What is your null hypothesis

Question # 00111009 Posted By: echo7 Updated on: 10/02/2015 02:53 PM Due on: 11/01/2015
Subject Business Topic General Business Tutorials:
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Lab Assignment #7

ANOVA

An experiment was conducted to determine if motivational techniques in management significantly impacted employee stress levels compared to no intervention. An employee survey was given to three groups: one group under a manager who started using a transformational motivation technique, one group under a manager who began using a transformational motivation technique, and then a control group with no new technique used. Stress levels were self-reported by the employees as shown below. Use alpha = 0.05

Transformational

Transactional

Control

0

2

6

7

5

5

3

3

8

5

0

9

2

1

5

1. What is your null hypothesis?

2. What is your alternative hypothesis?

3. After running the single factor analysis of variance on the data, what is the p-value for between groups?

4. Using the 95% significance level, is there a significance difference in stress levels between the three groups? Yes No

5. Do you reject or accept the null hypothesis? Reject Accept

Chi-Square Test for Independence

Using Chi-Square, we are looking to see if there is a significant difference between what we would expect results to be, and what the actual results were. That is, expected vs. observed. Use alpha = .05

Listed below are data from a survey conducted recently where Males and Females responded to their happiness with their supervisor (this is fictitious data).

Response

Male

Female

Total

Not at all

23

25

48

Somewhat

13

22

35

Very

26

16

42

Total

62

63

125

What is your null hypothesis?

What is your alternative hypothesis?

What is the Chi-Square value?

Is there significance evidence that a difference exists between the actual males and female responses in this sample and the expected male/female responses in the population? YES OR NO

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Tutorials for this Question
  1. Tutorial # 00105437 Posted By: echo7 Posted on: 10/02/2015 02:53 PM
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    Independence Using Chi-Square, we are looking to see if there ...
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