Welcome to Westonci.ca, the ultimate question and answer platform. Get expert answers to your questions quickly and accurately. Our platform provides a seamless experience for finding reliable answers from a network of experienced professionals. Discover in-depth answers to your questions from a wide network of professionals on our user-friendly Q&A platform.
Sagot :
To determine the conclusion about the null hypothesis, we need to compare the computed test statistic to the critical value.
1. State the given information:
- The test statistic value is [tex]\(\chi^2 = 0.579\)[/tex].
- The critical value is [tex]\(\chi^2 = 5.991\)[/tex].
2. Formulate the decision rule:
- The null hypothesis ([tex]\(H_0\)[/tex]) will be rejected if the test statistic is greater than or equal to the critical value.
- Conversely, if the test statistic is less than the critical value, we fail to reject the null hypothesis.
3. Compare the test statistic to the critical value:
[tex]\[ \chi^2 = 0.579 < 5.991 \][/tex]
4. Draw the conclusion:
Since the test statistic ([tex]\(0.579\)[/tex]) is less than the critical value ([tex]\(5.991\)[/tex]), we fail to reject the null hypothesis ([tex]\(H_0\)[/tex]). This means that there is not sufficient evidence to conclude that college graduation status and cola preference are dependent.
Thus, we conclude:
A. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that college graduation status and cola preference are independent.
1. State the given information:
- The test statistic value is [tex]\(\chi^2 = 0.579\)[/tex].
- The critical value is [tex]\(\chi^2 = 5.991\)[/tex].
2. Formulate the decision rule:
- The null hypothesis ([tex]\(H_0\)[/tex]) will be rejected if the test statistic is greater than or equal to the critical value.
- Conversely, if the test statistic is less than the critical value, we fail to reject the null hypothesis.
3. Compare the test statistic to the critical value:
[tex]\[ \chi^2 = 0.579 < 5.991 \][/tex]
4. Draw the conclusion:
Since the test statistic ([tex]\(0.579\)[/tex]) is less than the critical value ([tex]\(5.991\)[/tex]), we fail to reject the null hypothesis ([tex]\(H_0\)[/tex]). This means that there is not sufficient evidence to conclude that college graduation status and cola preference are dependent.
Thus, we conclude:
A. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that college graduation status and cola preference are independent.
Thank you for choosing our platform. We're dedicated to providing the best answers for all your questions. Visit us again. Thank you for your visit. We're committed to providing you with the best information available. Return anytime for more. Westonci.ca is your go-to source for reliable answers. Return soon for more expert insights.