Examine the correlation output provided by the a survey. Need a paper 3-5 pages. HELP!!!
Ethrower86
data_to_be_analyzed_.docxMAN 6316: HRM Metrics
Individual Analysis Project: Fall 2014
Individual Analysis Project: Part 1 Worksheet
Name: _______________________ Panther ID: ____________________
Instructions: Please use this worksheet to complete Step 1 of the Individual Analysis Project (the project instructions and dataset are provided on Blackboard. This worksheet is due by 11:59pm on November 1st. Please submit using the link provided on Blackboard.
1. Descriptive Statistics:
|
|
Mean |
Median |
Mode |
Standard Deviation |
|
Gender |
0.48
|
0.0
|
0.0
|
0.500714
|
|
Age |
42.02004 |
42 |
42 |
7.348758 |
|
Customer Service Performance |
3.488888889 |
3 |
3 |
0.744690 |
|
Intent to Stay |
3.12 |
3 |
3 |
0.875663 |
|
Conscientiousness |
4.008888889 |
4 |
4 |
0.790519 |
|
Pay Satisfaction |
1.653333333 |
2 |
2 |
0.615862 |
2. How many individuals completed the survey?
225 Employees
3. The company as a whole (all 30 locations) is 23% female. How does the gender composition of the sample (the 225 individuals in the dataset) compare to the gender composition of the company?
There were 25% more females surveyed when compared to the population of the company.
4. The company as a whole (all 30 locations) has an average age of 38 years old. How does the age composition of the sample compare to the age composition of the company?
The average age of those surveyed was about 4 years older when compared to the population of the company.
5. Why is it important to consider how the age and gender composition of the sample compares to the age and gender composition of the company as a whole?
The surveying population is not an accurate representation of the company as the age and gender composition differ from the company as a whole.
