Part A (Introduction): a) Write an introduction: • Explain the problem in general (e.g., vitamin D deficiency and recommended vitamin D level). Support your opinion with at least one reference (Harvard referencing), and Introduce all 5 variables: country (add frequency table), sun exposure (add frequency table), gender (add frequency table), age (add summary statistics vs. country, sun exposure and gender), and vitamin D level (add summary statistics vs. country, sun exposure and gender). Plot a histogram with a superimposed normal curve for both age and vitamin D level and describe your findings. Convert age to a categorical variable (call it NewAge) with 2 levels (<40= "1", ≥ 40 "11")

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 42PFA
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Related questions
Question
Part A (Introduction):
a) Write an introduction:
• Explain the problem in general (e.g., vitamin D deficiency and
recommended vitamin D level). Support your opinion with at least one
reference (Harvard referencing), and
Introduce all 5 variables: country (add frequency table), sun exposure
(add frequency table), gender (add frequency table), age (add summary
statistics vs. country, sun exposure and gender), and vitamin D level (add
summary statistics vs. country, sun exposure and gender).
Plot a histogram with a superimposed normal curve for both age and
vitamin D level and describe your findings.
Convert age to a categorical variable (call it NewAge) with 2 levels
(<40 = "1", ≥ 40 "11")
Transcribed Image Text:Part A (Introduction): a) Write an introduction: • Explain the problem in general (e.g., vitamin D deficiency and recommended vitamin D level). Support your opinion with at least one reference (Harvard referencing), and Introduce all 5 variables: country (add frequency table), sun exposure (add frequency table), gender (add frequency table), age (add summary statistics vs. country, sun exposure and gender), and vitamin D level (add summary statistics vs. country, sun exposure and gender). Plot a histogram with a superimposed normal curve for both age and vitamin D level and describe your findings. Convert age to a categorical variable (call it NewAge) with 2 levels (<40 = "1", ≥ 40 "11")
Country
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
Male
Male
Male
Male
Male
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Male
Male
Male
Male
Male
Gender
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Male
Male
Male
Male
Male
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Male
Male
Male
Male
Male
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Male
Male
Male
Male
Male
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Male
Male
Male
Male
Male
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Sun_Exposure
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
High
High
High
High
High
High
High
**********
High
High
High
High
High
High
High
High
Low
[[[[[[[[[
Low
Low
Low
Low
Low
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
High
High
High
High
High
High
High
*********
High
High
High
High
High
High
High
High
Age
37
31
33
38
37
36
32
36
32
37
39
33
32
38
37
34
22
38
38
38
33
37
39
38
38
37
21
38
39
30
38
39
23
37
35
34
37
30
37
39
36
37
37
38
29
52
47
46
45
47
47
46
41
42
47
51
47
49
35
51
49
47
46
41
47
49
43
48
47
49
45
49
49
40
47
45
49
45
47
47
41
44
51
34
47
49
46
47
46
45
Vitamin_D_Level
45
40
39
42
38
38
39
37
44
38
43
36
41
44
34
48
57
38
45
37
60
40
42
42
44
39
38
39
45
47
55
59
46
55
51
49
51
62
55
53
53
66
53
51
57
53
47
57
47
51
49
53
55
45
48
51
48
46
51
45
45
58
48
55
52
44
48
48
48
62
52
52
55
65
55
62
65
52
57
62
60
62
64
63
63
63
62
61
67
75
Transcribed Image Text:Country A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B Male Male Male Male Male Female Female Female Female Female Other Other Other Other Other Male Male Male Male Male Gender Female Female Female Female Female Other Other Other Other Other Male Male Male Male Male Female Female Female Female Female Other Other Other Other Other Male Male Male Male Male Female Female Female Female Female Other Other Other Other Other Male Male Male Male Male Female Female Female Female Female Other Other Other Other Other Male Male Male Male Male Female Female Female Female Female Other Other Other Other Other Sun_Exposure Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate High High High High High High High ********** High High High High High High High High Low [[[[[[[[[ Low Low Low Low Low Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate High High High High High High High ********* High High High High High High High High Age 37 31 33 38 37 36 32 36 32 37 39 33 32 38 37 34 22 38 38 38 33 37 39 38 38 37 21 38 39 30 38 39 23 37 35 34 37 30 37 39 36 37 37 38 29 52 47 46 45 47 47 46 41 42 47 51 47 49 35 51 49 47 46 41 47 49 43 48 47 49 45 49 49 40 47 45 49 45 47 47 41 44 51 34 47 49 46 47 46 45 Vitamin_D_Level 45 40 39 42 38 38 39 37 44 38 43 36 41 44 34 48 57 38 45 37 60 40 42 42 44 39 38 39 45 47 55 59 46 55 51 49 51 62 55 53 53 66 53 51 57 53 47 57 47 51 49 53 55 45 48 51 48 46 51 45 45 58 48 55 52 44 48 48 48 62 52 52 55 65 55 62 65 52 57 62 60 62 64 63 63 63 62 61 67 75
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Follow-up Questions
Read through expert solutions to related follow-up questions below.
