STATISTICS PROJECT

Fashion designers:

 Introduction:

             This paper analysis the income levels of employees in the fashion designers industry, this industry according to the bureau of labour in the United States it is estimated that this industry employs over 20,000 individuals according to the year 2006 statistics. This industry mainly focuses on dress making, clothing, shoes of different styles and making.

            Data on the income levels of employees in the fashion industry was retrieved from the bureau of statistics in the US which is available at www.bls.gov.

 The data:

             Data was retrieved from http://www.bls.gov/oes/current/oes271022.htm, the data contains employment levels in these states, hourly wage rate and the mean annual income in terms of wage, the data below shows the data: 

Area name

Employment

Hourly mean wage

Annual mean wage(2)

Los Angeles-Long Beach-Glendale, CA Metropolitan Division

2500

34.34

71430

Los Angeles-Long Beach-Santa Ana, CA

2920

33.66

70010

Riverside-San Bernardino-Ontario, CA

30

27.19

56560

San Francisco-Oakland-Fremont, CA

240

36.25

75400

San Francisco-San Mateo-Redwood City, CA Metropolitan Division

150

33.8

70310

Santa Ana-Anaheim-Irvine, CA Metropolitan Division

410

29.49

61350

Washington-Arlington-Alexandria, DC-VA-MD-WV

30

27.07

56300

Boston-Cambridge-Quincy, MA-NH

680

29.8

61990

Boston-Cambridge-Quincy, MA NECTA Division

450

29.61

61600

Brockton-Bridgewater-Easton, MA NECTA Division

60

27.33

56850

Providence-Fall River-Warwick, RI-MA

50

24.5

50970

Minneapolis-St. Paul-Bloomington, MN-WI

90

27.64

57490

Allentown-Bethlehem-Easton, PA-NJ

30

30.87

64200

Edison, NJ Metropolitan Division

50

31.12

64720

New York-White Plains-Wayne, NY-NJ Metropolitan Division

6920

37.7

78410

Nassau-Suffolk, NY Metropolitan Division

380

37.28

77540

New York-Northern New Jersey-Long Island, NY-NJ-PA

7390

37.71

78450

New York-White Plains-Wayne, NY-NJ Metropolitan Division

6920

37.7

78410

Portland-Vancouver-Beaverton, OR-WA

200

32.01

66590

Allentown-Bethlehem-Easton, PA-NJ

30

30.87

64200

Philadelphia, PA Metropolitan Division

120

25.47

52970

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD

270

31

64480

Reading, PA

270

20.22

42050

Dallas-Plano-Irving, TX Metropolitan Division

550

37.22

77420

Fort Worth-Arlington, TX Metropolitan Division

40

14.42

29980

Portland-Vancouver-Beaverton, OR-WA

200

32.01

66590

Seattle-Bellevue-Everett, WA Metropolitan Division

160

27.03

56210

Seattle-Tacoma-Bellevue, WA

160

27.03

56210

Minneapolis-St. Paul-Bloomington, MN-WI

90

27.64

57490

Bridgeport-Stamford-Norwalk, CT

110

25.68

53410

 Mean, standard deviation and median:

             When we use ungrouped data to analyse the mean and the median of the data our results are as follows:

total

31500

903.66

1879590

mean

1050

30.122

62653

standard deviation

2147.812038

5.384997295

11203.3099

MIN

30

14.42

29980

MAX

7390

37.71

78450

RANGE

7360

23.29

48470

            The mean hourly wage is 30.12 dollars, the range is 23.29 and our standard deviation is equal to 5.38, these are measures of central tendencies of data, the mean gives us an estimate of the hourly wage rate in the fashion industry and the standard deviation give us the measure of deviations from the mean of the different wages paid by different states.

 Grouped data:

             When we group the data into 6 classes and considering the class interval to be two then we will be in a position to obtain our frequency and therefore construct a histogram, after grouping our data the results are as follows:

class

frequency

cummulative frequency

percentage

10.50 TO 15.50

1

1

3%

15.51 TO 20.50

2

3

7%

20.51 TO 25.50

4

7

13%

25.51 TO 30.50

8

15

27%

30.51 TO 35.50

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