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NSG 481: Biostatistics and Applied Epidemiology Quiz #1, Quizzes of Nursing

DePaul UniversityNursing

NSG 481: Biostatistics and Applied Epidemiology Quiz #1

Typology: Quizzes

2024/2025

Available from 07/07/2025

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NSG 481: Biostatistics and Applied Epidemiology
Quiz #1
Name:
1. What measurement level is the variable “Reaction Time”?
a. Nominal
b. Ordinal
c. Interval
d. Ratio
2. Statisticians use various scales to collect and/or identify data. The following is an
example of what type of scale?
Pain Intensity
0
No pain
1
Minor/little pain
2
Moderate pain
3
Severe pain
a. Nominal
b. Interval
c. Ratio
d. Ordinal
3. Someone who ranks a list of cities from slowest to fastest pace of life is operating at
the level of measurement.
a. Nominal
b. Interval
c. Ratio
d. Ordinal
4. An investigator studies how concept-formulation ability changes with age. Age is a
discrete variable.
a. True
b. False
5. What is the purpose of descriptive statistics?
a. To summarize, organize, simplify data.
b. To examine relationships between variables by measuring two different
variables for each individual.
pf3
pf4
pf5

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NSG 481: Biostatistics and Applied Epidemiology Quiz # Name:

  1. What measurement level is the variable “Reaction Time”? a. Nominal b. Ordinal c. Interval d. Ratio
  2. St atisticians use various scales to collect and/or identify data. The following is an example of what type of scale? Pain Intensity 0 No pain 1 Minor/little pain 2 Moderate pain 3 Severe pain a. Nominal b. Interval c. Ratio d. Ordinal
  3. Someone who ranks a list of cities from slowest to fastest pace of life is operating at the level of measurement. a. Nominal b. Interval c. Ratio d. Ordinal
  4. An investigator studies how concept-formulation ability changes with age. Age is a discrete variable. a. True b. False
  5. Wh at is the purpose of descriptive statistics? a. To summarize, organize, simplify data. b. To examine relationships between variables by measuring two different variables for each individual.

c. To report the discrepancy or amount of error exists between a sample statistic and the corresponding population parameter. d. To report a characteristic or condition that changes or has different values for different individuals

  1. Cent ral Tendency refers to: a. An organized tabulation of number of individuals located in each categories on the scale of measurement b. A measurement or observation c. A numerical value that describes a sample d. A statistical measure to determine a single score that defines the center of a distribution
  2. W hich of the following is not a measure of central tendency? a. Mean b. Median c. Mode d. Standard deviation
  3. Wh ich measure of central tendency will be most affected if one extremely large score is added to a distribution? a. Mean b. Median c. Mode d. Standard deviation
  4. In t he below distribution of scores, what is the mean? X f 12 3 11 0 10 1 9 1 8 1 7 1 a. 12 b. 10 (70/7=10) c. 11. d. 13.
  5. The median is represented by which score? X f 12 3

d. All of the above

  1. Which measure of central tendency represents the point of maximum frequency in a distribution? a. Mode b. Median c. Mean d. None of the above
  2. The variance and standard deviation assume: a. Nominal data b. Ordinal data c. Interval/ratio data d. A normal distribution
  3. Calculate the SS (Sum of squares) for this table using the formula (SS=∑ X^2 - [(∑

(∑ X )

2

∑ X^

  1. Calculate the sample (not population) variance for above table using the formula s 2 =

SS

n − (^1). = 6 X)^2 /n] or X

N )=

n − 1

  1. Calculate the standard deviation of the sample (not population) of scores in the

s =

SS

Wegesin and Stern (2004) found greater consistency (less variability) in the memory performance scores for younger women than for older women. The following data represent memory scores obtained for two women, one older and one younger, over a series of memory trials. Calculate the variance of the sample (not for population) for each women using the formula SS=∑ X^2 - [(∑ X)^2 /n].

  1. Younger: 8, 6, 6, 7, 8, 7, 8, 8 Sample; SS =5. s^2 = 5.58/7=0.
  2. Older: 7 ,5 8 ,5 ,7 ,6, 8, 5 Sample: SS =11. s^2 11.7/7=1.
  3. Are the scores for the younger woman more consistent (less variable?) Yes, the scores for the younger woman are more consistent and less variable than the scores of the older women. It is due to the fact that the variance for the younger women was smaller at 0.78 compared to the older women at 1.67. above table.