Follow-up Question

The r code for side by side boxplot of vitamind v newage and vitamin d v country.

Scatterplot code for relationship between vitamin d level and age. 

Solution
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Follow-up Question
Part B (Methodology):
In your methodology section, introduce the following three analyses with
assumptions and models.
The response variable for all models will be vitamin D level.
•
Factorial ANOVA - two factors: "Sun_Exposure", "Gender"
Blocking (randomised design) - two fixed factors: "Sun_Exposure",
"Gender" and one random factor: "Country"
ANCOVA - two factors: "Sun_Exposure", "Gender" and continuous
variable: "Age".
Based on your findings in Part A, explain why we expect to get similar results for
these factorial ANOVA and ANCOVA tests.
Transcribed Image Text:Part B (Methodology): In your methodology section, introduce the following three analyses with assumptions and models. The response variable for all models will be vitamin D level. • Factorial ANOVA - two factors: "Sun_Exposure", "Gender" Blocking (randomised design) - two fixed factors: "Sun_Exposure", "Gender" and one random factor: "Country" ANCOVA - two factors: "Sun_Exposure", "Gender" and continuous variable: "Age". Based on your findings in Part A, explain why we expect to get similar results for these factorial ANOVA and ANCOVA tests.
Solution
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Follow-up Question
Part B (Methodology):
In your methodology section, introduce the following three analyses with
assumptions and models.
The response variable for all models will be vitamin D level.
Factorial ANOVA - two factors: "Sun_Exposure", "Gender"
Blocking (randomised design) - two fixed factors: "Sun_Exposure",
"Gender" and one random factor: "Country"
• ANCOVA - two factors: "Sun_Exposure", "Gender" and continuous
variable: "Age".
Based on your findings in Part A, explain why we expect to get similar results for
these factorial ANOVA and ANCOVA tests.
Transcribed Image Text:Part B (Methodology): In your methodology section, introduce the following three analyses with assumptions and models. The response variable for all models will be vitamin D level. Factorial ANOVA - two factors: "Sun_Exposure", "Gender" Blocking (randomised design) - two fixed factors: "Sun_Exposure", "Gender" and one random factor: "Country" • ANCOVA - two factors: "Sun_Exposure", "Gender" and continuous variable: "Age". Based on your findings in Part A, explain why we expect to get similar results for these factorial ANOVA and ANCOVA tests.
Solution
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SEE SOLUTION
Follow-up Question
Create a side-by-side boxplot for vitamin D level vs. NewAge and a side-
by-side boxplot for vitamin D level vs. country.
Create a scatterplot to show the relationship between vitamin D level
and Age.
Compare these two side-by-side boxplots and the scatterplot and explain
your findings.
• Note: Write appropriate captions for the tables, graphs, and outputs.
Transcribed Image Text:Create a side-by-side boxplot for vitamin D level vs. NewAge and a side- by-side boxplot for vitamin D level vs. country. Create a scatterplot to show the relationship between vitamin D level and Age. Compare these two side-by-side boxplots and the scatterplot and explain your findings. • Note: Write appropriate captions for the tables, graphs, and outputs.
