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The data set contains 25 units of data, there are 9 variables and they include variables include gender, department, job satisfaction, position, tenure and benefits.

The following is an analysis of the data set with reference to these variables and a discussion of major findings:

Gender:

76% of the sample was male while 24% were female, according to Murphy (1995) the percentage frequency can be sued to interpret the probability of outcomes, therefore the above results mean that the probability of choosing a male from the sample is 76%.

The table below summarizes the results:

MALE

76%

FEMALE

24%

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Tenure:

With reference to tenure with company 28%, 24% and 24% of the sample were male and their tenure with the company was less than less than 2 years, 2 to 5 years and over five years respectively. This means that more male tenure with the company was less than 2 years. On the other hand 8%, 4% and 12% of the sample were female and tenure with the company was less than less than 2 years, 2 to 5 years and over five years respectively. This means that more female participant’s tenure with the company was over 5 years.

The table below summarizes the results:

TENURE

Less than 2 years

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2 to 5 years

Over 5 Years

MALE

28%

24%

24%

76%

FEMALE

8%

4%

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12%

24%

36%

28%

36%

100%

Departments:

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The three departments included the human resource department, administration and information technology, majority of the participants (40%) worked in the human resource department, 36% in the administration department and 24% in the information technology department, therefore the probability of selecting a participant who works in the human resource department is 40%.

%

Human Resources

40%

Information Technology

24%

Administration

36%

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Extrinsic:

The extrinsic mean was 4.736, however Male participants had a higher extrinsic mean of 4.81 while female participants had an intrinsic mean of 4.48, this shows that male have higher intrinsic value than female participants, the table below shows the results:

Extrinsic(mean)

MALE

4.815789474

FEMALE

4.483333333

Age:

The age variable indicated that majority (44%) were aged 50 to 65 years, 28% were aged 22 to 49 and another 285 were aged 16 to 21 years, this indicates that more participants were aged 50 to 65 and that the probability of selecting an individual aged between 16 to 21 years is 28%.

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the table below shows the results:

age

%

16-21

28%

22-49

28%

50-65

44%

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Overall:

The overall mean was 5.172, male had a higher overall mean than female participants, and further analysis showed that 40% individual overall mean was less than 5.2 and 60% had an overall mean value greater than 5.2. This means that the probability of selecting an individual whose overall satisfaction level if below 5.2 is 40%.

Gender and departments:

Further analysis on the number of participants in each department showed that 32% male were in the human resource department, 16% in the IT department and 28% in the administration department, there were 2 (8% of total participants)female participants in each department. This shows that the probability of selecting a female participant in the human resource department is 8%; the table below summarizes the results:

Human Resources

Information Technology

Administration

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MALE

32%

16%

28%

FEMALE

8%

8%

8%

Position:

56% of the participants were hourly employees while 44% were salaried employees, hourly employees had higher intrinsic mean value than salaried employees, and those participants with intrinsic value greater than 5 were 44% while the rest 56% had intrinsic value less than 5. The probability that a participant will be salaried and have an intrinsic value 5 or more 16%, the table below summarizes the results:

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intrinsic value 5 or more

intrinsic value less than 5

Hourly Employee (Overtime Eligible)

28%

28%

Salaried Employee (No Overtime)

16%

28%

According to Mendenhall (1993) sample results can be used to make inferences about the population, from the above analysis it is evident that there are more male than female workers, also that hourly workers have higher satisfaction values than salaried employees. Another

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finding is that majority of participants are in the human resource department and that there are two participants who are female in each department. On overall men value there are more individuals (60%) with overall value greater than 5.2 but male participants have greater satisfaction than female participants as indicated by the extrinsic mean values.

References:

Franklin Murphy (1995) Statistics: a fresh approach, New York: Wiley and sons press

William Mendenhall (1993) Statistics: a tool for the social sciences, New York: Penguin press

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