Which of the following cannot be used to display the relationship between two categorical variables?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 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 - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
13. Chi-Square Tests & Goodness of Fit
Contingency Tables
Problem 10.2.12
Textbook Question
Finding Expected Frequencies
In Exercises 7–12, (a) calculate the marginal frequencies and (b) find the expected frequency for each cell in the contingency table. Assume that the variables are independent.

Verified step by step guidance1
Step 1: Calculate the marginal frequencies for each row (type of movie rented) by summing the values across all age groups. For example, for Comedy, sum 38 + 30 + 24 + 10 + 8.
Step 2: Calculate the marginal frequencies for each column (age group) by summing the values across all movie types. For example, for the age group 18–24, sum 38 + 15 + 12.
Step 3: Compute the grand total by summing all the values in the table. This is the sum of all marginal frequencies.
Step 4: Use the formula for expected frequency: \( E_{ij} = \frac{(R_i \times C_j)}{T} \), where \( R_i \) is the row total, \( C_j \) is the column total, and \( T \) is the grand total. Apply this formula to each cell in the table.
Step 5: Verify that the sum of all expected frequencies matches the grand total as a check for accuracy.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Marginal Frequencies
Marginal frequencies are the sums of the rows or columns in a contingency table, representing the total counts for each category. They provide a summary of the data, allowing for a quick understanding of the distribution of each variable independently. For example, in the given table, the marginal frequency for the 'Comedy' row is the total number of comedies rented across all age groups.
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Expected Frequencies
Expected frequencies are the theoretical counts that would occur in each cell of a contingency table if the variables were independent. They are calculated by multiplying the marginal totals of the corresponding row and column, then dividing by the overall total. This concept is crucial for conducting chi-square tests, as it helps determine if there is a significant association between the variables.
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Independence of Variables
The independence of variables means that the occurrence of one variable does not affect the occurrence of another. In the context of a contingency table, if the variables are independent, the expected frequencies can be calculated as described. Understanding this concept is essential for interpreting the results of statistical tests, as it underpins the assumptions made when analyzing the data.
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