A company embarks on a new program to boost morale and improve employee producti
ID: 3170343 • Letter: A
Question
A company embarks on a new program to boost morale and improve employee productivity. Records for a sample of 64 employees indicate a mean moral of 5.6 with a standard deviation of 1.2 after the program was given. In comparison to a known population mean moral of 4.5 with a standard deviation of 1.0, what test would be most appropriate?
Single-sample Z-Test
Single-sample t-test
Chi-square Goodness of Fit test.
Chi-square test for Independence
0.25 points
Question 9
A company embarks on a new program to boost morale and improve employee productivity. Records for a sample of 64 employees indicate a mean moral of 5.6 with a standard deviation of 1.2 after the program was given. In comparison to a known population mean moral of 4.5, what is the appropriate test to use?
Single-sample Z-Test
Single-sample t-test
Chi-square Goodness of Fit test.
Chi-square test for Independence
0.25 points
Question 10
A company embarks on a new program to boost morale and improve employee productivity. Records for a sample of 64 employees indicate that 39 showed improved productivity after the program was initiated, and 46 reported improved morale. What is the appropriate test to use?
Single-sample Z-Test
Single-sample t-test
Chi-square Goodness of Fit test.
Chi-square test for Independence
0.25 points
Question 11
A company is interested if employee seniority is related to the level of participation seen in a recent program meant to boost morale. Records for a sample of 64 employees indicate that for high seniority employees, 10 had a high participation rate and 15 had a low participation rate. For low seniority employees, 20 employees had a high participation rate and 15 employees had a low participation rate. What test would best determine whether seniority is related to the level of program involvement?
Single-sample Z-Test
Single-sample t-test
Chi-square Goodness of Fit test.
Chi-square test for Independence
0.25 points
Question 12
Parametric tests require interval or ratio data, but non-parametric tests are simpler because they only require frequency data.
True
False
0.25 points
Question 13
The null hypothesis states that there is no relation between birth order and personality - the two variables are independent. With n = 100 and the following observed frequencies, you determined earlier in the week that the chi-square value (chi-square observed) was 6.888, a significant effect. Now determine the effect size using Cramer's V.
1st Born
2nd Born
3rd Born
Outgoing
13
31
16
Reserved
17
19
4
V = .16
V = .26
V = .36
V = .46
Single-sample Z-Test
Single-sample t-test
Chi-square Goodness of Fit test.
Chi-square test for Independence
Explanation / Answer
Solution:
8) Single-sample Z-Test
We will use Z test becuase sample size is greater than 30 and population standard deviation is known.
9) Single-sample t-test
We use t-test becuase population standard deviation is unknown.
10) Chi-square Goodness of Fit test.
We use a chi-square goodness of fit test to see whether our sample distribution differed significantly from the distribution before the program.
11)Chi-square test for Independence
The Chi-Square test of Independence is used to determine if there is a significant relationship between two nominal (categorical) variables. The frequency of one nominal variable is compared with different values of the second nominal variable
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