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Created: Jun 19, 2018
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M3A2 Project Part 3 - Descriptive Report Outline
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I. Introduction


The goal of our survey was to determine overall Job Satisfaction based on Hours Worked, Time Off, and Stress.  The Sample population consisted of respondents to the survey from social media sites Twitter and Face Book.  The sample was made up of respondents who were working adults aged 18-65.  The sample cannot be considered random as the population surveyed was conducted through social media and therefore is more of a convenience sample with voluntary responses. 


Survey Questions

1) Are you satisfied with your current job?  Choose One.  Yes / No


2) How many hours including overtime do you work per week? ____hours


3) How many hours of personal or vacation time do you take off per year? _____Hours


4) In a typical week, how often do you feel stressed at work?  Choose One.




II. Looking at a Categorical Variable




In a typical week, how often do you feel stressed at work (

Result 1: Pie Chart Categorical Data 2 Stress   [Info]
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More than half of those surveyed were moderately to extremely often experience stress at work. 


In order to see if the C2 responses differ according to C1, display the bar plot



Result 2: Bar Plot C1 Stress grouped by C2 Satisfaction   [Info]
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Surprisingly despite respondents answering that they are very often and moderately often stressed also showed that they were satisfied with their current job which is unexpected.




III. Looking at a Numerical Variable


How many hours including overtime do you work per week? ____hours


Display the histogram (

Result 3: Histogram N1 Hours Worked   [Info]
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), box plot (

Result 4: Boxplot N1 Hours Worked   [Info]
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), and summary statistics (

Result 5: Summary Stats N1 Hours Worked   [Info]
Summary statistics:
ColumnnMeanVarianceStd. dev.RangeMedianMinMaxQ1Q3IQR
Hours Worked12430.883065339.9597918.4379998137.75081104333



The histogram shows a measure of center around 40hrs, an average work week for most.  The Histogram shows skewing to the left.  There are outliers in data with respondents that work more and less than the standard 40hr work week.   The IQR is 33.  The mean is 30.883 and the median is 37.75.   The median is greater than the mean showing a positive skew.


Range = 81


Divided by 4 = 20.25


This is a difference of 1.182 which makes it a fairly close approximation of the standard deviation.






Identify any outliers in your data set—there are outliers observed and it is possible that one would have a lot of vacation time saved up or no hours if they only work part time or are in a non-benefited position. 


IV. Looking for a Relationship between Two Numerical Variables


Display the scatter plot (

Result 6: Scatter Plot N1 Hours Worked vs. N2 Time Off   [Info]
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) for N1 and N2.  Discuss the direction, form, Scatter


Display the correlation coefficient (

Result 7: Correlation of Paired Data N1 Hours Worked vs. N2 Time Off   [Info]
Correlation between Hours Worked and Time Off is:

).   No, this is not statistically significant.





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