# Analysis of Data - Part 1

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This document provides a summary of the analysis of data - Part 1. It includes a summary of a categorical variable and a metric variable, along with relevant graphs and tables. The key features and insights from the data output are explained in detail. The analysis focuses on variables related to work enjoyment, job engagement, and agency engagement. The data is based on a survey conducted with 1500 respondents. The document also highlights the importance of employee engagement and its impact on work performance and productivity.

## Analysis of Data - Part 1

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Running head: 2 - ANALYSIS OF DATA – PART 1 1
2: Analysis of data – Part 1
2 - ANALYSIS OF DATA – PART 1 2
2: Analysis of data – Part 1
Question 1 – Summary of a categorical variable
The variable ‘WorkEnjoyment’ indicates the extent to which each employee agrees
with the statement 'I enjoy my work'.
Produce the relevant graph and table to summarise the ‘WorkEnjoyment’ variable
and write a paragraph explaining the key features of the data observed in the output
in the style presented in the course materials. Negatively skewed
83.2 % of people either agreed or strongly agreed they enjoyed their work
The data has shown that the majority of people (mean 4.02, mode 4) agreed
that they enjoyed their work.
In the survey of work environment has been conducted to analyze the number of
people loving their work. The question about ' I enjoy my work' was asked from 1500
respondents to know how many employees are satisfied with their work. It directly influence
the work environment and productivity of the organization as whole. The outcomes of the
analysis has been derived using the statistical analysis. It shows that the mean value is 4.02 of
the given data set of people is 4.02 and the standard deviation is 0.22 which shows that the
result shows very low variation from the mean value (Plonsky and Ghanbar, 2018). Mode is
4 which means that number of people who agree with the statement are more frequent as
compared with other. Variance is 0.732 for the given values and skewness is -1.216 and error
is 0.63 in skewness which means the symmetric measure is negative. On the other kurtosis is
2.106 which shows the data is heavy tailed relative to the normal distribution.
Question 1 – Summary of a categorical variable – SPSS Output
Output would go here.
Statistics
I enjoy my work ...
N Valid 1500
2 - ANALYSIS OF DATA – PART 1 3
Missing 0
Mean 4.02
Std. Error of Mean .022
Median 4.00
Mode 4
Std. Deviation .856
Variance .732
Skewness -1.216
Std. Error of Skewness .063
Kurtosis 2.106
Std. Error of Kurtosis .126
Range 4
Minimum 1
Maximum 5
Sum 6030
Percentiles 25 4.00
50 4.00
75 5.00
I enjoy my work ...
Frequency Percent Valid Percent
Cumulative
Percent
Valid Strongly disagree 29 1.9 1.9 1.9
Disagree 68 4.5 4.5 6.5
Neither agree nor disagree 156 10.4 10.4 16.9
Agree 838 55.9 55.9 72.7
Strongly Agree 409 27.3 27.3 100.0
Total 1500 100.0 100.0
2 - ANALYSIS OF DATA – PART 1 4
The above data regarding the survey shows that number of people that strongly disagree with
the statement are 1.9%. respondents that disagree with the statement are quite higher which
are 4.5%. while the number of people who neither agreed nor disagreed with the statement
are 10.4%. It shows that around 156 people are not clear about whether they are enjoying or
not. They are neutral are not much influenced by the type of work they are doing. People who
agreed that they enjoy their work are 55.5% which is highest as compared with other (Agler
and De Boeck, 2017). Around 838 respondents are clear that they are enjoying their work.
While 27.3% believe that they strongly agree that they love their work. It could be evaluated
that number of people enjoying their work is higher and they are more productive and
efficient. Measures could be taken for the remaining to provide them with work they enjoy
doing as it will increase their efficiency and productivity as well. Hence, there is flexible and
positive culture by which staff is able to work in effective way. Also, they take breaks
between work and perform task in efficient way.

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