KNIME_​project3

Part 2

Q1. The sample mean Monthly Income is $5,502.763.

Q2. The p-value equals 2.0254241948458276E-14, but this is basically equal to 0.

Q3.Since the p-value is less than 0.05, I would reject the null hypothesis.

Summary: There is strong statistical evidence that the average Monthly Income in the dataset does not equal $6,200. The results suggest it equals about $5,502.76.

Part 3

Q1. The sample mean equals 0.161

Q2. It is 1.8481131101743605E-5 which is essentially 0

Q3. I would reject the null hypothesis. There is statistically significant evidence that the attrition rate is greater than 12%, so the HR director does have reason to be worried.

Part 4

Q1. Research and Dev. had the most for yes. It was 100355.0

Q2. Chi-Square test statistic = 8,038.9 Degrees of freedom = 2 , Exact p-value = 0

Q3. I'd reject the null hypothesis. There is strong statistical evidence that department and attrition are related, which means the attrition rates are not the same across all departments.