Solution
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SEE SOLUTION
Follow-up Question
Part A (Introduction):
a) Write an introduction:
• Explain the problem in general (e.g., vitamin D deficiency and
recommended vitamin D level). Support your opinion with at least one
reference (Harvard referencing), and
Introduce all 5 variables: country (add frequency table), sun exposure
(add frequency table), gender (add frequency table), age (add summary
statistics vs. country, sun exposure and gender), and vitamin D level (add
summary statistics vs. country, sun exposure and gender).
Plot a histogram with a superimposed normal curve for both age and
vitamin D level and describe your findings.
Convert age to a categorical variable (call it NewAge) with 2 levels
(<40 = "1", ≥ 40 "11")
Create a side-by-side boxplot for vitamin D level vs. NewAge and a side-
by-side boxplot for vitamin D level vs. country.
Create a scatterplot to show the relationship between vitamin D level
and Age.
Compare these two side-by-side boxplots and the scatterplot and explain
your findings.
• Note: Write appropriate captions for the tables, graphs, and outputs.
Part B (Methodology):
In your methodology section, introduce the following three analyses with
assumptions and models.
The response variable for all models will be vitamin D level.
• Factorial ANOVA - two factors: "Sun_Exposure", "Gender"
•
Blocking (randomised design) - two fixed factors: "Sun_Exposure",
"Gender" and one random factor: "Country"
•
ANCOVA - two factors: "Sun_Exposure", "Gender" and continuous
variable: "Age".
Based on your findings in Part A, explain why we expect to get similar results for
these factorial ANOVA and ANCOVA tests.
Transcribed Image Text:Part A (Introduction): a) Write an introduction: • Explain the problem in general (e.g., vitamin D deficiency and recommended vitamin D level). Support your opinion with at least one reference (Harvard referencing), and Introduce all 5 variables: country (add frequency table), sun exposure (add frequency table), gender (add frequency table), age (add summary statistics vs. country, sun exposure and gender), and vitamin D level (add summary statistics vs. country, sun exposure and gender). Plot a histogram with a superimposed normal curve for both age and vitamin D level and describe your findings. Convert age to a categorical variable (call it NewAge) with 2 levels (<40 = "1", ≥ 40 "11") Create a side-by-side boxplot for vitamin D level vs. NewAge and a side- by-side boxplot for vitamin D level vs. country. Create a scatterplot to show the relationship between vitamin D level and Age. Compare these two side-by-side boxplots and the scatterplot and explain your findings. • Note: Write appropriate captions for the tables, graphs, and outputs. Part B (Methodology): In your methodology section, introduce the following three analyses with assumptions and models. The response variable for all models will be vitamin D level. • Factorial ANOVA - two factors: "Sun_Exposure", "Gender" • Blocking (randomised design) - two fixed factors: "Sun_Exposure", "Gender" and one random factor: "Country" • ANCOVA - two factors: "Sun_Exposure", "Gender" and continuous variable: "Age". Based on your findings in Part A, explain why we expect to get similar results for these factorial ANOVA and ANCOVA tests.
