PLEASE SEE BELOW TABLE ( THE TABLE CANNOT BE ENTERED BUT THE NUMBERS ARE THERE, STARTING FROM POPULATION (N) )

Population (N)

Mean (95% CI)

Median

Mode

Standard Deviation

Managers (21)

60.52 (4.23)

60

70

9.28

Employees (29)

52.79 (5.90)

57

68

15.52

Writea in depth and clear concise response to all the following, please be original in your answer because I have already seen the examples provided by other tutors here on course hero and their responses I did not like, thanks in advance, see below:

What does the mean, median, mode, and standard deviation tell us about the managers and employees? Include answers to the following questions in your explanation of each:

• What do they mean in our data?
• What additional questions does it make you ask about the data?

Population

Mean

Median

Mode

Standard Deviation

Managers

Employees

I received the below help but its pretty vague, can a tutor please elaborate on the following response?

Population size of managers is 21. Population. Size of employees is 29. Mean Is the average number . Median is the middle most observation. Mode is the observation with highest frequency. Mode of managers is 70. This means 70 is the highest frequency among managers. It occurred maximum number of times. Mode of employees is 68. This occurred maximum number of times here.

The Explanation below that i need a little more insight on:

Answer:-

Population size of managers is 21. Population. Size of employees is 29. Mean Is the average number . Median is the middle most observation. Mode is the observation with highest frequency. Mode of managers is 70. This means 70 is the highest frequency among managers. It occurred maximum number of times. Mode of employees is 68. This occurred maximum number of times here.

For employees data, mode is greater than median and mean. This means this is a negatively skewed distribution. When mean is greater than median and mode then it is a positive skewed distribution. Variance tells us about how disperse the data is. If the variance is less, the model is more preferred than the one with high variance.