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Owner: krispauld
Created: Jun 18, 2018
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Job Satisfaction Survey
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A.  My group and I designed a survey to learn about the job satisfaction of our friends and acquaintances. The population that we sampled is American adults.  We did not obtain a random sample for this survey.  Instead, we polled our Facebook friends and email contacts.  Therefore, we have a convenience sample with a voluntary response aspect, as not everyone we asked took the time to respond.

B. Questions asked:

1.    Are you satisfied with your current job?

Top of Form

1.    How many hours including overtime do you work per week?

Top of Form

1.    How many hours of personal or vacation time do you take off per year?

Bottom of Form

Top of Form

1.    In a typical week, how often do you feel stressed at work?  (Extremely often, Very often, Moderately often, Slightly often, Not at all often.)


The responses to the question "How often do you feel stressed at work?" are shown in the pie chart below.


This chart shows that most people are stressed at work more than not.  The percentage of those that are stressed is 70.91%, compared to 29.09% that are not or mildly stressed.

This bar chart represents stress level at work in correlation to job satisfaction.


When evaluating this bar graph, it is impressive to see that those who are not satisfied with their job as well as satisfied are equally stressed under the frequently stressed category.  When comparing those that are not satisfied with their jobs rate lower in the stress scale, which would mean that their job may not be challenging?!  The amount of replies stating that they were satisfied with their job demonstrated they were higher on the stress scale, which would indicate to me that they may be more invested in their job and want to perform at a higher level of excellence.


IV. Looking for a Relationship between Two Numerical Variables

1.    To determine whether or not there is a relationship between the responses to the questions " How many hours including overtime do you work per week?" and " How many hours of personal or vacation time do you take off per year?" we look at the scatter plot of the paired data.


Correlation between hours and time off is:

Since the absolute value of r is less than .196, we can conclude that there is statistically  no significant correlation between the number of hours worked per week and the number of hours a week of vacation for this sample.  However, the scatter plot reveals that the association between these variables is not a strong one.

Result 1: Pie Chart showing stress level at work   [Info]
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Result 2: Bar Plot With satisfaction vs. stress   [Info]
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Result 3: Histogram for hours worked   [Info]
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Result 4: Boxplot of hours worked   [Info]
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Result 5: Summary Stats for hours worked   [Info]
Summary statistics:
ColumnnMeanVarianceStd. dev.Std. err.MedianRangeMinMaxQ1Q3

Result 6: Scatter Plot   [Info]
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Data set 1. work survey table   [Info]
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HTML link:
<A href="">Job Satisfaction Survey</A>

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