identify the test statistic, p value, and identify whether it is "reject" or "fail to reject" using stat crunch. **Analysis of Weekly Police Report Call Frequencies**A police department released the numbers of calls for the different days of the week during the month of October. The data are presented in the table below. We will use a 0.01 significance level to test the claim that the different days of the week have the same frequencies of police calls. **Fundamental Question:***What is the fundamental error with this analysis?***Data Table:**```| Day | Sun | Mon | Tues | Wed | Thurs | Fri | Sat ||------------|-----|-----|------|-----|-------|-----|-----|| Frequency | 160 | 200 | 223 | 247 | 171 | 214 | 233 |```**Null Hypothesis \(H_0\):**- All days have the same frequency of calls.**Alternative Hypothesis \(H_1\):**- At least one day has a different frequency of calls than the other days.**Calculate the test statistic, \( \chi^2 \):**\[ \chi^2 = \boxed{\hspace{50px}} \]*(Round to three decimal places as needed.)* **Instructions for Calculation:**1. Calculate the expected frequency for each day by averaging the total number of calls over the 7 days.2. Use the formula for the Chi-square test statistic:\[ \chi^2 = \sum \frac{(O_i - E_i)^2}{E_i} \]Where \(O_i\) is the observed frequency, and \(E_i\) is the expected frequency.3. Compare the calculated \( \chi^2 \) value with the critical value from the Chi-square distribution table at a 0.01 significance level with 6 degrees of freedom (number of categories - 1).This analysis helps in determining if the distribution of calls is uniform across the days of the week or if there are significant differences.

Name: identify the test statistic, p value, and identify whether it is "reje
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: identify the test statistic, p value, and identify whether it is "reject" or "fail to reject" using stat crunch. **Analysis of Weekly Police Report Call Frequencies**A police department released the numbers of calls for the different days of the week