A MARKETING STUDY OF 800 ADULTS IN THE 1834 AGE GROUP REPORT

A MARKETING STUDY OF 800 ADULTS IN THE 18-34 AGE GROUP REPORTED THE FOLLOWING INFORMATION:

-spent less than $100 on children\'s clothing per year: 75 responses

-spent $100 - $499.99 on children\'s clothing per year: 200 responses

-spent $500 - $999.99 on children\'s clothing per year: 25 responses

-spent nothing: the remainder

Develop a spreadsheet to estimate the sample mean and sample standard deviation of spending on children\'s clothing for this age group using measuring skewness and computing statistical measures from frequency distributions.

Solution

AMOUNT

Mid X

FREQUENCY F

F*X

F*X*X

0

0

500

0

0

0 -100

50

75

3750

187500

100-499.99

300

200

60000

18000000

500-999.99

750

25

18750

14062500

Total

800

82500

32250000

Mean =82500/800=103.125

Variance = =29714.88

SD=sqrt(var) =172.38

The data are skewed. Median is the best central tendency , in this case median

= average of 400,401 th observation =0

mode =0

range =(0, 999.99)

AMOUNT

Mid X

FREQUENCY F

F*X

F*X*X

0

0

500

0

0

0 -100

50

75

3750

187500

100-499.99

300

200

60000

18000000

500-999.99

750

25

18750

14062500

Total

800

82500

32250000

A MARKETING STUDY OF 800 ADULTS IN THE 18-34 AGE GROUP REPORTED THE FOLLOWING INFORMATION: -spent less than $100 on children\'s clothing per year: 75 responses
A MARKETING STUDY OF 800 ADULTS IN THE 18-34 AGE GROUP REPORTED THE FOLLOWING INFORMATION: -spent less than $100 on children\'s clothing per year: 75 responses

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