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Week 1 Assignment

 

1. For each of the following (a through d), indicate which is a variable and which is a constant:
2. The number of minutes in an hour. Constant
3. Systolic blood pressure Variable
4. Blood type Constant
5. The number of days in a week Constant

 

2. For each of the following research questions, identify the independent variable and the dependent variable within each case (a through e):
3. Does a person’s age affect psychological adjustment following burn

injury?

IV: Person’s age effect psychological adjustment

DV: Psychological adjustment

 

1. How do physically handicapped children differ from nonhandicapped children with respect to health concepts?

IV: Difference between a handicapped and non-handicapped child

DV: Health conflicts

 

1. Do patients who administer their own pain medication have lower pain ratings than patients whose pain medication is administered by a nurse?

IV: Self-administration vs The Nurse (who administer the medication)

DV: Pain rating

 

1. Does the state a person lives in affect their weight?

IV: State

DV: Weight

1. How does a bonnet compare to a stockinette in preventing heat loss in newborns?

IV: Comparing bonnet and Stokinette

DV: Preventing heat lost

 

 

3. For each of the variables listed below, indicate which is discrete and which is continuous:
4. Number of patients in an ICU ward.
5. Length of a chin implant
6. HDL cholesterol reading
7. Amount of time spent sleeping Continuous
8. Body temperature measured in Fahrenheit
9. Self-esteem as measured on a 10-question scale Discrete
10. Number of conjoined twins born in a year in a hospital

 

4. For each of the variables listed below, indicate whether the measure is nominal, ordinal, interval, or ratio:
5. Degrees, on the Celsius scale
6. Student’s class rank
7. Number of cancerous lymph nodes detected in a patient
8. Respiratory rate
9. Religious preference
10. Military rank
11. Type of delivery (vaginal vs cesarean)
12. IQ test score

 

5. The following data represent the number of times that a sample of residents in nursing homes who were aged 80 or older fell during a 12 month period.

 

3          3          4          1          0          2          0          1          2          0

4          0          0          3          2          6          0          0          0          1

0          2          1          0          1          1          3          2          1          0

1          3          1          1          0          4          6          7          0          1

 

Construct a frequency distribution for this set of data, showing the absolute frequencies, relative frequencies, and cumulative relative frequencies.

 

6. Using information from the frequency distribution in Exercise 5, answer the following:
7. What percentage of the nursing home residents had at least 1 fall?
8. What number of falls was the most frequent in this sample?
9. What number of falls was least frequent in this sample?
10. What percentage of residents had 2 or fewer falls?
11. What is the total size of the sample?
12. Are there any outliers in this data set?

 

7. Would it be advantageous to group the data in Exercise 5 before constructing a frequency distribution? Why or why not?

 

8. Draw a graphic of the frequency distribution of the data in Exercise 5 using StatCrunch. Copy and Paste your graphic from StatCrunch into your Word document submission.  Describe the shape of the frequency distribution in terms of modality and skewness.  Is the number of falls normally distributed?

 

9. The following set of numbers represent the scores of 30 psychiatric inpatients on a widely used measure of depression. What are the mean, median, and mode for these data?

 

41        27        32        24        21        28        22        25        35        27

31        40        23        27        29        33        42        30        26        30

27        39        26        34        28        38        29        36        24        37

 

If the values of the mean, median, and mode are not the same, discuss what this suggests about the shape of the distribution.  Construct a Graphic of the distribution of this data using StatCrunch to prove your point.  Copy and Paste your graphic from StatCrunch into your Word document submission.

 

10. The following 10 data values are systolic blood pressure readings. Compute the mean, range, standard deviation, and variance for these data using StatCrunch.  Copy and Paste your work from StatCrunch into your Word document submission.

 

130      125      160      120      170

120      150      140      160      140

 

11. For each blood pressure in Exercise 10, compute a Z score.

 

12. The following data designate whether patients in two groups (experimental and control) complied with a medication regimen. The experimental group participated in an intervention designed to promote perceived mastery over health events:

 

Control group

Patient #	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15
Complied	yes	no	no	no	yes	yes	no	no	no	no	yes	yes	no	no	no

Experimental group

Patient #	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30
Complied	yes	yes	no	yes	yes	yes	no	yes	no	no	yes	yes	no	no	yes

 

Using StatCrunch, construct a contingency table for these data, computing both row and column percentages for each of the four cells. Copy and Paste your StatCrunch table into your Word document submission.

 

13. Below are the values for diastolic and systolic blood pressure for 10 people:

 

Diastolic:         90     80     90     78     76     78    80     70     76     74

Systolic:        130   126   140   118   114   112   120   110   114   116

 

Using StatCrunch, construct a scatterplot that shows the relationship between the two variables.  Copy and Paste your work from StatCrunch into your Word document submission. Verbally describe the direction and magnitude of the relationship.

 

14. Compute the correlation coefficient (Pearson’s r) in StatCrunch to summarize the relationship for the data presented in Exercise 13. How accurate was your description?

 

15. Below are Global carbon dioxide concentrations and the measured change in Global temperature (Temperature Anomaly) for an 11 year period in our recent past:

 

YEAR	CO2  Concentration (ppm)	Temperature Anomaly (ºC)
1981	339.93	.043
1982	341.13	.022
1983	342.78	.097
1984	344.42	.074
1985	345.90	.091
1986	347.15	.066
1987	348.93	.267
1988	351.48	.155
1989	352.91	.267
1990	354.19	.509
1991	355.59	.430

 

Using StatCrunch, construct a scatterplot that shows the relationship between the two variables (carbon dioxide concentrations and the measured change in Global temperature). Calculate the r value using StatCrunch.  Copy and Paste your work from StatCrunch into your Word document submission. Verbally describe the direction and magnitude of the relationship you find.  What does this tell you about Global warming?