support@qualitydissertationpapers.com

+1(316)4441378

+44-141-628-6690

Statistics Assignment

Q1)

 

Does happiness depend on one’s marital status? Please consider the following set of data collected from a random sample:

 

Married

Widowed

Divorced/Separated

Never Married

Very Happy

600

  63

112

144

Somewhat Happy

720

142

355

459

Not Too Happy

  93

  51

119

127

 

Required:

 

(a)  Please write the hypotheses that correspond to the above scenario.

(b)  Please conduct a chi square test at an alpha = 0.05 level of significance. Provide your chi square table and output resulting from this analysis.

 

Q2)

The Gallup Organization regularly surveys adult Americans regarding their commute time to work. In addition, they administer a Well-Being Survey.

 

According to the Gallup Organization, “The Gallup-Healthways Well-Being Index Composite Score is comprised of six sub-indices: Life Evaluation, Emotional Health, Physical Health, Healthy Behavior, Work Environment and Basic Access.” A complete description of this index can be found at http://www.well-beingindex.com/ (Links to an external site.)

 

The data in the following table are based on the results of the survey, which represent commute time to work (in minutes) and well-being index score:

 

Commute Time (in minutes)

Gallup-Healthways Well-Being Index Composite Score

    5

69.2

  15

68.3

  25

67.5

  35

67.1

  50

66.4

  72

66.1

105

63.9

Source: The Gallup Organization

 

Required:

 

(a)  Please generate or sketch a scatterplot of these data. Please also briefly explain what conclusions you can draw from this scatterplot.

(b)  Please compute the Pearson correlation coefficient (Pearson’s r) between commute time and well-being index score.

(c)  What can you conclude based on the value of your correlation coefficient and the associated scatterplot? Does a linear relationship exist between commute time and well-being index score? Why or why not?

 

Q3)

An economist was interested in modeling the relationship among annual income, level of education, and work experience. The level of education is the number of years of education beyond eighth grade, so 1 represents completing 1 year of high school, 8 means completing 4 years of college, and so on. Work experience is the number of years employed in the current profession.

From a random sample of 12 individuals, this economist obtained the following data:

 

Work Experience (years)

Level of Education

Annual Income ($ thousands)

12

 6

34.7

14

 3

17.9

  4

 8

22.7

16

 8

63.1

12

 4

33.0

20

 4

41.4

25

 1

20.7

  8

 3

14.6

24

12

97.3

28

 9

72.1

  4

11

49.1

15

  4

52.0

 

Required:

 

(a)  Please state the regression equation corresponding to the above scenario.

 

(b)  Please conduct a regression analysis of these data. Be sure to include (e.g., copy and paste) your relevant regression output as part of your response.

(c)  What can you conclude regarding the relationship among annual income, level of education and work experience based on your regression analysis results in part (b)? Be sure to cite relevant numeric indices or results of your regression analysis as part of your response.

 

You can place an order similar to this with us. You are assured of an authentic custom paper delivered within the given deadline besides our 24/7 customer support all through.

 

Latest completed orders:

# topic title discipline academic level pages delivered
6
Writer's choice
Business
University
2
1 hour 32 min
7
Wise Approach to
Philosophy
College
2
2 hours 19 min
8
1980's and 1990
History
College
3
2 hours 20 min
9
pick the best topic
Finance
School
2
2 hours 27 min
10
finance for leisure
Finance
University
12
2 hours 36 min
[order_calculator]