Analytical Methods of Healthcare Leaders - D514
Questions with CORRECT Answers (Grade A+)
Question 1:
variable
Answer:
Data that is observed or measured. It can be categorical, quantitative/numerical, independent, or
dependent
Question 2:
categorical variables
Answer:
variables that are counted can be nominal and ordinal
Question 3:
nominal data
Answer:
data variables that are "named" qualitative in nature describes a characteristic of interest ex: gender,
eye color
Question 4:
ordinal data
Answer:
data that has an inherent order to the relationship among different categories distance is largely
unknown but can be implied ex: stages of cancer or alzheimer's
Question 5:
quantitative/numerical (interval)
Answer:
have constant, equal distance between values but the zero point is arbitrary ex: IQ scores, pain scales,
temperature
, Question 6:
quantitative/numerical (ratio)
Answer:
have equal intervals between values zero point is meaningful numerical relationship between points
have meaning ex: weight, pulse rate, respiratory rate
Question 7:
independent variables
Answer:
stands alone unchanged by other variables ex: age
Question 8:
dependent variables
Answer:
depends on other factors affected by independent variable ex: test scores
Question 9:
two sample t-test quantitative
Answer:
groups of similar subjects two different interventions results are compared; conclusions are drawn
Question 10:
one sample t-test quantitative
Answer:
compares your sample to known value of trustworthy source
Question 11:
paired t-test
Answer:
looks for differences within the same group at different points in time
Questions with CORRECT Answers (Grade A+)
Question 1:
variable
Answer:
Data that is observed or measured. It can be categorical, quantitative/numerical, independent, or
dependent
Question 2:
categorical variables
Answer:
variables that are counted can be nominal and ordinal
Question 3:
nominal data
Answer:
data variables that are "named" qualitative in nature describes a characteristic of interest ex: gender,
eye color
Question 4:
ordinal data
Answer:
data that has an inherent order to the relationship among different categories distance is largely
unknown but can be implied ex: stages of cancer or alzheimer's
Question 5:
quantitative/numerical (interval)
Answer:
have constant, equal distance between values but the zero point is arbitrary ex: IQ scores, pain scales,
temperature
, Question 6:
quantitative/numerical (ratio)
Answer:
have equal intervals between values zero point is meaningful numerical relationship between points
have meaning ex: weight, pulse rate, respiratory rate
Question 7:
independent variables
Answer:
stands alone unchanged by other variables ex: age
Question 8:
dependent variables
Answer:
depends on other factors affected by independent variable ex: test scores
Question 9:
two sample t-test quantitative
Answer:
groups of similar subjects two different interventions results are compared; conclusions are drawn
Question 10:
one sample t-test quantitative
Answer:
compares your sample to known value of trustworthy source
Question 11:
paired t-test
Answer:
looks for differences within the same group at different points in time