum of the expected frequencies for each row and column matches the respective row and column totals. This ensures the calculations are consistent with the independence assumption.
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