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Statistics and Data Analysis for Nursing Research 2nd Edition By Polit – Test Bank 

 

Chapter 1

Introduction to Data Analysis in an Evidence-Based Practice Environment

 

1.1. Statistical skills can play an important role in nursing because they help nurses to:

  1. Calculate appropriate doses and clinical measurements
  2. Generate clinical questions

*c. Evaluate and generate research evidence for nursing practice

  1. Make better use of computers and the Internet

 

1.2. In the context of a quantitative study, a concept is called a(n):

  1. Operational definition

*b. Variable

  1. Statistic
  2. Parameter

 

1.3. An example of a variable is:

*a. Systolic blood pressure

  1. Pi (π)
  2. 52.5 kilograms
  3. Number of seconds in a minute

 

1.4. An example of a datum is:

  1. Systolic blood pressure
  2. Pi (π)

*c. 52.5 kilograms

  1. Number of seconds in a minute

 

1.5. Which of the following is not a component of a research question?

  1. An independent variable
  2. A population

*c. A sample

  1. A dependent variable

 

1.6. Identify the dependent variable in the following: In elderly men, what is the effect of chronic fatigue on level of depression?

  1. Age
  2. Sex
  3. Chronic fatigue

*d. Depression

 

1.7. Which of the following is a continuous variable?

  1. Number of pages in a book

*b. Age at death

  1. Falls during hospitalization
  2. Number of times married

 

1.8. Measurement is the assignment of numbers to characteristics of people or objects according to specified _________ . (Fill in the blank.)

*a. Rules

  1. Definitions
  2. Concepts
  3. Parameters

 

1.9. The measurement level that classifies attributes, indicates magnitude, and has equal intervals between values, but does not have a rational zero, is:

  1. Nominal
  2. Ordinal

*c. Interval

  1. Ratio

 

1.10. The measurement level that is sometimes called categorical or qualitative is:

*a. Nominal

  1. Ordinal
  2. Interval
  3. Ratio

 

1.11. It is not meaningful to calculate an arithmetic average with data from which of the following?

  1. Nominal measures
  2. Ordinal measures

*c. Nominal and ordinal measures

  1. All measures can be meaningfully averaged.

 

1.12. Degree of pain measured as none, a little, or a lot is measured on which of the following scales?

  1. Nominal

*b. Ordinal

  1. Interval
  2. Ratio

 

1.13. Body temperature is measured on which of the following scales?

  1. Nominal
  2. Ordinal

*c. Interval

  1. Ratio

 

1.14. Type of birth (vaginal or cesarean) is measured on the:

*a. Nominal scale

  1. Ordinal scale
  2. Interval scale
  3. Ratio scale

 

1.15. Which of the following is a ratio-level measure?

*a. Dietary cholesterol intake (mg)

  1. Cognitive impairment on a 50-item scale
  2. Pain on a 10-point scale
  3. Military rank

 

1.16. Ratio-level measures are different than any other level by virtue of which property?

  1. Classification
  2. Equal intervals between values

*c. A true, rational zero

  1. Indication of magnitude

 

1.17. Which level of measurement communicates the most information?

  1. Nominal
  2. Ordinal
  3. Interval

*d. Ratio

 

1.18. Researchers typically collect data from a ________ and hope to generalize their results to a _____________. (Fill in the blanks.)

  1. Population, sample
  2. Statistic, parameter
  3. Sample, statistic

*d. Sample, population

 

1.19. If the average amount of sleep for all people in the United States was 7.6 hours per night, this average would be a(n) _________ of the population of U.S. residents. (Fill in the blank.)

  1. Variable

*b. Parameter

  1. Statistic
  2. Datum

 

1.20. If a nurse researcher measured the anxiety level of 100 hospitalized children, the children’s average score on an anxiety scale would be a(n):

  1. Variable
  2. Parameter

*c. Statistic

  1. Operational definition

 

1.21. Statistical methods that are used to draw conclusions about a population are called:

*a. Inferential statistics

  1. Descriptive statistics
  2. Univariate statistics
  3. Multivariate statistics

 

 

 

Chapter 2

Frequency Distributions: Tabulating and Displaying Data

 

2.1. A major purpose of constructing a frequency distribution with sample data is to:

  1. Estimate a population parameter
  2. Test a research hypothesis

*c. Get an organized view of an entire set of scores

  1. Get experience with statistical software

 

2.2. In a frequency distribution, the two key informational components are:

*a. Score values (X), frequencies (f)

  1. A horizontal (X) axis, a vertical (Y) axis
  2. Frequencies (f), percentages (%)
  3. Participant ID number (id), score values (X)

