WGU D514 ANALYTICAL METHODS OF
HEALTHCARE LEADERS ACTUAL TEST
PAPER COMPLETE ANSWER GUIDE
GUARANTEED TO PASS REVIEW MATERIAL
⩥ categorical variables.
Answer: variables that are counted
can be nominal and ordinal
⩥ nominal data.
Answer: data variables that are "named"
qualitative in nature
describes a characteristic of interest
ex: gender, eye color
⩥ 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
⩥ quantitative/numerical (interval).
, Answer: have constant, equal distance between values but the zero point
is arbitrary
ex: IQ scores, pain scales, temperature
⩥ 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
⩥ independent variables.
Answer: stands alone
unchanged by other variables
ex: age
⩥ dependent variables.
Answer: depends on other factors
affected by independent variable
ex: test scores
⩥ two sample t-test.
Answer: quantitative
HEALTHCARE LEADERS ACTUAL TEST
PAPER COMPLETE ANSWER GUIDE
GUARANTEED TO PASS REVIEW MATERIAL
⩥ categorical variables.
Answer: variables that are counted
can be nominal and ordinal
⩥ nominal data.
Answer: data variables that are "named"
qualitative in nature
describes a characteristic of interest
ex: gender, eye color
⩥ 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
⩥ quantitative/numerical (interval).
, Answer: have constant, equal distance between values but the zero point
is arbitrary
ex: IQ scores, pain scales, temperature
⩥ 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
⩥ independent variables.
Answer: stands alone
unchanged by other variables
ex: age
⩥ dependent variables.
Answer: depends on other factors
affected by independent variable
ex: test scores
⩥ two sample t-test.
Answer: quantitative