HCA QUIZ #3 (DAY 4) WITH
COMPLETE QUESTIONS AND
ANSWERS GRADED A+ 2026
VERIFIED
◉ Marginal probability is the probability of the occurrence of a _____
outcome.
a) single
b) random
c) objective
d) corresponding.
Answer: a) single
◉ The ________ binomial function always accumulates from the lowest
number of the index value to the highest.
a) transitory
b) proportional
c) cumulative
d) None of the above.
Answer: c) cumulative
, ◉ Discrete distributions contain a finite or___________ number of
values. Continuous distributions contain an infinite or___________
number of values..
Answer: countable, noncountable (it had the original 2nd answer as non-
countable even though the text says "noncountable")
◉ All statistics are based on ________.
a) sampling and populations
b) research
c) probability
d) outcomes.
Answer: c) probability
◉ Mutual exclusivity means that only one _____ in a sample space can
occur at a time..
Answer: event
◉ Because the normal distribution looks like a bell, both sides of the
distribution have exactly equal probabilities.
a) values
b) standard deviations
c) variables
COMPLETE QUESTIONS AND
ANSWERS GRADED A+ 2026
VERIFIED
◉ Marginal probability is the probability of the occurrence of a _____
outcome.
a) single
b) random
c) objective
d) corresponding.
Answer: a) single
◉ The ________ binomial function always accumulates from the lowest
number of the index value to the highest.
a) transitory
b) proportional
c) cumulative
d) None of the above.
Answer: c) cumulative
, ◉ Discrete distributions contain a finite or___________ number of
values. Continuous distributions contain an infinite or___________
number of values..
Answer: countable, noncountable (it had the original 2nd answer as non-
countable even though the text says "noncountable")
◉ All statistics are based on ________.
a) sampling and populations
b) research
c) probability
d) outcomes.
Answer: c) probability
◉ Mutual exclusivity means that only one _____ in a sample space can
occur at a time..
Answer: event
◉ Because the normal distribution looks like a bell, both sides of the
distribution have exactly equal probabilities.
a) values
b) standard deviations
c) variables
