The topic is Salary Wage difference between Men and Women The reference link: Barroso, A., & Brown, A. (2021, May 25). Gender pay gap in U. S. held steady in 2020. Pew Research Center. https://www. pewresearch. org/fact-tank/2021/05/25/gender-pay -gap-facts/

Review all of the variables carefully.
Decide on assumptions for your data. For example, when applicable, you can assume that the data is normally distributed and you can use parametric methods for analysis.
You may choose to do a one or two-sample test. For instance, you can combine all of the data and run as a one-sample test, or you can compare two samples (e. g. men versus women; younger versus older; those with diabetes versus those without diabetes, etc.). If doing a one sample test, look through recent articles on the Internet for someone else's claim about the population parameter that you will support or refute.
Formulate your informal hypothesis (i. e. what you think is true). For example: "Women get fewer hours of sleep on average than men." This is a two-sample hypothesis. Or "Individuals in this study get fewer hours of sleep on average than the general population." This would be a one-sample hypothesis. State why you think your hypothesis is true. Write your formal null and alternative hypothesis.
Calculate summary statistics for your data.
If your response variable is categorical, ordinal, or dichtomous, create a frequency distribution table for your sample(s) in Excel.
If your response variable is continuous, calculate sample mean, median, mode and standard deviation for your sample(s) in Excel.
Create a confidence interval for your sample(s).
Test your hypothesis.
Formulate a conclusion based on your results. State formally and informally.

Show all your calculations and back-up work in an Excel file. Make sure that the Excel file is organized, complete and clear.