Biostats HW WORKSHEET "Comparing 2 means"

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—Week 2 Assignment 1

Hands on SPSS!

(Rubric included)

Instructions

You will create and analyze frequency distributions and summary statistics of data provided as a Microsoft Excel file. Import the data into SPSS. Then run frequency distribution graphs and tables and calculate summary statistics in SPSS as instructed below. Note: It is recommended that you save the SPSS data file. Type your answers to all questions and paste all required output directly into the worksheet at the end of this document.

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Research Scenario

A study was conducted to determine if a walking plus strength training exercise program results in a significantly greater increase in aerobic capacity as compared to a walking only exercise program. Participants are randomly selected and then randomly assigned to one of the exercise groups. Participants’ aerobic endurance was assessed at the beginning of the study and, again, after 6-months of exercise.

Coding for study variables:

· AGE—age in years

· SEX—1 =male, 2=female

· EXERCISE—1= walking and strength training; 2 = walking;

· CHNG_ENDUR—change in maximal oxygen uptake (liters per minute) from pre-test to post-test

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Note: Save all of your SPSS output. You will paste copies of in Step 11.

Step 1: Review this week’s Learning Resources.

Step 2: Import the Microsoft Excel data file provided in this week’s learning resources into SPSS.

Step 3: Run and save the Codebook for your SPSS data file.

Step 4: Create an ungrouped frequency distribution table for each of the following:

AGE, SEX, EXERCISE, and CHNG_ENDUR.

Step 5: Run descriptive/summary statistics (mean, median, mode, standard deviation, and range) for both exercise types combined for AGE and CHNG_ENDUR.

Step 6: SPLIT the data file by exercise type (EXERCISE).

Step 7: Create a line graph that illustrates CHNG_ENDUR for each exercise type separately.

Step 8: Create pie charts for SEX for each exercise type group.

Step 9: Run descriptive/summary statistics (mean, median, mode, standard deviation, and

range) for each exercise type separately for AGE and CHNG_ENDUR.

Step 10: Review all of your SPSS output and answer each of the following questions:

QUESTION

type answers below

Score (to be entered by instructor)

1. How many participants were female?

_______18_________

____ / 2 point

2. How many participants were aged 40–49 years?

______8__________

____ / 2 points

3. What percent of participants were 39 years old or younger?

_______65%_________

____ / 2 points

4. How many participants had 5 liter/min. increase in their maximal oxygen uptake?

_______5_________

____ / 2 points

5. How many participants had >7 liter/min. increase in their maximal oxygen uptake?

________4________

____ / 2 points

For exercise types 1 and 2 combined:

6. What is the mean for AGE?

______35.70__________

____ / 2 points

7. What is the median for AGE?

____34.50____________

____ / 2 points

8. What is the standard deviation for AGE?

______11.69__________

____ / 2 points

9. What is the mean for CHANGE_ENDUR?

_______4.18_________

____ / 2points

10. What is the median for CHANGE_ ENDUR?

____4.00____________

____ / 2 points

11. What is the range for CHANGE_ ENDUR?

_____7___________

____ / 2 points

12. What is the standard deviation for CHANGE_ ENDUR?

___1.752_____________

____ /2 points

For exercise type 1 (walking and strength training):

13. What is the mean for CHANGE_ ENDUR?

________4.85________

____ / 2 points

14. What is the median for CHANGE_ ENDUR?

________5________

____ / 2 points

15. What is the standard deviation for CHANGE_ ENDUR?

_______1.424_________

____ / 2 points

For exercise type 2 (walking only):

16. What is the mean for CHANGE_ ENDUR?

___3.50_____________

____ / 2 points

17. What is the median for CHANGE_ ENDUR?

___3_____________

____ /2 points

18. What is the standard deviation for CHANGE_ ENDUR?

_____1.821___________

____ /2 points

Step 11: Paste all required output below.

