You are conducting a Goodness of Fit Chi-Squared hypothesis test (a = 0.05) for the claim that all 5 categories are equally likely to be selected. Complete the table. Category ((O-E)^2/E) A B C D Observed Expected Frequency Frequency 5 7 24 23 E 17 Round Expected values accurate to exactly 2 decimal places. Retain unrounded numbers for future calculations. Round the ((O-E)^2/E) values to 3 decimals. What is the chi-square test-statistic for this data? (Round answer to 3 decimal places, and remember to use the unrounded Pearson residuals in your calculations.) x² What are the degrees of freedom for this test? d.f.= 4 What is the p-value for this sample? (Round answer to 3 decimal places.) p-value =

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### Goodness of Fit Chi-Squared Hypothesis Test

You are conducting a Goodness of Fit Chi-Squared hypothesis test (\(\alpha = 0.05\)) for the claim that all five categories are equally likely to be selected. Complete the table.

#### Categories Table

| Category | Observed Frequency | Expected Frequency | \((O-E)^2/E\) |
|----------|--------------------|---------------------|---------------|
| A        | 5                  |                     |               |
| B        | 7                  |                     |               |
| C        | 24                 |                     |               |
| D        | 23                 |                     |               |
| E        | 17                 |                     |               |

**Instructions:**
- **Round Expected values** accurate to exactly 2 decimal places. Retain unrounded numbers for future calculations.
- **Round the \((O-E)^2/E\) values** to 3 decimals.

#### Questions

1. What is the chi-square test-statistic for this data? (Round the answer to 3 decimal places, and remember to use the unrounded Pearson residuals in your calculations.)

   \(\chi^2 = \) [ ]

2. What are the degrees of freedom for this test?

   \(d.f. = 4\) ✔️

3. What is the p-value for this sample? (Round answer to 3 decimal places.)

   p-value = [ ]

This setup involves calculating the expected frequency for each category, determining the chi-square statistic, identifying degrees of freedom, and finding the p-value. The degrees of freedom here are calculated as the number of categories (5) minus 1.
Transcribed Image Text:### Goodness of Fit Chi-Squared Hypothesis Test You are conducting a Goodness of Fit Chi-Squared hypothesis test (\(\alpha = 0.05\)) for the claim that all five categories are equally likely to be selected. Complete the table. #### Categories Table | Category | Observed Frequency | Expected Frequency | \((O-E)^2/E\) | |----------|--------------------|---------------------|---------------| | A | 5 | | | | B | 7 | | | | C | 24 | | | | D | 23 | | | | E | 17 | | | **Instructions:** - **Round Expected values** accurate to exactly 2 decimal places. Retain unrounded numbers for future calculations. - **Round the \((O-E)^2/E\) values** to 3 decimals. #### Questions 1. What is the chi-square test-statistic for this data? (Round the answer to 3 decimal places, and remember to use the unrounded Pearson residuals in your calculations.) \(\chi^2 = \) [ ] 2. What are the degrees of freedom for this test? \(d.f. = 4\) ✔️ 3. What is the p-value for this sample? (Round answer to 3 decimal places.) p-value = [ ] This setup involves calculating the expected frequency for each category, determining the chi-square statistic, identifying degrees of freedom, and finding the p-value. The degrees of freedom here are calculated as the number of categories (5) minus 1.
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