Survey Data Phase 2

8/7/2019 Survey Data Phase 2

http://slidepdf.com/reader/full/survey-data-phase-2 1/12

Abstract

In Progress

In troductio n

As a consultant from Intel Corp I was hired by the Rothberg Company to determine/answer the

following:

1. Is there a relationship between an appropriate combination of a person s height, weight, ring and shoe

size?

2. Is there difference in the gross income based on gender?

3. Is there a relationship between political party and if the people feel- President Obama should be re-

elected-in favor of the health care bill- in favor of the death penalty

4. Is there a relationship in handedness and- being in favor of the death penalty-amount of water

consumed?

5. Is there a relationship between education and gross income?

6. Is there a relationship between

I expect to see a relationship in question one, question three and question five. I expect to see

a difference in question two. I expect to see no relationship in question 4. In order to test my

hypothesis and answer Rothberg Companies questions I was allowed to take a simple random

sample of 40 from a population of 1092. I ran a series of statistical analyses on the sample in

order to be able to apply it to the entire population.

Method

Object(s) of Study



The 40 people studied were randomly selected from a population of 1092. T he

variables of interest are as fallows: weight, height, ring size, shoe size, gross income, gender,

education level, handedness, death penalty, water consumption, health care bill, political party,

and Obama re-election.

Materials

A T I-83 calculator was used to take the sample of people, to store the data and to make

graphical displays. Excel was used to view the data given by the Rothberg Company. A digital

Camera was used to add the Graphical displays from the T I-83 to the document.

Research Design

Procedure

People were first randomly selected 40 from a population of 1092 given to me by the

Rothberg Company. To ensure that the same people were not selected twice, the sample size

taken from the data was 45 instead of 40 allowing for duplicates to be replaced. The calculator

command was as follows Math > randInt (1,1092,45) S T O> L4. T he data was recorded in L4

(Stat>Edit>Enter>L4). After storing all the data in L4 all duplicate and extra data were removed

form the data set. I then took that data and got my sample of 40 people. Once I had my 40

people I then started imputing the data about the violent and property crimes in each state into

my calculator. When the data was finished being impute I began to create graphical displays.

The impute data was reviewed by me to find if it had been impute correctly. No errors were

found in the data.

Results



It was concluded that the variables of interest height, weight, ring and shoe size, water

consumption were Ratio/Interval and thus quantitative and continuous. Variables of interest

gender, political party, handedness, education level, death penalty, health care bill, and Obama

re-election were Nominal/Ordinal qualitative and discrete. Upon that assumption the data was

collected and interpreted. T he following information is given as supporting evidence of the

results recorded and analyzed by me. Question one was the first to be addressed therefore it

was the first reported dataset in the results portion of this paper. Initial findings are as follows:

In T able 1.1 Height, weight, ring and shoe size.

Height Weight Ri n g Shoe

67 180 6.5 8.5

66 253 8 8

68 158 32 10

64 110 6 5.5

63 55 6 *

* 80 6 *

67 185 11 9

62 145 7 7.5

68 215 10 9

64 121 6 7

65 100 * *

71 190 8 12

63 145 7 8

69 185 * 10

72 175 11 10

70 200 10 11

61 145 * 4

69 155 * 9

* 128 16 17

* 169 57 58

* 208 96 97



* 225 113 114

* 243 131 132

* 265 153 154

* 283 171 172

* 343 231 232* 347 235 236

* 354 242 243

65 175 5 8

71 215 10 12

60 150 7 7

72 215 11 10

73 210 10 11

63 180 11 13

51 110 6 6.5

64 15 0 6 8

53 220 10 10

60 105 5 5

75 190 * 13

62 130 * 8

64 200 13 9

In T able 1.2 The five number summary and additional statistics

Table 1.2 Height /WeightSample Statistics E n umeratio n

Mean 47.8537 185.6585Standard Deviation 29.6981 67.7269

Min 0 55Q 0 145

Median 63 180Q 68 215

Max 75 354Range 75 299

Table 1.2 Ri n g / Shoe SizeSample Statistics E n umeratio n

Mean 40.8171 41.5610Standard Deviation 70.1612 70.1575

Min 0 0Q 6 7.75



Median 10 10Q 24 15

Max 242 243Range 242 243

Gross income and Gender was the second area of study and therefore the second

reported dataset in the results. Initial findings are as follows:

In T able 2.1 Gross Incomes / Gender



Table 2.1

Gen der In comeFemale 34000Female 39000Male 18000

Female 169000Female 0Female 0Female 39000Female 50000Male 78000

Female 210000Female 18000Male 35000

Female 25000Male 50000Male 0Male 46000

Female 0Male 6000

Female 12012Female 12053Female 12092Female 12109Female 12127Female 12149Female 12167Female 12227Female 12231Female 12238Female 30000Male 45000

Female 45000Male 50000Male 8000Male 0

Female 30000Male 120000

Female 12000Female 25000Male 15000Male 80000

In T able 2.2 The five number summary and additional statistics Gross Income Male/ F emale



Table 2.2Sample Statistics E n umeratio n

Mean 33160.1250Standard Deviation 43546.3842

Min 0Q 12032

Median 16500Q 42000

Max 210000Range 210000

Political Party and if a person feels that Obama should be re-elected, the health care bill shouldbe passed and if they support the death penalty are the third area of study. Initial findings are

as fallows.



Handedness and weather the people are in favor of the death penalty and handedness and

water consumption are the fourth area of study. Initial findings are as follows:

Water co n sumptio n (Ou n ces) a n d Ha n ded n ess

Left ha n ded Right ha n ded

64 3396 1648 864 60

Total: 272 3648

120130144

00

80





Handedness and Death Penalty:

Relationship between education and gross income is the fifth area of study. TheInitial results are as follows:



Educatio n Level In come

High School 34000High School 39000High School 18000

PhD 169000

Other 0Other 0

Associates 39000Bachelors 50000Associates 78000

High School 210000High School 18000High School 35000Associates 25000Associates 50000

High School 0Associates 46000

High School 0High School 6000High School 12012High School 12053High School 12092High School 12109High School 12127High School 12149High School 12167High School 12227High School 12231High School 12238Associates 30000

High School 45000Bachelors 45000

High School 50000High School 8000High school 0Associates 30000

Masters 120000Other 12000

High School 25000High School 15000Bachelors 80000

Education level and Gross income:



Documents

Survey Data Phase 2