Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically2h 8m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables3h 28m
- 6. Normal Distribution & Continuous Random Variables2h 21m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 37m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals22m
- Confidence Intervals for Population Mean1h 26m
- 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 33m
- 9. Hypothesis Testing for One Sample3h 32m
- 10. Hypothesis Testing for Two Samples4h 49m
- Two Proportions1h 12m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 2m
- 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 59m
- 13. Chi-Square Tests & Goodness of Fit2h 31m
- 14. ANOVA2h 1m
13. Chi-Square Tests & Goodness of Fit
Contingency Tables
Struggling with Statistics for Business?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A company wants to understand if the type of product (Electronic vs. Furniture) purchased is associated with the customer's location (Urban vs. Rural). A survey was conducted, and the following data was collected from 400 customers. Calculate the expected frequencies for each cell in the table, assuming the null hypothesis that the type of product purchased and the location of the customer are independent.

A
E1,1 = 100; E2,1 = 100; E1,2 = 100; E2,2 = 1000
B
E1,1 = 42.5; E2,1 = 57.5; E1,2 = 47.5; E2,2 = 52.5
C
E1,1 = 80.75; E2,1 = 89.25; E1,2 = 109.25; E2,2 = 120.75
D
E1,1 = 100; E2,1 =70; E1,2 = 90; E2,2 = 140
Verified step by step guidance1
Step 1: Understand the problem. The goal is to calculate the expected frequencies for each cell in the table under the assumption that the type of product purchased and the customer's location are independent. This involves using the formula for expected frequency: E(i,j) = (Row Total * Column Total) / Grand Total.
Step 2: Identify the totals from the table. The row totals are Urban = 190 and Rural = 210. The column totals are Electronic = 170 and Furniture = 230. The grand total is 400.
Step 3: Calculate the expected frequency for the cell (Urban, Electronic). Use the formula: E(Urban, Electronic) = (Row Total for Urban * Column Total for Electronic) / Grand Total. Substituting the values: E(Urban, Electronic) = (190 * 170) / 400.
Step 4: Calculate the expected frequency for the cell (Urban, Furniture). Use the formula: E(Urban, Furniture) = (Row Total for Urban * Column Total for Furniture) / Grand Total. Substituting the values: E(Urban, Furniture) = (190 * 230) / 400.
Step 5: Repeat the process for the Rural row. Calculate E(Rural, Electronic) = (Row Total for Rural * Column Total for Electronic) / Grand Total, and E(Rural, Furniture) = (Row Total for Rural * Column Total for Furniture) / Grand Total.
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