Question

In: Statistics and Probability

Denny studied the effect of postural change on cardiovascular reactivity in a sample of healthy men...

Denny studied the effect of postural change on cardiovascular reactivity in a sample of healthy men and women. Change in systolic blood pressure (SBP) from supine to standing position was used as the measure of cardiac reactivity in a sample of 842 adults. Supine measurement of blood pressure was taken after participants had lain on an examination table for 15 minutes. Blood pressure was determined every 20 seconds using a Dinamap device for 2 minutes, and the 6 measurements were averaged. Participants then stood up immediately, and additional measurements were made for another 2 minutes. Below is a table describing the characteristics of Denny’s sample.

Table 1. Characteristics of the Study Sample (N = 842)

Sample Characteristic

Frequency (N)

Percentage   or Mean (SD)

Range

Gender

     Female

     Male

408

434

   48.5%

   51.5%

Age (years)

     60 and older

842

101

                        55.1 (5.3)

   16.2%

44–67

Race/ethnicity

     White, not Hispanic

     African American

701

141

   83.3%

   16.7%

Smoking status

   Nonsmoker

   Smokes <1 pack/day

   Smokes >1 pack/day

698

91

53

   82.9%

   10.8%

    6.3%

BMI

     >25 (overweight)

831

295

                        24.9 (4.1)

   35.5%

18.1–36.3

   Short Answer Questions

a. Which variables in the table, if any, were measured on a nominal scale?

b. Which variables in the table, if any, were measured on an ordinal scale?

c. Which variables in the table, if any, were measured on an interval scale?

d. Which variables in the table, if any, were measured on a ratio scale?

e. Which measure(s) of central tendency, if any, are presented in this table?

f. Which measure(s) of variability, if any, are presented in this table?

g. If age were normally distributed, approximately what percentage of the sample would be younger than 50?

h. If BMI were normally distributed, approximately what percentage of the sample would have a BMI higher than 33?

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