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Dataset for Salary - Essay Example

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The paper "Dataset for Salary" tells us about a statistical technique used to model an organization's compensation system based on data regarding factors expected to influence pay and determine to what extent gender or other protected characteristics may influence employees' compensation…

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Subject: Psychology
Type: Essay
Level: Masters
Pages: 1 (250 words)
Downloads: 2
Author: yshanahan

Extract of sample "Dataset for Salary"

A two-tailed t-test with unequal variances should be performed for the sample data.
The average salary for men is 30,286, while the average salary for women is 29,866. Although males have an average larger annual salary, the difference is so small that it is not significant. This is clear from examining the T-Test results that were constructed, which indicate a .4333 result, which is significantly larger than the .05 number.
A two-tailed t-test with equal variances should be performed for this assumption.
The assumption of matched participants did not change the hypothesis or assumption of a directional relationship, so it did not change the type of t-test; however, equal variances could be assumed with this version and this may have not been the case in the first assumption.
The same conclusion was reached; namely, that there was no significant difference between the salaries.
They were only slightly different when different variances were assumed. But the result was the same. This is because the participants remained different for each study and so the test that was conducted was the same.
Generally random assignment is the best way to assign participants to groups because this ensures that the data is unbiased.
No, this is not a true experiment because the subjects were not randomly assigned. This is because was a factor in the first study and years of experience in the second.
No, the dataset could not be from a true experiment because it was not randomly assigned.
The subjects were randomly assigned into category A or category B. Their salaries were then examined in terms of the extent that they demonstrated a significant difference.
A quasi-experimental design was undertaken in which male participants’ salaries were featured in category A and female participants’ salaries were featured in category B. The study tested to see if there was a significant difference between the designs.

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