Solution
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SEE SOLUTION
Follow-up Question
Country
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
A
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
B
Gender
Male
Male
Male
Male
Male
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Male
Male
Male
Male
Male
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Male
Male
Male
Male
Male
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Male
Male
Male
Male
Male
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Male
Male
Male
Male
Male
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Male
Male
Male
Male
Male
Female
Female
Female
Female
Female
Other
Other
Other
Other
Other
Sun_Exposure
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
High
High
High
High
High
High
High
**********
High
High
High
High
High
High
Hight
High
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Low
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
Moderate
High
Hight
High
High
High
High
High
High
********
High
High
High
High
High
High
High
Age
37
31
33
38
37
36
32
36
32
37
39
33
32
38
37
34
22
38
38
38
33
37
39
38
38
37
21
38
39
30
38
39
23
37
35
34
37
30
37
39
36
37
37
38
29
52
47
46
45
47
47
46
41
42
47
51
47
49
35
51
49
47
46
41
47
49
43
48
47
49
45
49
49
40
47
45
49
45
47
47
41
44
51
34
47
49
46
47
46
45
Vitamin_D_Level
45
40
39
42
38
38
39
37
44
38
43
36
41
44
34
48
57
38
45
37
60
40
42
42
44
39
38
39
45
47
55
59
46
55
51
ឧ៤៩៦ ឌ__៖ ឌ ភក្ត
49
51
62
55
53
53
66
53
51
57
53
47
57
47
51
49
53
55
45
48
51
48
46
51
45
45
58
48
55
52
44
48
48
48
62
52
52
55
65
55
62
65
52
57
62
60
62
64
63
63
63
62
61
67
75
Transcribed Image Text:Country A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A A B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B B Gender Male Male Male Male Male Female Female Female Female Female Other Other Other Other Other Male Male Male Male Male Female Female Female Female Female Other Other Other Other Other Male Male Male Male Male Female Female Female Female Female Other Other Other Other Other Male Male Male Male Male Female Female Female Female Female Other Other Other Other Other Male Male Male Male Male Female Female Female Female Female Other Other Other Other Other Male Male Male Male Male Female Female Female Female Female Other Other Other Other Other Sun_Exposure Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate High High High High High High High ********** High High High High High High Hight High Low Low Low Low Low Low Low Low Low Low Low Low Low Low Low Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate Moderate High Hight High High High High High High ******** High High High High High High High Age 37 31 33 38 37 36 32 36 32 37 39 33 32 38 37 34 22 38 38 38 33 37 39 38 38 37 21 38 39 30 38 39 23 37 35 34 37 30 37 39 36 37 37 38 29 52 47 46 45 47 47 46 41 42 47 51 47 49 35 51 49 47 46 41 47 49 43 48 47 49 45 49 49 40 47 45 49 45 47 47 41 44 51 34 47 49 46 47 46 45 Vitamin_D_Level 45 40 39 42 38 38 39 37 44 38 43 36 41 44 34 48 57 38 45 37 60 40 42 42 44 39 38 39 45 47 55 59 46 55 51 ឧ៤៩៦ ឌ__៖ ឌ ភក្ត 49 51 62 55 53 53 66 53 51 57 53 47 57 47 51 49 53 55 45 48 51 48 46 51 45 45 58 48 55 52 44 48 48 48 62 52 52 55 65 55 62 65 52 57 62 60 62 64 63 63 63 62 61 67 75
Part A (Introduction):
a) Write an introduction:
.
Explain the problem in general (e.g., vitamin D deficiency and
recommended vitamin D level). Support your opinion with at least one
reference (Harvard referencing), and
• Introduce all 5 variables: country (add frequency table), sun exposure
(add frequency table), gender (add frequency table), age (add summary
statistics vs. country, sun exposure and gender), and vitamin D level (add
summary statistics vs. country, sun exposure and gender).
Plot a histogram with a superimposed normal curve for both age and
vitamin D level and describe your findings.
Convert age to a categorical variable (call it NewAge) with 2 levels
(<40= "1", ≥ 40 "11")
Create a side-by-side boxplot for vitamin D level vs. NewAge and a side-
by-side boxplot for vitamin D level vs. country.
Create a scatterplot to show the relationship between vitamin D level
and Age.
Compare these two side-by-side boxplots and the scatterplot and explain
your findings.
Note: Write appropriate captions for the tables, graphs, and outputs.
Transcribed Image Text:Part A (Introduction): a) Write an introduction: . Explain the problem in general (e.g., vitamin D deficiency and recommended vitamin D level). Support your opinion with at least one reference (Harvard referencing), and • Introduce all 5 variables: country (add frequency table), sun exposure (add frequency table), gender (add frequency table), age (add summary statistics vs. country, sun exposure and gender), and vitamin D level (add summary statistics vs. country, sun exposure and gender). Plot a histogram with a superimposed normal curve for both age and vitamin D level and describe your findings. Convert age to a categorical variable (call it NewAge) with 2 levels (<40= "1", ≥ 40 "11") Create a side-by-side boxplot for vitamin D level vs. NewAge and a side- by-side boxplot for vitamin D level vs. country. Create a scatterplot to show the relationship between vitamin D level and Age. Compare these two side-by-side boxplots and the scatterplot and explain your findings. Note: Write appropriate captions for the tables, graphs, and outputs.
Solution
Bartleby Expert
SEE SOLUTION
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