1. Which of the following is the most appropriate statement of the null hypothesis for this test?
A. H0: χ2 > 0
B. H0: fo > fe
C. H0: χ2 = 0
D. H1: μ = 0
E. H0: χ2 ≠ 0
2. Which of the following is the most appropriate statement of the alternative or research hypothesis for this test?
A. H1: μ ≠ 0
B. H0: fo = fe
C. H0: χ2 = 0
D. H1: μ = 0
E. H1: χ2 ≠ 0
3. How many observations or cases are there?
4. What are the column marginals?
5. What are the row marginals?
6.What is the size of this contingency table?
A. 1x1
B. 2x2
C. 3x3
D. 4x4
E. 2x3
1. Which of the following is the most appropriate statement of the null hypothesis for this test?
C. H0: χ2 = 0
2. Which of the following is the most appropriate statement of the alternative or research hypothesis for this test?
E. H1: χ2 ≠ 0
3. How many observations or cases are there?
160
4. What are the column marginals?
160
5. What are the row marginals?
160
6.What is the size of this contingency table?
B. 2x2
1. Which of the following is the most appropriate statement of the null hypothesis for this...
A.
B.
Please follow the steps of hypothesis testing, including
identifying the alternative and null hypothesis, calculating the
test statistic, finding the p-value, and making a conclusions about
the null hypothesis and a final conclusion that addresses the
original claim. Use a significance level of 0.10. Is the conclusion
affected by whether the significance level is 0.10 or 0.01?
Test Statistic=______ (Round to two decimal places)
P-Value=______ (Round to three decimal places)
Answer choices below:
a) Yes, the conclusion is...
Use the following regression output from R studio and answer the
following questions.
1. Comment on the relation between the two test marks.
A. There appears to be no linear relation between the
two test marks
B. There appears to be strong negative linear relation between the
two test marks.
C. There appears to be weak positive linear relation between the
two test marks.
D. There appears to be strong positive linear relation
between the two test marks.
2. If the linear...