A. Output—SPSS Codebook

AGE

Value

Count

Percent

Standard Attributes

Position

2

Label

<none>

Type

Numeric

Format

F4

Measurement

Nominal

Role

Input

Valid Values

18

2

5.0%

19

1

2.5%

22

3

7.5%

23

1

2.5%

25

1

2.5%

26

1

2.5%

27

3

7.5%

28

1

2.5%

29

3

7.5%

30

1

2.5%

31

1

2.5%

33

1

2.5%

34

1

2.5%

35

1

2.5%

37

1

2.5%

38

2

5.0%

39

2

5.0%

40

1

2.5%

41

1

2.5%

42

1

2.5%

43

2

5.0%

45

1

2.5%

47

1

2.5%

49

1

2.5%

50

2

5.0%

54

1

2.5%

55

1

2.5%

61

1

2.5%

63

1

2.5%

SEX

Value

Count

Percent

Standard Attributes

Position

3

Label

<none>

Type

Numeric

Format

F4

Measurement

Nominal

Role

Input

Valid Values

1

22

55.0%

2

18

45.0%

EXERCISE

Value

Count

Percent

Standard Attributes

Position

4

Label

<none>

Type

Numeric

Format

F4

Measurement

Nominal

Role

Input

Valid Values

1

20

50.0%

2

20

50.0%

CHNG_ENDUR

Value

Count

Percent

Standard Attributes

Position

5

Label

<none>

Type

Numeric

Format

F4

Measurement

Nominal

Role

Input

Valid Values

1

2

5.0%

2

3

7.5%

3

12

30.0%

4

8

20.0%

5

5

12.5%

6

6

15.0%

7

2

5.0%

8

2

5.0%

B. Output—all ungrouped frequency distribution tables:

AGE

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

18

2

5.0

5.0

5.0

19

1

2.5

2.5

7.5

22

3

7.5

7.5

15.0

23

1

2.5

2.5

17.5

25

1

2.5

2.5

20.0

26

1

2.5

2.5

22.5

27

3

7.5

7.5

30.0

28

1

2.5

2.5

32.5

29

3

7.5

7.5

40.0

30

1

2.5

2.5

42.5

31

1

2.5

2.5

45.0

33

1

2.5

2.5

47.5

34

1

2.5

2.5

50.0

35

1

2.5

2.5

52.5

37

1

2.5

2.5

55.0

38

2

5.0

5.0

60.0

39

2

5.0

5.0

65.0

40

1

2.5

2.5

67.5

41

1

2.5

2.5

70.0

42

1

2.5

2.5

72.5

43

2

5.0

5.0

77.5

45

1

2.5

2.5

80.0

47

1

2.5

2.5

82.5

49

1

2.5

2.5

85.0

50

2

5.0

5.0

90.0

54

1

2.5

2.5

92.5

55

1

2.5

2.5

95.0

61

1

2.5

2.5

97.5

63

1

2.5

2.5

100.0

Total

40

100.0

100.0

SEX

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

1

22

55.0

55.0

55.0

2

18

45.0

45.0

100.0

Total

40

100.0

100.0

EXERCISE

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

1

20

50.0

50.0

50.0

2

20

50.0

50.0

100.0

Total

40

100.0

100.0

CHNG_ENDUR

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

1

2

5.0

5.0

5.0

2

3

7.5

7.5

12.5

3

12

30.0

30.0

42.5

4

8

20.0

20.0

62.5

5

5

12.5

12.5

75.0

6

6

15.0

15.0

90.0

7

2

5.0

5.0

95.0

8

2

5.0

5.0

100.0

Total

40

100.0

100.0

C. Output—descriptive/summary statistics for both exercise groups combined:

Statistics

AGE

CHNG_ENDUR

N

Valid

40

40

Missing

0

0

Mean

35.70

4.18

Median

34.50

4.00

Mode

22a

3

Std. Deviation

11.815

1.752

Range

45

7

a. Multiple modes exist. The smallest value is shown

D. Output—line graphs for CHNG_ENDUR for each exercise group separately:

image1.png

image2.png

E. Output—pie charts for SEX for each exercise group separately:

image3.png

image4.png

F. Output—descriptive/summary statistics for each exercise group separately:

Statistics

EXERCISE

AGE

CHNG_ENDUR

1

N

Valid

20

20

Missing

0

0

Mean

34.85

4.85

Median

33.50

5.00

Mode

27a

4a

Std. Deviation

11.198

1.424

Range

43

5

2

N

Valid

20

20

Missing

0

0

Mean

36.55

3.50

Median

36.00

3.00

Mode

22

3

Std. Deviation

12.634

1.821

Range

45

7

a. Multiple modes exist. The smallest value is shown

Questions

18 questions (worth points each)

____ / 36 points possible

SPSS Output

Six SPSS outputs (4 points each for each of the following):

A. Output—SPSS Codebook

B. Output—all ungrouped frequency distribution tables:

C. Output—descriptive/summary statistics for both exercise groups combined:

D. Output—line graphs for CHNG_ENDUR for each exercise group separately:

E. Output—pie charts for SEX for each exercise group separately:

F. Output—descriptive/summary statistics for each exercise group separately:

____ / 24 points possible

Initial Score (60 possible points):

Timeliness Factor (late points deducted):

Total Score (60 possible points):

Instructor comments:

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