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The purpose of this assignment is to practice organizing data through ordering and grouping variables. Data often appear disordered and it is difficult to see

The purpose of this assignment is to practice organizing data through ordering and grouping variables.

Data often appear disordered and it is difficult to see any connections or relationships. Ordering the data by certain variables or grouping variables into specific categories, such as age or sex categories, can help bring clarity to the data. Knowing how to organize data is an important skill to initiate the analytical process.

For this assignment, students will use Excel and SPSS Statistics to order variables. Using the "Example Dataset," complete the steps below using both Excel and SPSS Statistics. View the Excel and SPSS tutorials for assistance in completing this assignment. Submit one Word document and include a screen shot of the data after completing the first two steps of Part 1 in Excel and SPSS to compare your results. Use a second Word document to complete Part 2 of the assignment.

Part 1: Ordering and Grouping Data Using Excel and SPSS For Part 1, accomplish the following: 1. Order (sort) observations according to age. 2. Group observations by sex and investigate the age and income for males and females. 1. Create a new variable titled "Exercise Group" based on the variable "Minutes Exercise." Use the following categories to create your groups:1 = 0-30 minutes; 2 = 31-60 minutes; 3 = 61-90 minutes; 4 = 91-120 minutes; and 5 = 120+ minutes.

Part 2: Data Interpretation Study the results of the dataset grouping and ordering. Discuss the following in a 500-750 word summary: 1. Describe the measurement levels for each of the variables in the dataset. 2. Discuss what you learned from ordering the data by age and why this information is important. 3. Describe the process you used to group the data in Excel and SPSS. 4. Describe what you learned by grouping the variables by category of exercise. 5. Are these data from a correlational study, experimental study, or quasi-experimental (observational) study? Discuss your rationale and identify a study question appropriate for this dataset.

A local community organization was interested in learning about general health behaviors in the area and the relationships between health behaviors and environmental and social determinants. They decided to conduct a brief survey based on a convenient sample of people visiting the local shopping mall. They offered a $5 incentive for completing the survey. The Topic 1 Example dataset includes 30 observations from this survey. Use this data to complete the relevant assignments in this course.

Education Level

1 Less than High School

2 Graduated High School

3 Graduated College

Annual Income = US Dollars

ID Sex Smoker Education_Level*** Minutes_Exercise Age Employed Annual_Income* Neighborhood
101 Female No 2 90 45 Yes 51000 B
102 Male No 2 50 58 No 23000 C
103 Female Yes 3 65 31 Yes 35000 B
104 Male No 1 20 54 No 10000 C
105 Female Yes 1 50 30 Yes 28000 B
106 Female Yes 2 25 18 No 5000 C
107 Female No 3 110 39 Yes 46000 A
108 Male Yes 1 50 37 Yes 36000 B
109 Female Yes 2 40 44 Yes 51000 C
110 Male No 2 80 24 No 12000 A
111 Female No 3 120 42 Yes 78000 A
112 Male No 1 80 50 Yes 34000 D
113 Female Yes 1 60 20 No 15000 B
114 Male No 3 150 35 Yes 28000 B
115 Male No 2 75 61 Yes 28000 A
116 Male No 1 80 59 No 24000 B
117 Female No 2 110 36 Yes 55000 D
118 Male Yes 3 80 35 Yes 62000 B
119 Male Yes 2 100 29 No 32000 D
120 Female No 1 0 32 No 7000 C
121 Female Yes 2 50 26 No 17000 B
122 Female No 3 200 42 Yes 64000 D
123 Male No 2 60 52 No 5000 A
124 Male No 1 65 49 No 14000 D
125 Female No 1 40 21 No 20000 C
126 Male Yes 3 65 48 Yes 72000 A
127 Female Yes 3 70 40 Yes 85000 A
128 Female No 1 45 53 No 15000 B
129 Male No 3 75 46 Yes 64000 C
130 Male Yes 3 50 42 Yes 27000 B

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