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 20 7 23 19 E 10 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.= What is the p-value for this sample? (Round answer to 3 decimal places.) p-value= The p-value is... O less than (or equal to) a O greater than a This test statistic leads to a decision to... O reject the null O fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to be selected. There is not sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to be selected.

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**Chi-Squared Goodness of Fit Test:**

You are conducting a Goodness of Fit Chi-Squared hypothesis test (\(\alpha = 0.05\)) for the claim that all 5 categories are equally likely to be selected. Complete the table.

| Category | Observed Frequency | Expected Frequency | ((O-E)^2/E) |
|----------|--------------------|--------------------|-------------|
| A        | 20                 |                    |             |
| B        | 7                  |                    |             |
| C        | 23                 |                    |             |
| D        | 19                 |                    |             |
| E        | 10                 |                    |             |

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

- **Calculations Needed:**
  - 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.)
    - \(\chi^2 = \) 

  - What are the degrees of freedom for this test?
    - d.f. = 

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

- **Options for Conclusion:**
  - The p-value is:
    - ○ less than (or equal to) \(\alpha\)
    - ○ greater than \(\alpha\)

  - This test statistic leads to a decision to:
    - ○ reject the null
    - ○ fail to reject the null

- **Final Conclusion:**
  - ○ There is sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to be selected.
  - ○ There is not sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to be selected.
Transcribed Image Text:**Chi-Squared Goodness of Fit Test:** You are conducting a Goodness of Fit Chi-Squared hypothesis test (\(\alpha = 0.05\)) for the claim that all 5 categories are equally likely to be selected. Complete the table. | Category | Observed Frequency | Expected Frequency | ((O-E)^2/E) | |----------|--------------------|--------------------|-------------| | A | 20 | | | | B | 7 | | | | C | 23 | | | | D | 19 | | | | E | 10 | | | - **Instructions:** - Round Expected values to exactly 2 decimal places. Retain unrounded numbers for future calculations. - Round the ((O-E)^2/E) values to 3 decimal places. - **Calculations Needed:** - 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.) - \(\chi^2 = \) - What are the degrees of freedom for this test? - d.f. = - What is the p-value for this sample? (Round answer to 3 decimal places.) - p-value = - **Options for Conclusion:** - The p-value is: - ○ less than (or equal to) \(\alpha\) - ○ greater than \(\alpha\) - This test statistic leads to a decision to: - ○ reject the null - ○ fail to reject the null - **Final Conclusion:** - ○ There is sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to be selected. - ○ There is not sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to be selected.
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