Hypothesis:

Hypothesis 1: Men were paid higher than women in 2019

Hypothesis 2: Men were paid higher than women in 2020

Hypothesis 3: There is a statistical difference between how men's salaries grew relative to women's in 2019

Hypothesis 4: There is a statistical difference between how men's salaries grew relative to women's in 2020

Questions:

• What are the insights you can glean from your results?
• What actions would you recommend to leadership/stakeholders?
• What is the best way to communicate your results to leadership/stakeholders to ensure recommended actions are implemented?
• What next steps would you recommend to leadership/stakeholders?
• Using the results from your analysis, was your hypothesis supported?

Data:

1. Independent t test to compare male and female salary in 2019

Two Sample t-test t df p-value Confidence interval, 95% 1 . 2494 347 0 . 2124 [-790.372, 3543.2378] Group Size Mean Standard deviation Group 1 223 57902. 2887 9658 .5797 Group 126 56525 . 8559 2 10274. 9897Two Sample t-test Confidence interval, 95% 2.5261 347 0.01198 [607.8068, 4882.8605] Group Size Mean Standard deviation Group 1 223 60383.5732 9761.1072 Group 126 58138.2395 9734.392 Paired t-test t df p-value Confidence interval, 95% 12 . 8844 125 1 . 083e-24 [1364. 7122, 1860.0551] Group Size Mean Standard deviation Group 1 126 58138. 2395 9734 . 392 Group 126 56525 . 8559 10274 .9897 2Paired t-test t df p-value Confidence interval, 95% 37 . 1979 222 2. 384e-97 [2823. 3388, 3139.2301] Group Size Mean Standard deviation Group 1 223 60883.5732 9761 . 1072 Group 223 57902 . 2887 2 9658.5797