Quantitative Methods of Analysis-Unit2IP-Probability and Distributions

Quantitative Methods of Analysis-Unit2IP-Probability and Distributions

Introduction

This paper examines survey data conducted on the population of the American Intellectual Union (AIU). The data concerns job satisfaction and contains several variables, two of which will be examined.

Chosen Variables

The qualitative variable being analyzed in this study is gender. Given the importance of gender diversity in promoting equality, efficiency and economic growth, gender diversity is a very important topic in any discussion of job performance (Seguino, 2000). This is a binary variable, and we have coded this variable as 1 represents male and 2 represents female respondent. The quantitative variable being analyzed is extrinsic job satisfaction, meaning the level of satisfaction with characteristics external to performing the actual job, such as office location, co-workers, etc. This is measured on a scale of 1 to 7, where 1 indicating the lowest satisfaction and 7 indicating the highest satisfaction.

Data Analysis

Gender

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Male

29

72.5

72.5

72.5

Female

11

27.5

27.5

100.0

Total

40

100.0

100.0

The above table and pie chart presents the gender distribution of the respondents recruited from the American Intellectual Union (AIU). It can be observed that 72.5 percent male respondents and 27.5 female respondents took part in this survey. So it can be said that most of the respondents who took part in this survey are male.

Age Group

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

16 - 21

12

30.0

30.0

30.0

22 - 49

20

50.0

50.0

80.0

50 - 65

8

20.0

20.0

100.0

Total

40

100.0

100.0

The above table and pie chart presents the age group distribution of the respondents recruited from the American Intellectual Union (AIU). It can be observed that 50 percent of the respondents belong to 22-49 years age group, whereas 30 percent of the respondents belong to 16-21 years age group. There were 20 percent of the respondents are from the age group 50-65 years. So, it can be said that most of the respondents are from age group 22-49 years.

The above table and bar chart presents the department of respondents recruited from the American Intellectual Union (AIU). 42.5 percent of the respondents are from Administration department. 35 percent of the respondents are from Information technology and 22.5 percent of the respondents are from the Human resource department. Most of the respondents were recruited from the Administration department of AIU.

The above table and bar chart represents the Position of the respondents who took part in this survey. There were 60 percent of the respondents who work as Hourly Employee (Overtime Eligible). There were 40 percent of the respondents who work as Salaried Employee (No Overtime). So it ...