<p><em>Q2.1: What is the sample mean of the Monthly Income for our cleaned dataset? -697.237</em></p><p><em>Q2.2: What is the p-value for this two-tail test? 0</em></p><p><em>Q2.3: Based on a significance level of 0.05 and the p-value rule from Chapter 8, do you reject or fail to reject the null hypothesis? Write a one-sentence conclusion for the CEO.</em></p><p><em>There is strong evidence that the average monthly income differs from the $6,200 national average.</em></p><p></p><p><em>Q3.1: What is the sample proportion of attrition (the Mean of Attrition Numeric)? .051</em></p><p><em>Q3.2: What is the calculated one-tail p-value? I know 0 isnt right but it was what i came up with no matter what numbers i changed</em></p><p><em>Q3.3: Based on a significance level of 0.05, do you reject or fail to reject the null hypothesis? Is there statistical evidence for the HR director to be worried?</em></p><p><em>the salaries have shown to be several hundred dollars under the stated average of $6200. this could be a factor in the overall attrition of the company.</em></p><p></p><p><em>Q4.1: Looking at the Crosstab view, which department had the highest raw count of “Yes” for Attrition? R&D</em></p><p><em>Q4.2: Look at the Statistics output. What is the Chi-Square test statistic, the degrees of freedom (df), and the exact p-value? 9.844? DF 2, .0008</em></p><p><em>Q4.3: Using a 0.05 significance level, do you reject or fail to reject the null hypothesis? What does this mean in plain English regarding Departments and Attrition?</em></p><p>reject null. </p><p>there is statistical evidence that the attrition rate depends upon the department. </p>
Q2.1: What is the sample mean of the Monthly Income for our cleaned dataset? -697.237
Q2.2: What is the p-value for this two-tail test? 0
Q2.3: Based on a significance level of 0.05 and the p-value rule from Chapter 8, do you reject or fail to reject the null hypothesis? Write a one-sentence conclusion for the CEO.
There is strong evidence that the average monthly income differs from the $6,200 national average.
Q3.1: What is the sample proportion of attrition (the Mean of Attrition Numeric)? .051
Q3.2: What is the calculated one-tail p-value? I know 0 isnt right but it was what i came up with no matter what numbers i changed
Q3.3: Based on a significance level of 0.05, do you reject or fail to reject the null hypothesis? Is there statistical evidence for the HR director to be worried?
the salaries have shown to be several hundred dollars under the stated average of $6200. this could be a factor in the overall attrition of the company.
Q4.1: Looking at the Crosstab view, which department had the highest raw count of “Yes” for Attrition? R&D
Q4.2: Look at the Statistics output. What is the Chi-Square test statistic, the degrees of freedom (df), and the exact p-value? 9.844? DF 2, .0008
Q4.3: Using a 0.05 significance level, do you reject or fail to reject the null hypothesis? What does this mean in plain English regarding Departments and Attrition?
reject null.
there is statistical evidence that the attrition rate depends upon the department.
