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Exam (elaborations) APPLIED HEALTH STATISTICS

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APPLIED_HEALTHCARE_STATISTICS_PRE_ASSESSMENT_PRACTICE_SOLUTION_2026

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APPLIED HEALTHCARE STATISTICS PRE-
ASSESSMENT PRACTICE SOLUTION 2026
QUESTIONS WITH ANSWERS GRADED A+

⩥Cochrane Collaboration. Answer: develop and disseminate systemic
reviews of healthcare interventions


⩥Florence Nightingale David. Answer: produced the first edition of
Tables of the Correlation Coefficient


⩥population. Answer: The entire group having some characteristic (eg,
all people with depression, all residents of the United States). Often a
sample is taken of the population and then the results are generalized to
that population.


⩥sample. Answer: A group selected from the population in the hope that
the smaller group will be representative of the entire population.


⩥parameter. Answer: characteristic of a population


⩥statistic. Answer: characteristic of a sample

,⩥descriptive statistic. Answer: numerical or graphical summaries of
data, and may include charts, graphs, and simple summary statistics such
as means and standard deviations to describe characteristics of a
population sample


⩥inferential statistics. Answer: statistical techniques (e.g., chi-square
test, the t test, the one-way ANOVA) that allow conclusions to be drawn
about the relationships found among different variables in a population
sample


⩥quantitative variables. Answer: a characteristic that can be measured
numerically, a characteristic with numeric values that have meaning and
for which arithmetic operations such as adding and averaging make
sense. Ex: height, weight, income, heart rate, etc.


⩥categorical variables. Answer: a characteristic that takes on values that
are names or labels.These are data that cannot be averaged or
represented by a scatter plot as they have no numerical meaning. Ex:
The color of a ball, gender, year in school.


⩥data. Answer: the raw materials of research, they provide the numbers
upon which we perform statistics


⩥variables. Answer: any characteristic that can and does assume
different values for the different people, objects, or events being studied

, ⩥random assignment. Answer: Assignment of individuals to groups by
chance (ie, every subject has an equal chance of being assigned to a
particular group).


⩥independent variable. Answer: The variable that is seen as having an
effect on the dependent variable. In experimental designs, the treatment
is manipulated.


⩥dependent variabe. Answer: The variable that measures the effect of
some other variable


⩥treatment group. Answer: the group in an experimental investigation
that is subjected to the change in the independent variable


⩥control group. Answer: In an experiment, the group that is not exposed
to the treatment; contrasts with the experimental group and serves as a
comparison for evaluating the effect of the treatment.


⩥continuous variable. Answer: A variable that can take on any possible
value within a range. For example, weight is a continuous variable
because a weight of 152.5 lb makes sense.


⩥discrete variable. Answer: number of children is a discrete variable
because it can take on only certain values (0, 1, 2, and so on). A value of
1.2 for children does not make any conceptual sense.

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