 

2.3. In a frequency distribution, which of the following is true?

  1. Σ N = %
  2. Σ N = f
  3. Σ f = %

*d. Σ f = N

 

2.4. In the equation Σ % = 100.0, the symbol Σ signifies:

  1. A percentage

*b. The sum of

  1. A data value
  2. A frequency

 

2.5. In a frequency distribution, percentages are sometimes called:

  1. Proportions
  2. Relative proportions

*c. Relative frequencies

  1. Cumulative proportions

 

2.6. Data for which of the following variables is most likely to be presented in a grouped frequency distribution?

  1. Nursing specialty area

*b. Daily cholesterol intake

  1. Number of abortions
  2. Number of pets owned

 

2.7. The level of measurement for data appropriately presented in a bar graph is:

  1. Interval or ratio
  2. Nominal only
  3. Interval only

*d. Nominal or ordinal

 

2.8. In a frequency distribution graph, frequencies are typically presented on the ____ and data values are presented on the ____________.   (Fill in the blanks.)

*a. Y axis, X axis

  1. X axis, Y axis
  2. f axis, N axis
  3. N axis, f axis

 

2.9. Which of the following sets of data is not unimodal?

*a. 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 5, 5, 5, 5, 5, 5, 5, 5

  1. 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 4, 4, 4, 4
  2. 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 3, 4, 5
  3. 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 5, 5, 5, 6, 6, 7, 7, 8, 8, 9, 9

 

2.10. Which of the following variables is most likely to be negatively skewed in a general population?

  1. Number of times arrested

*b. Age at retirement

  1. Number of times married
  2. Age at birth

 

2.11. A normal distribution is not:

  1. Skewed
  2. Leptokurtic
  3. Platykurtic

*d. All of the above

 

2.12. A wild code is:

*a. A value that is impossible given the coding scheme

  1. An outlier or high value
  2. A code for which there is a very low frequency
  3. A code for which there is a very high frequency

 

The next eight questions pertain to the following table (Table 2):

 

Table 2

Number of Pregnancies of Study Participants Frequency Percentage Cumulative Percentage
0 24 11.1 11.1
1 29 13.5 24.6
2 78 36.3 60.9
3 46 21.4 82.3
4 22 10.2 92.5
5 11 5.1 97.6
6 4 1.9 99.5
7 1 0.4 100.0
Total 215 100.0

2.13 In Table 2, the variable is _______ and the measurement level is _________.  (Fill in the blanks.)

  1. Discrete, interval

*b. Discrete, ratio

  1. Continuous, interval
  2. Continuous, ratio

 

2.14. Table 2 is an example of a:

*a. Frequency distribution

  1. Grouped frequency distribution
  2. Class interval
  3. Data matrix

 

2.15. In Table 2, the value of N is:

  1. 24
  2. 100.0

*c. 215

  1. 7

 

2.16. In Table 2, the cumulative relative frequency for five or fewer pregnancies is:

  1. 210
  2. 199
  3. 92.5

*d. 97.6

 

2.17. The best way to graph information in Table 2 would be to construct:

*a. A histogram

  1. A pie chart
  2. A bar graph
  3. Either a pie chart or a bar graph

 

2.18. In Table 2, the distribution of data would be described as:

  1. Symmetric

*b. Positively skewed

  1. Negatively skewed
  2. It cannot be determined.

 

2.19. In Table 2, the distribution of data would be described as:

*a. Unimodal

  1. Bimodal
  2. Multimodal
  3. It cannot be determined.

 

2.20. In Table 2, the most likely number to be an outlier is:

  1. 0
  2. 1

*c. 7

  1. 24

Chapter 3

Central Tendency, Variability, and Relative Standing

 

3.1. A distribution of data values can be described in terms of all of the following characteristics except:

  1. Central tendency
  2. Variability

*c. Relative standing

  1. Shape

 

3.2. Central tendency indexes are all of the following except which of the following statements?

  1. They are descriptive statistics.

*b. They summarize how dispersed a set of scores is.

  1. They provide information about a value around which scores cluster.
  2. They are appropriate for interval- and ratio-level measures.

