APPLIED HEALTHCARE STATISTICS EXAM
TEST BANK 2026 WITH ACTUAL CORRECT
QUESTIONS ANDVERIFIED DETAILED
ANSWERS|FREQUENTLY TESTED
QUESTIONS AND SOLUTIONS |ALREADY
GRADED A+|NEWEST|GUARANTEED
PASS|BRAND NEW VERSION!!
A way to approximate a percentage by dividing the number of times an event occurred in an
experiment by the total number of respondents in that row or column. See relative frequency.
conditional percentages
Several points are grouped together away from the majority of points in a data set.
cluster
A variable that is not included in an analysis but that is related to two (or more) other
associated variables which were analyzed.
lurking variable
The probability of rejecting the null hypothesis when it is true.
significance level
A counterintuitive situation in which a trend in different groups of data disappears or reverses
when the groups are combined.
Simpson's Paradox
The largest exponent in a mathematical expression or equation.
degree
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,A relationship of cause and effect between two or more variables.
causation
Estimation using the linear regression equation is between known data points.
linear interpolation
An entire pool from which a sample is drawn.
population
Using information from a data set to make predictions about data outside of the original set.
extrapolate
A number between -1 and 1 that indicates the relationship between the data and the regression
line. A value of 1 or -1 indicates a perfect correlation and all the data lie on the positive or
negatively sloped line.
correlation coefficient
A pattern or relationship between two variables.
association
A linear relationship between two variables. This relationship can be either positive or negative.
correlation
A tool for graphing consisting of a horizontal x-axis and a vertical y-axis.
coordinate plane
A statistical test that tell us whether a result is significant.
hypothesis test
The presumption that a given result or relationship is likely caused by more than just random
chance.
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, statistically significant
An equation used to model the relationship between two quantitative dependent and
independent variables.
regression equation
A graph that uses dots on a coordinate plane to show the relationship between variables.
scatterplot
A number whose value is one less than the sample size, when conducting a hypothesis test.
degrees of freedom
A technique for finding the regression line.
least squares
A common format for the equation of a line: y = mx + b, where m is the slope and b is the y-
intercept.
slope-intercept form
The line of best fit to show the relationship between variables, the one that minimizes distance
from each data point to the line.
regression line
A measurable difference between two groups or samples that reflects a real difference, rather
than the difference being by chance.
significant difference
The probability that a result was caused by chance.
p-value
A linear relationship between two variables in which the dependent variable increases as the
independent variable decreases.
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