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The New Statistical Analysis Of Data Add in library

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Question:

Discuss about The New Statistical Analysis of Data?

 

Answer:

We get a clear picture of the defined customer from the summary of the given result of MRI California Pizza. On grouping the data in groups and rejecting the data with , the highest indexed value has been selected from the group and the summary has been performed henceforth.

Women

 

122870

4589

3.7

63

122

Educ: graduated college plus

 

67714

3696

5.5

50.8

178

Age 25-34

 

41706

1798

4.3

24.7

140

Adults 25-54

 

125773

4898

3.9

67.3

127

Men 18-34

 

35868

1192

3.3

16.4

108

Women 25-54

 

63943

3117

4.9

42.8

159

Occupation: management, business and financial operations

 

22675

1198

5.3

16.5

172

HHI: $150,000+

 

26233

1996

7.6

27.4

248

Census Region: West

 

53905

3306

6.1

45.4

200

Mediamarkets: Top 5

 

49048

3017

6.2

41.4

200

County Size: A

 

97994

4673

4.8

64.2

155

Marital Status: Never Married

 

65394

2281

3.5

31.3

114

Child age: 12-17 years

 

46089

1669

3.6

22.9

118

Years At Present Address: 1-4 Years

 

64787

2251

3.5

30.9

113

Home: Owned

 

156236

4962

3.2

68.2

103

Home value: $500,000+

 

15352

1281

8.3

17.6

272

Race: Asian

 

6958

521

7.5

7.2

244

Spanish spoken in home (most often or other)

 

37649

1416

3.8

19.5

122

Magazines: II

 

47403

1907

4

26.2

131

Newspaper III

 

47406

1678

3.5

23.1

115

Radio III

 

47401

1711

3.6

23.5

118

TV (total) V (Light)

 

47424

2047

4.3

28.1

141

Internet II

 

47404

1940

4.1

26.6

133

Outdoor I (Heavy)

 

47348

1800

3.8

24.7

124

TV (Prime time) IV

 

47414

1688

3.6

23.2

116

TV (Day time) III (Light)

 

24940

765

3.1

10.5

100

HH subscribe to digital cable

 

95351

3088

3.2

42.4

105

Watched any pay-per-view/last 12 months

 

31468

1082

3.4

14.9

112

Watched any Video-on-Demand/last 12 months

 

58744

2609

4.4

35.8

145

Any cable viewing/last week

 

191554

6068

3.2

83.4

103

Magazines: Sunday Mag/Net Carrier Newspapers

 

12054

925

7.7

12.7

250

Radio: Weekend 7:00 pm - Midnight

 

39231

1517

3.9

20.8

126

TV Dayparts: Weekdays: 4:00 pm-7:30 pm

 

65336

1236

1.9

17

62

TV Show Types: News- Specials

 

16470

715

4.3

9.8

141

Web Sites: LivingSocial.com

 

8145

618

7.6

8.5

247


Summary: Information about the consumers of MRI California Pizza

It is seen that women prefer California Pizza over men. Adults of age-group 25-54 are more likely to consume Pizza. Men of age group 18-34 consume more of this product and female of age group 25-54 consumes more pizza. So it can be concluded that women are more likely to consume more pizza as the age group of women constitutes the maximum part of the age group of adults consuming pizza[1].

Consumers of this product are graduated college plus and they have an occupation of management, business and financial operations. Residing in the west region and belonging to a Spanish speaking household, these consumers have an average household income of $150,000+ and their Home value is $500,000+. They are Asians by race. These consumers prefer to play heavy outdoor games and they watch TV (total) V (Light).

From one demographic characteristic, heavy outdoor game, it can be said that these consumers consume more pizzas as much as they play games.

Consumers of California Pizza, reads more of Magazine II , Newspaper III and listens to Radio III. This suggests heavier the magazine; the more likely they are to consume pizza. Also readers of moderate newspapers and listeners of moderate radio are more likely to consume California Pizza[2].

 

For Beverage Item

A clear picture of the defined customer can be found from the summary of the given result of MRI Blue Moon. The data are grouped into different groups and the data with * is rejected due to less number of respondent. The highest indexed value data is selected from the group and thus the summary is created.

