https://r2.erweima.ai/mathbot/image/1725457136551asmxu3dc.jpg

The question asks for the statistical conclusion based on the results of a Chi-Squared Test of Independence. 

Given:
- **Critical value** = 11.48
- **Calculated test statistic value** = 12.01

In hypothesis testing for the Chi-Squared Test:
- If the calculated test statistic is **greater** than the critical value, you **reject** the null hypothesis.
- If the calculated test statistic is **less than or equal to** the critical value, you **do not reject** the null hypothesis.

Here, since 12.01 > 11.48, the correct statistical conclusion should be:

**Reject the Null hypothesis as 12.01 > 11.48.**

Would you like more details or have any questions?  
Here are 5 related questions you might find useful:

1. What is the significance level (alpha) associated with the critical value of 11.48?
2. Can the Chi-Squared Test of Independence be used for more than two categorical variables?
3. What are the assumptions that need to be met for the Chi-Squared Test of Independence to be valid?
4. How do you calculate the degrees of freedom in a Chi-Squared Test of Independence?
5. What are the implications of rejecting the null hypothesis in a Chi-Squared Test of Independence?

**Tip:** Always ensure that the assumptions for the Chi-Squared Test are met, such as having a sufficient sample size and expected frequencies.

If the critical value for Chi Squared Test of Independence is 11.48 and your calculated test statistic value is 12.01, then your statistical conclusion should be:

Learn how to conclude the result of a Chi-Squared Test of Independence by comparing a critical value of 11.48 with a calculated test statistic of 12.01. Understand the key concepts in hypothesis testing and when to reject the null hypothesis in statistics. Suitable for college-level statistics courses.

Math Problem Statement

Solution

Ask a new question for Free

By Image

Math Problem Analysis

Mathematical Concepts

Formulas

Theorems

Suitable Grade Level

Related Recommendation