look at the following weight satisfaction survey questions data minitab data analysis output and scatterplot the data are similar to what would have been obtained if you sent the survey to 10 people your task is to evaluate the information and determ

Look at the following Weight Satisfaction Survey questions, data, Minitab data analysis output, and scatterplot. The data are similar to what would have been obtained if you sent the survey to 10 people. Your task is to evaluate the information and determine if there are any significant results and also to determine if there are any apparent gender differences. Based on your observation and evaluation, prepare a report in a 1- to 2-page Microsoft Word document.

Questions for Weight Satisfaction Survey:

Answer the following questions to the best of your ability:

Gender

Height

Weight

Age

Male or Female

Height (in inches)

Weight (in pounds)

Age (in years)

Are you satisfied with you weight? Yes or No (satis)

Do you exercise regularly? Yes or No (exreg)

If yes, how many times a week do you exercise? _______ (tweek)

Have you ever misrepresented your weight? Yes or No (misrep)

Do you mind talking about weight? Yes or No

If yes, please explain: _____________________ (expl)

Data has been entered in the table under the variable names given in parentheses at the end of the survey questions. It is important to note that each participant has two lines of data, and the answer to the open-ended question is typed on the second line. The coding information for the variables that need coding is as follows: gender (1 = male, 2 = female), satis (1 = yes, 2 = no), exreg (1 = yes, 2 = no), misrep (1 = yes, 2 = no), and mind (1 = yes, 2 = no).

Data from Weight Satisfaction Survey

Partic. #

Gender

Height

Weight

Age

Satis

Exreg

Tweek

Misrep

Mind

1

1

70

182

43

1

1

3

2

2

expl:

2

2

70

191

53

2

1

2

1

2

expl:

3

2

64

205

49

1

2

1

1

expl: I am just not happy about my weight and I do not like to talk about it.

4

2

69

189

26

2

2

1

1

expl: I would rather not say the number.

5

1

74

210

67

2

2

2

2

expl:

6

2

67

145

46

1

2

2

2

expl:

7

1

69

192

42

1

1

4

2

1

expl:

8

2

65

178

54

2

2

1

1

expl: It makes me feel bad to talk about my weight because I want to be thinner.

9

1

71

210

41

1

2

2

2

2

expl:

10

2

60

212

32

2

2

1

1

expl: I try not to think about it. It is a battle I have been fighting all my life.

Appropriate Descriptive Statistics

Descriptive Statistics

N

Minimum

Maximum

Mean

Standard Deviation

Height

10

60

74

68.00

4.082

Weight

10

145

212

191.40

20.354

Age

10

26

67

45.30

11.567

Tweek

4

2

4

2.75

.957

Valid N (List-Wise)

4

Pearson Correlations

Correlations

Height

Weight

Age

Height

Pearson Correlation

1.000

.017

.419

Significance (Two-Tailed)

.962

.228

N

10

10

10

Weight

Pearson Correlation

.017

1.000

.007

Significance(Two-Tailed)

.962

.986

N

10

10

10

Age

Pearson Correlation

.419

.007

1.000

Significance (Two-Tailed)

.228

.986

N

10

10

10

Study Results: Write a results section that includes the descriptive statistics for age, weight, and height. Also, look at the data for the satis, exreg, misrep, and mind variables for the males and females. Determine the frequency counts of the yes or no responses for the males and females. Does it seem the males and females responded differently to any of the questions?

How You Would Handle the Participants: You must write a brief statement to answer the following questions:

  • How would you feel if you had to collect the data from any of the participants who were selected for this study? Which specific participants might feel embarrassed and why?
  • How would you handle their discomfort while answering questions? What would you do if they wanted to stop filling out the survey?

Support your responses with examples.

Cite any sources in APA format.

 
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