 

3.3. In the following distribution (10  11  12  13  14  15  15  15  15) the mode is:

  1. 11
  2. 12
  3. 14

*d. 15

 

3.4. In the following distribution (10  11  12  13  14  15  15  15  15) the median is:

  1. 11
  2. 12

*c. 14

  1. 15

 

3.5. The median is all of the following except:

  1. The 50th percentile
  2. The point that divides a distribution in half
  3. Q2

*d. The most popular score in the distribution

 

3.6. For which of the following set of numbers are the mean, median, and mode the same value?

*a.  1  2  3  3  4  4  4  4  4  5  5  6  7

  1. 1 1 2  2  3  3  4  4  5  5  6  6  7  7
  2. 1 1 1  2  3  3  4  4  5  5  6  7  7   7
  3. All of the above

 

3.7. In which type of distribution is the mean a higher value than the median or mode?

  1. A leptokurtic distribution

*b. A positively skewed distribution

  1. A negatively skewed distribution
  2. A normal distribution

 

 

3.8. If there are outliers at either end of a distribution that is symmetric, a researcher might:

*a. Calculate a trimmed mean

  1. Report the median rather than the mean
  2. Report the mode rather than the mean
  3. Omit the variable from further analyses

 

3.9. Which of the following indexes of dispersion is not in the original units of measurement of the variable?

  1. Range
  2. Interquartile range
  3. Standard deviation

*d. Variance

 

3.10. Which of the following indexes of dispersion tends to be least stable—most likely to fluctuate from one sample to another from the same population?

*a. Range

  1. IQR
  2. Standard deviation
  3. Variance

 

3.11. Which of the following indexes involves the calculation of deviation scores (x)?

  1. Range
  2. IQR

*c. SD

  1. M

 

3.12. Which of the following indexes involves the calculation of percentiles?

  1. z

*b. IQR

  1. SD
  2. M

 

3.13. Which of the following statistical symbols does not belong with the others?

  1. SD
  2. IQR
  3. M

*d. μ

 

3.14. What percentage of cases for a normally distributed variable lies within 1 SD above and below the mean?

  1. 34%
  2. 50%

*c. 68%

  1. 95%

 

3.15. In calculating standard scores, which two descriptive statistics are needed?

  1. Median, IQR
  2. Median, percentiles
  3. Mean, Range

*d. Mean, SD

 

3.16. A z score of 0.00 corresponds to an original score that:

  1. Could not be used in the calculation of the mean

*b. Is the same as the mean in the original distribution

  1. Is the lowest score in the original distribution
  2. Is an outlier

 

3.17. A z score of -1.00 corresponds approximately to a score for a normally distributed variable that is at the:

  1. 1st percentile
  2. 10th percentile

*c. 16th percentile

  1. 84th percentile

 

3.18. An extreme outlier is:

  1. More than 3 SDs above the mean
  2. Equivalent to a z score of -3.0 or lower, or +3.0 or higher
  3. More than three times the value of the mean

*d. More than 3 times the IQR, below Q1 or above Q3

 

3.19. In a boxplot, information about a distribution is depicted in terms of:

*a. Percentiles

  1. Standard deviation units
  2. z scores
  3. T scores

 

3.20. The number 100 can always be thought of as:

  1. A mean of a distribution when the SD is 15
  2. A value equivalent to the 10th percentile

*c. A number whose real limits are 99.5 and 100.5

  1. An outlier

 

Questions 3.21 through 3.25 pertain to the following table (Table 3):

 

Table 3

Characteristics of Chemotherapy Patients (N =100)

 

Characteristic M (SD) Mdn
Age (years) 48.9   (9.8) 47.0
Body mass index (BMI) (kg/m2) 27.0  (6.0) 25.1
Number of positive nodes 3.4   (2.9) 2.0
Dose of cyclophosphamide (mg) 1063.0  (477.0) 1250.0
Dose of doxorubicin (mg) 125.0  (53.0) 125.0
Degree of nausea, 0-100 scale 52.1   (25.0) 52.0

 

3.21. Refer to Table 3. For the variable body mass index, the variance is:

  1. 27.0
  2. 27.02
  3. 6.0

*d. 36.0

 

3.22. Refer to Table 3. For the variable number of positive nodes, the statistics suggest that the distribution is:

*a. Positively skewed

  1. Negatively skewed
  2. Symmetric
  3. Normal

 

3.23. Refer to Table 3. Assume that the distribution for the variable degree of nausea is normally distributed. In such a case, out of the 100 sample members, approximately how many gave a nausea rating of 77 or higher?

  1. 0
  2. 3

*c. 16

  1. 34

 

3.24. Refer to Table 3. Which variable in Table 3 is most likely to be negatively skewed?

  1. Age
  2. Body mass index

*c. Dose of cyclophosphamide

  1. Dose of doxorubicin

 

3.25. Refer to Table 3. For the variable body mass index, what would be the standard score for a person whose BMI was 21.0?

*a. -1.0

  1. 0.0
  2. 1.0
  3. 2.0