Dataset for Salary

Dataset for Salary
This hypothetical dataset contains salary data for 30 male and 30 female employees at a manufacturing plant. Using the hypothetical dataset, make the following assumptions and answer the questions below.

Assume an equal number of male and female employees at the manufacturing plant and that the salaries of 30 male and 30 female were chosen at random for comparison. Enter the male and female data into separate columns in GraphPad QuickCalcs and perform a t test on the data.
Which form of the t test should you choose for your analysis?
What conclusions can you draw from the results of this analysis?
Now assume that the 30 male and 30 female employees are matched based on the number of years of experience for equivalent work.
Which form of the t test should you choose for your analysis?
Did the assumption of matched participants affect your choice?
What conclusions can you draw from the results of this analysis?
Were the results of this analysis different from the one you did for part A? Why or why not?
Is random assignment always the best way to assign participants to groups? Why or why not?
Is this a true experiment? Why or why not?
Could the dataset used for this project be from an experiment? 
OR 
Could the dataset used for this project be from an ex post facto study?
Write a description of procedures that make this dataset appear to be from a true experiment. Then write a description of procedures that make this dataset appear to be from an ex post facto study. Data Set Below
Male,Female
29300,28800
31500,31600
30400,29800
28500,28500
33500,32600
27800,28000
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