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In recent times it has been suggested that university graduates can be divided i

ID: 3339575 • Letter: I

Question

In recent times it has been suggested that university graduates can be divided into two groups, those who graduated from a business degree and those who did not. Suppose you are working for the Government and have been asked to determine whether this is the case. Of particular importance is the income of a graduate in their first year of employment. It is believed that higher incomes are more likely to be experienced by students who are not business graduates. Below is a statistical summary of a sample of incomes of non-business and business graduates (measured in $000s)

Excel Descriptive Statistics Table

Statistic

Non-Business

Business

Mean

81

69

Standard Error

1

3

Median

82

60

Mode

82

59

Standard Deviation

5

15

Sample Variance

29

236

Kurtosis

-1

-1

Skewness

0

0

Range

17

54

Minimum

72

31

Maximum

89

85

Sum

2420

1771

Count

30

30

1st Quartile

76

51

3rd Quartile

84

71

a. Discuss the distributions of Business Graduates in contrast to Non-Business Graduates.

b. It is suggested that the results may be influenced by extreme values. Using the appropriate measure of central tendency (location) which group typically earns higher incomes?

Excel Descriptive Statistics Table

Statistic

Non-Business

Business

Mean

81

69

Standard Error

1

3

Median

82

60

Mode

82

59

Standard Deviation

5

15

Sample Variance

29

236

Kurtosis

-1

-1

Skewness

0

0

Range

17

54

Minimum

72

31

Maximum

89

85

Sum

2420

1771

Count

30

30

1st Quartile

76

51

3rd Quartile

84

71

Explanation / Answer

Solution - (a) Data for business graduates is likely to be more spread in comparison to that of non-business graduates. Comparing variance or standard error we deduce that incomes of business graduates are more variable. Both distributions have symmetrical probability density function with non business graduates having having higher mean value.

(b) Non business graduates typically earn higher due to having higher mean values, higher median and lower standard deviation.

TY!

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