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Results:

The boxplot of the Payment co

esponding to the JOB type is given below

Figure 1: Side by Side boxplot of Jobtype vs Pay

The descriptive statistics is

Statistics

Variable JOBTYPE N N* Mean

SE

Mean StDev Minimum Q1 Median Q3 Maximum

PAY CLERICAL XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX

MANAGERIAL XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX

SUPERVISORY XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX

TECHNICAL XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX

Table 1 : Descriptive statistics of Jobtype vs Pay

The boxplot of the Payment co

esponding to Education is given below

Figure 2: Side by Side boxplot of Education vs Pay

The descriptive statistic is given below

Statistics

Variable EDUC N N* Mean

SE

Mean StDev Minimum Q1 Median Q3 Maximum

PAY BAMA XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX

COLLEGE XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX

HSDIP XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX

Table 2 : Descriptive statistics of Education vs Pay

The boxplot of the payment co

espomdimg to locations is given below

Figure 3: Side by Side boxplot of Location vs Pay

The descriptive statistics is given by

Statistics

Variable LOCATION N N* Mean

SE

Mean StDev Minimum Q1 Median Q3 Maximum

PAY Loc_A XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX

Loc_B XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX

Loc_C XXXXXXXXXX XXXXXXXXXX XXXXXXXXXX

Table 3 : Descriptive statistics of Location vs Pay

For 4th)

Rows: Row Variables Columns: Worksheet columns

BAMA College HSDIP All

CLERICAL XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX5755

MANAGERIAL XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX8387

SUPERVISORY XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX6564

TECHNICAL XXXXXXXXXX

XXXXXXXXXX580

XXXXXXXXXX0392

All XXXXXXXXXX

Cell Contents

Count

Expected count

Contribution to Chi-square

Table 4 : Table for the Expected count for JOB TYPE vs The level of Education

Table 5: The summary statistics for Chi square for the JOB TYPE vs The level of

Education

Rows: Row Columns: Worksheet columns

LOC_A LOC_B LOC_C All

CLERICAL XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX1801

MANAGERIAL XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX0165

SUPERVISORY XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX1585

TECHNICAL XXXXXXXXXX

XXXXXXXXXX653

XXXXXXXXXX9612

All XXXXXXXXXX

Cell Contents

Count

Expected count

Contribution to Chi-square

Table 6 : Table for the Expected count for JOB TYPE vs LOCATION

Chi-Square Test

Chi-Square DF P-Value

Pearson XXXXXXXXXX

Likelihood Ratio XXXXXXXXXX

1 cell(s) with expected counts less than 5.

Table 7: The summary statistics for Chi square for the JOB TYPE vs LOCATION

Rows: Row Columns: Worksheet columns

LOC_A LOC_B LOC_C All

BAMA XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX3790

COLLEGE XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX0038

HSDIP XXXXXXXXXX

XXXXXXXXXX

XXXXXXXXXX7791

All XXXXXXXXXX

Cell Contents

Count

Expected count

Contribution to Chi-square

Table 8: Table for the Expected count for EDUCATION vs LOCATION

Chi-Square Test

Chi-Square DF P-Value

Pearson XXXXXXXXXX

Likelihood Ratio XXXXXXXXXX

Table 9: The summary statistics for Chi square for the EDUCATION vs LOCATION

Discussion:

The side by side boxplot of the Payment co

esponding to Job type in Figure 1 shows that the

payment is higher for the Supervisory Jobtype and lower for the Technical Job type . Hence

the level of satisfaction is higher in the Supervisory Job type as compare to the Technical Job

type. It is confirmed by the descriptive statistics in Table 1. The side by side boxplot of the

Payment co

esponding to Education in Figure 2 shows that the payment is higher for the

BAMA Education and lower for the HISDIP Education . Hence the level of satisfaction is

higher in the BAMA Eduaction type as compare to the Other Eduaction Type and is

confirmend by the Table 2. Also, The side by side boxplot of the Payment co

esponding to

Location shows that the payment is higher on the Location B and lower for the Location C as

shown in Figure 3. Hence the level of satisfaction is higher on Location B as comapre to other

location which is confirmed by the Table 3.

For Table 4, The null and alternative hypothesis are

Ho: The type of employe’s job and level of employee’s attained eductaion are indepndent of

each other.

Ha: The type of employe’s job and level of employee’s attained eductaion are depndent on

each other.

From the table 5 the result of chi square , The value of chi square is XXXXXXXXXXand p value is

0.022 which is less than 0.05 so we will reject the null hypothesis and conclude that the type

of employe’s job and level of employee’s attained eductaion are not indepndent of each other.

For Table 6, The null and alternative hypothesis are

Ho: The type of employe’s job and employee’s work location are indepndent of each other.

Ha: The type of employe’s job and employee’s work location are depndent on each other.

