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“Analyzing Statistical Significance in Psychological Research: A Case Study of Student Data”

To apply statistical significance methodology to psychological research, you need to understand critical values of your data.
Using the same scenario you chose in Part 1 of this assignment, you will now analyze your data (Statistic Project Student Data), report your findings (results section), and give your recommendations. These are based on these critical values.
If you compared what you have done so far to a research article, you could say you have completed the Introduction, Literature Review, and Methods sections, explaining your research. For Part II of this assignment, you will be explaining the results.
Imagine that you continue in your role as an intern.
Your supervisor has requested that you analyze your data using Microsoft® Excel® software.
Write a 750- to 1,050-word summary of that analysis that includes the following information:
Describe what method you are using to compare groups. (What is your statistical measure or test?)
Copy and paste the output into your summary, answering the following questions:
What is the significance level of the comparison?
What was the alpha level you identified in Part I?
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?
Explain what these results mean in everyday language and in context to your organization.
Make a recommendation based on the findings.
Include what further research you believe would need to be completed, based on your findings and your literature review.
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
18.2857142
Variance
5.267857143
9
Observations
8
8
Pooled variance
11.77678571
Hypothesized mean difference
0
df
14
-1.821237697
t stat
P(T

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