Men

 

114141

3845

3.4

68.2

142

Occupation: management, business and financial operations

 

22675

885

3.9

15.7

164

Men 18-34

 

35868

1728

4.8

30.7

203

Educ: post graduate

 

24233

856

3.5

15.2

149

Age 18-24

 

30221

1195

4

21.2

166

Adults 18-34

 

71927

2605

3.6

46.2

152

Women 18-34

 

36060

876

2.4

15.6

102

HHI: $150,000+

 

26233

1294

4.9

23

208

Census Region: West

 

53905

1555

2.9

27.6

121

Mediamarkets: Top 5

 

49048

1505

3.1

26.7

129

County Size: A

 

97994

2847

2.9

50.5

122

Marital Status: Never Married

 

65394

2310

3.5

41

149

Child age: 2-5 years

 

33480

943

2.8

16.7

118

Years At Present Address:

 

40216

1274

3.2

22.6

133

Home value: $500,000+

 

15352

584

3.8

10.4

160

Race: White

 

178734

4612

2.6

81.9

109

Race: White only

 

175782

4558

2.6

80.9

109

Race: Other race/Multiple classifications

 

33063

734

2.2

13

93

Spanish spoken in home (most often or other)

 

37649

727

1.9

12.9

81

Magazines: II

 

47403

1466

3.1

26

130

Newspaper IV

 

47404

1316

2.8

23.4

117

Radio II

 

47392

1508

3.2

26.8

134

TV (total) IV

 

47402

1440

3

25.6

128

Internet I (Heavy)

 

47371

1665

3.5

29.6

148

Outdoor II

 

47402

1392

2.9

24.7

124

TV (Prime time) IV

 

47414

1321

2.8

23.5

117

TV (Day time) III (Light)

 

24940

655

2.6

11.6

111

HH subscribe to digital cable

 

95351

2506

2.6

44.5

111

Cable Services: Adult Swim

 

16603

822

5

14.6

208

Magazines: Men's Fitness

 

7840

546

7

9.7

293

Radio: Weekday 3:00 pm - 7:00 pm

 

104120

3148

3

55.9

127

TV Show Types: Football Pro Pregame Shows

 

29883

934

3.1

16.6

132

Web Sites: MLB.com

 

9415

553

5.9

9.8

247


Summary: Information about the consumers of MRI Blue Moon

It is seen that the consumers of MRI Blue Moon is mostly men of age group 18-34. Women of the same age also consume this product, but   men prefer it more. The consumer’s education is post graduate and their occupation is management, business and financial operations. These are unmarried consumers and reside in the west region[3].

These white peoples have a Home value of $500,000+ and their household income is $150,000+. They use internet heavily and watches TV at daytime, but light. These consumes usually watch Football Pro Pregame Shows. Their households are also subscribed to digital cable.

It can be said that the more they use internet, the more they are likely to consume MRI Blue Moon.

The consumers of MRI Blue Moon reads magazine quite heavily and listens to radio quite heavily. They read light newspapers. It can be said that drinking of MRI Blue Moon is directly proportional to the level of magazine and radio listening and is inversely proportional to the degree of newspaper reading[4].

 

References

Anderson, Theodore Wilbur, and Jeremy Finn.The New Statistical Analysis Of Data. Springer Science & Business Media, 2012.
 
DiMaggio, Charles. Introduction. Springer New York, 2013.
 
Andersson, Hakan, and Tom Britton.Stochastic epidemic models and their statistical analysis. Vol. 151. Springer Science & Business Media, 2012.
 
Anderson, Theodore Wilbur, and Jeremy Finn.The new statistical analysis of data. Springer Science & Business Media, 2012.

[1] Anderson, Theodore Wilbur, and Jeremy Finn. The new statistical analysis of data. Springer Science & Business Media, 2012.

[2] DiMaggio, Charles. Introduction. Springer New York, 2013.

[3] Andersson, Hakan, and Tom Britton. Stochastic epidemic models and their statistical analysis. Vol. 151. Springer Science & Business Media, 2012.

[4] Anderson, Theodore Wilbur, and Jeremy Finn. The new statistical analysis of data. Springer Science & Business Media, 2012.

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