From the table 7 the result of chi square , The value of chi square is XXXXXXXXXXand p value is

0.012 which is less than 0.05 so we will reject the null hypothesis and conclude that The type

of employe’s job and level of employee’s work location are not indepndent of each other.

For Table 8, The null and alternative hypothesis are

Ho: The type of employe’s level of eduaction and employee’s work location are indepndent of

each other.

Ha: The type of employe’s level of eduaction and employee’s work location are depndent on

each other.

From the table 9 the result of chi square , The value of chi square is 7.902 and p value is 0.095

which is greater than 0.05 so we will not reject the null hypothesis and conclude that The type

of employe’s level of eduaction and employee’s work location are indepndent of each other.

Conclusion : From the above results and discussion , we will conclude that the type of

employe’s level of eduaction and employee’s work location are indepndent of each other while

the type of employe’s job and employee’s work location are depndent on each other and also

the type of employe’s job and level of employee’s attained eductaion are depndent on each

other. The payment is higher for the Supervisory Jobtype and lower for the Technical Job type

hence the employess will prefer the Supervisory post for their level of satisfaction regarding

the money. On the same hand the payment is higher on the Location B and lower for the

Location C hence they will prefer to do job on location B as compared to location B and C.

COMM 215: Business Statistics

Section EC

Winter 2022

_____________________________________________________________________________________

Data Analysis Project (8%)

Topic: Employee Satisfaction at NASEE Inc.

Data file: DAP_EmployeeSatisfaction.xlsx

Report uploading Deadline: April 9, 2022, before 24:00

_____________________________________________________________________________________

Description

Nasee Inc. runs stores with operations in several major locations. Recently, there have been several instances of work

slowdown and walk out by protesting employees unhappy with management’s response to their demands. Concerned about

the issues and the cu

ent degree of employee satisfaction, management has initiated a study based on a sample of its

employees from the three major work locations: Loc_A, Loc_B, and Loc_C. As part of this study, employees in the sample

were asked to indicate their degree of satisfaction in their work (WORK), their pay (PAY), and their opportunities for

promotions (PROMO). Each of the three aspects of job satisfaction was measured on a scale from 0 to 100, with larger

values indicating higher degrees of satisfaction. The data collected also show the following characteristics of employees:

employee ID; job type (JOBTYPE: Managerial, Supervisory, Clerical and Technical), level of attained education (EDUC:

HSDIP=High School Diploma, COLLEGE level, BAMA=Bachelors or Master’s Degree).

The goal of the study is to identify factors that influence employee satisfaction and to develop an appropriate model to

explain the issues.

For recent studies on ‘Employee Job Satisfaction and Engagement’, you may refer to the link below and some of the

eferences cited in this report.

https:

www.shrm.org/hr-today/trends-and-forecasting

esearch-and-surveys/Documents/2016-Employee-Job-Satisfaction-and-Engagement

Report.pdf

Managerial Report

Use appropriate (applicable) methods of descriptive statistics, including tables and plots, to summarize the data (depending

on the data type - quantitative continuous or discrete

Answered Same DayApr 09, 2022

Answer 5)

· 95% confidence for job satisfaction with respect to work ranges from 70.30 to 73.17 with mean of 71.74

· 95% confidence for job satisfaction with respect to pay range from 59.26 to 65.70 with mean of 62.48

· 95% confidence for job satisfaction with respect to promotion range from 65.11 to 69.65 with mean of 67.38

· Least job satisfaction is observed with respect to pay

· Highest job satisfaction is observed with respect to work

95% confidence for job satisfaction with respect to work for each location:

· Employees in location A have higher job satisfaction with respect to work as compared to location B and C

· More number of employees were surveyed in location A (44) as compared to location B and C

· Employees in location B and C have similar job satisfaction with respect to work

95% confidence for job satisfaction with respect to pay for each location:

· Employees in location A has higher job satisfaction with respect to pay as compared to location B and C

· Employees in location C are slightly more satisfied as compared to location B with respect to location B...

· 95% confidence for job satisfaction with respect to work ranges from 70.30 to 73.17 with mean of 71.74

· 95% confidence for job satisfaction with respect to pay range from 59.26 to 65.70 with mean of 62.48

· 95% confidence for job satisfaction with respect to promotion range from 65.11 to 69.65 with mean of 67.38

· Least job satisfaction is observed with respect to pay

· Highest job satisfaction is observed with respect to work

95% confidence for job satisfaction with respect to work for each location:

· Employees in location A have higher job satisfaction with respect to work as compared to location B and C

· More number of employees were surveyed in location A (44) as compared to location B and C

· Employees in location B and C have similar job satisfaction with respect to work

95% confidence for job satisfaction with respect to pay for each location:

· Employees in location A has higher job satisfaction with respect to pay as compared to location B and C

· Employees in location C are slightly more satisfied as compared to location B with respect to location B...

SOLUTION.PDF## Answer To This Question Is Available To Download

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