Question

Hypothesis Testing

Method A = ADKAR Framework (column A)

Method B = Prosci Change Management Methodology (column B)

• Null hypothesis is H₀: Method A = Method B
• Research (Alternative) hypothesis is H₁:Method A < Method B
• Sample size: 30
• One-tailed test: Direction stated in the hypothesis is determine more effective (greater or less than).
  • Level of Significance (a): .05
  • t-test is used because standard deviation of population is unknown, sample size is less than 30
• Cutoff Sample Score (critical value) (t): t value = - 4.126
• Dependent Variable: Scores of Employee Satisfaction
• Independent Variable: Methods Used
• Rejection region test: test statistic =   - 1.699
• Conclusion: t (= - 4.126) < t _0.05 (29)  
  • Reject Null Hypothesis (H₀)
  • Accept the Alternative Hypothesis (H₁)
  • Employees accept change more effectively by the Prosci Change Management Methodology (Method B)
  • Method A < Method B with a 5% level of significance

Question below ------ BASED ON ABOVE:

• Describe what method you are using to compare groups.
• Copy and paste the output into a Microsoft^® Word document, and also answer the following questions:
  
  • What is the significance level of the comparison?
  • What was the alpha level you identified in Week 3?
  • What was the means and variance for each variable?
  • What was the test statistic?
  • What was the critical value for both the one- and two-tailed test?
  • Was your test one-tailed or two-tailed?
  • Were you able to reject the null hypothesis? In other words, did you prove there was a difference?

• Talk about what these results mean in everyday language and in context to your chosen scenario.
• Make a recommendation based on the findings.

Format your paper according to APA guidelines.

Example of Output You Would Use to Answer These Questions

t Test: Two-Sample Assuming Equal Variances
	Variable 1	Variable 2
Mean	4.875	8
Variance	5.267857143	18.28571429
Observations	8	8
Pooled variance	11.77678571
Hypothesized mean difference	0
df	14
t stat	-1.821237697
P(T <= t) one-tail	0.045002328
t Critical one-tail	1.761310136
P(T <= t) two-tail	0.090004655
t Critical two-tail	2.144786688

Answer 1

Result of the hypothesis test is,

t Test: Two-Sample Assuming Equal Variances
	Variable 1	Variable 2
Mean	4.875	8
Variance	5.267857143	18.28571429
Observations	8	8
Pooled variance	11.77678571
Hypothesized mean difference	0
df	14
t stat	-1.821237697
P(T <= t) one-tail	0.045002328
t Critical one-tail	1.761310136
P(T <= t) two-tail	0.090004655
t Critical two-tail	2.144786688

Method use:

Two sample t test is used to compare the means assuming equal variance

Significance level of the comparison

Significance level,

0.05

From the result summary,

t Critical one-tail

1.761310136

From the t distribution table, t-critical = 1.761310136 for significance level = 0.05

the significance level for the t

The significance level for the t statistic is define by P-value. Since the significance level of the test is 0.05. The significance level for the t statistic is P-value = 0.05

Alpha level you identified in Week 3

0.05

Means and variance for each variable.

t Test: Two-Sample Assuming Equal Variances
	Variable 1	Variable 2
Mean	4.875	8
Variance	5.267857143	18.28571429

The test statistic

t statistic

-1.821237697

Critical value for both the one- and two-tailed test

The critical value for one tailed t statistic is,

t Critical one-tail

1.761310136

and for the two tailed t statistic is,

t Critical two-tail

2.144786688

test one-tailed or two-tailed

Since the Alternate hypothesis test whether the Method B more effective,

Ho:Method A < Method B.

This is one tailed test.

Whether the null hypothesis rejected or failed to reject?

P(T<=t) one tail = 0.045002328 < significance level = 0.05.

Since the P-value for the one tailed test statistic is less than significance level =0.05, the null hypothesis is rejected at 5% significance level..

Hence Method B is significantly more effective.

Results

Employees accept change more effectively by the Prosci Change Management Methodology (Method B)