Project #14744 - Distribution/Statistics

Data Set for Questions

 

Table 1:  Unemployment Claims for 2009

by Manufacturing Types

Food

70605

Beverage/Tobacco Products

7185

Textile Mills

18631

Textile Product Mills

4145

Apparel

12487

Leather and Allied Products

777

Wood Products

29690

Paper

13041

Printing and related support activities

15301

Petroleum and coal products

4703

Chemicals

12434

Plastics/Rubber

26172

Nonmetalic Mineral

28443

Primary Metal

54849

Fabricated Metal

57402

Machinery

107817

Computer/Electronic Products

60078

Electrical Equipment & Appliance

26427

Transportation Equipment

301252

Furniture and related products

30148

Miscellaneous Manufacturing

11913

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Table 2: Full-time workers:  Mean hourly earnings

 by major occupational groups.

 

 

 

 

Job Group

Civilian

Private industry

State/Local

 

 

 

 

All workers

 

 

 

 

 

 

 

Mgmt Professional

$35.02

$35.50

$33.61

 

 

 

 

Mgmt., Business, and Financial

$38.87

$39.48

$35.39

 

 

 

 

Professional et al.

$33.16

$33.14

$33.19

 

 

 

 

Service

$13.62

$11.69

$20.10

 

 

 

 

Sales

$17.59

$17.57

$17.75

 

 

 

 

Office & Admin. Support

$16.57

$16.38

$17.74

 

 

 

 

Natural Resources, Construction and Maintenance

$21.39

$21.42

$21.14

 

 

 

 

Production, Transportation and Material Moving

$16.48

$16.39

$21.68

 

 

 

 

 

  

Table 3:  Year Sales by Transactions for Davis Bath Products

 

2008

 

2009

Name

Sales

Transactions

 

Sales

Transactions

Mont Lickon

21945

1075

 

15511

713

Risca Cotta

11535

614

 

8627

370

Shidara Penn

143019

5945

 

18089

830

John Guth

176813

7212

 

71078

3129

Dan Deep

1482

54

 

1179

64

Nat Derson

140709

5634

 

28812

1299

Val Bell

271

15

 

460

52

Carey Rash

1731

55

 

1295

51

Lisa Holder

454

21

 

836

33

Connie Kevan

1544

74

 

1357

43

Tom Nather

54890

2312

 

36679

1540

Becky Beaster

1213

60

 

1220

48

Scott Rica

133742

5428

 

103355

4173

 

 

Questions..

 **please include all work and not just answers or will receive 0 points. Please note 8,9& 10 have been deleted.

 

EXAM 1

 

 

1.  Please identify the five number summary for the data below:

      116, 121, 157, 192, 207, 209, 209, 229, 232, 236, 236, 239, 243, 115, 120, 144, 200,             202, 264, 246, 267, 276, 317, 173, 312, 123, 324, 234, 307, 309, 312, 321, 122, 353

 

            Min:

           

            Q1:

 

            Q2:

 

            Q3:

 

            Max:

 

 

 

  1. In Table 1, what is the mean of the data?

 

 

3.  A sample of 5 joggers ran the following distances (in miles)  yesterday:  2, 6, 3, 4, and 5.

            a.  What is the range?

            b.  What is the mean?

            c.  What is the variance?

            d.  What is the standard deviation?


4.  The number of basketball games attended by 50 season ticket-holders were:

15, 10, 17, 11, 15, 12, 13, 16, 12, 14, 14, 16, 15, 18, 11, 16, 13, 17, 12, 16, 18, 15, 17, 15, 19, 13, 14, 17, 16, 15, 12, 11, 17, 16, 15, 10, 14, 15, 13, 16, 18, 15, 17, 11, 14, 17, 15, 14, 13, 16.

Finish the frequency distribution below.

 

Classes

F

RF

CRF

10

 

 

 

11

 

 

 

12

 

 

 

13

 

 

 

14

 

 

 

15

 

 

 

16

 

 

 

17

 

 

 

18

 

 

 

19

 

 

 

 

 

5.  The marketing department of the New Jersey Nets have asked for your assistance in deciding to sell a multi-game ticket package.  After completing your frequency distribution based on 50 season ticket-holders, what is the best package to create and sell to the public?

a.  13

b.  16

c.  18.

d.  15

e.  none of the above

 

 

6.  Calculate the standard deviation for the 50 season ticket-holders.

 

 

7.  42% of customers purchase how many tickets or less?

            a.  17

            b.  14

            c.  16

            d.  15

 

 

11.  Consider the following data for a sample of twenty students.  The numbers represent the number of hours worked per week by students who were employed.

 

     6   6   6   6   8   9   9   10   10   10   13   16   20   20   20   20   24   27   30   33

 

a.  Determine the mean, median, and mode.

 

 

12.   All Time Box Office Revenues Aggregated by Months

 

Rank

Month

Gross

Movies Tracked

1

February, 2009

769,343,640

161

2

February, 2010

754,693,066

173

3

February, 2008

695,270,466

193

4

February, 2004

666,141,251

201

5

February, 2007

639,647,238

176

6

February, 2003

631,460,961

207

7

February, 2005

629,957,988

185

8

February, 2006

625,426,175

193

9

February 2002

592,353,345

98

10

February, 2001

580,492,961

95

 

  1. Calculate the mean for the gross revenues.

 

 

 

  1. Calculate the mean for the Movies tracked.

 

 

 

  1. Calculate the standard deviation for the movies tracked.

 

 

13.  In Table 3, find the five number summary for 2008 Sales.

 

14.  In Table 3, find the mean for 2008 Transactions.

 

15.  In Table 3, find the standard deviation for 2009 Sales. 

 

16.  In Table 3, find the median for 2009 Transactions.

 

17.  In Table 3, find the mean per transaction sale for 2008.

 

18.  In Table 3, find the mean per transaction sale for 2009.

 

19.  What year performed better based on per transaction sales based on the 68% standard deviation?  Show all data points.

 

20.  From Table 2, which job group has a higher mean?  Which group has a higher median?

 

 

 

 

 

 

 

 

 

 

 

 

Subject Mathematics
Due By (Pacific Time) 10/19/2013 12:00 pm
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