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Qualified Medicare Beneficiary (QMB) 3200 Exam with All 125 Questions and 100% Correct Answers
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Qualified Medicare Beneficiary (QMB) 3200 Exam with All 125 Questions and 100% Correct Answers
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Name: Score:125 Multiple choice questions
Term 1 of 125
Foundation of statistics
equal
=quartile.exc
data
mode
Term 2 of 125
involves conducting an experiment to observe the frequency with which an event occurs
sample covariance
probability distribution
sample correlation coefficient
empirical probability
Term 3 of 125
excel function for expected value of discrete variable (mu)
=Poisson.Dist
true for cumulative probability
false for probability mass function
norm.s.dist
=combin
=sumproduct
,Term 4 of 125
occurrence of one event affects the occurrence of another event
Marital Status
Political Party
Eye color
dependent
Bayes' Theorem
experiment
Term 5 of 125
measures the direction of the linear relationship between two variables
correlation
covariance
dependent variable
sample covariance
Term 6 of 125
excel functions for the sample standard deviation
=percentile.exc
=stdev.s
=combin
=norm.s.inv
,Term 7 of 125
excel function used to compute the z value given a cumulative probability
=Poisson.Dist
true for cumulative probability
false for probability mass function
norm.s.dist
=var.s
=norm.s.inv
Term 8 of 125
Examples of Counted Quantitative Data
cumulative relative frequency distribution
coefficient of variation CV
number of children
defects per hour
categorical data
sometimes referred to as qualitative data
Term 9 of 125
collecting, summarizing, and displaying data
majority of statistics encountered in everyday life
descriptive statistics
empirical probability
inferential statistics
measures of relative position
, Term 10 of 125
listing of all possible outcomes of an experiment for a discrete random variable along with the
relative frequency of each outcome
along with the relative frequency of each outcome
discrete probability distribution
discrete random variables
subjective probability
discrete data
Term 11 of 125
values that can take on any real number, including numbers that contain decimal points
usually measured rather than counted
ex. weight, time, distance
continuous data
standard deviation
biased sample
continuous random variable
Term 12 of 125
indicates both the strength and direction of the linear relationship between the independent
and dependent variables
sample correlation coefficient
measures of variability
expected monetary value (EMV)
discrete probability distribution
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