BYU STAT 121 Exam Questions Verified
Answers Latest Update 2025
the commonality between slope and correlation coefficient - ANS both have the same sign
conditional distribution - ANS a distribution computed from only one row or one column of a
2-way table
a distribution computed from the row totals or the column totals - ANS marginal distribution
how the conditional distributions compare when an association exists between the
explanatory and response variables - ANS they are different
Simpson's paradox - ANS a reversal in the association between 2 variables depending
on whether a 3rd variable is considered or ignored.
conditional distribution - ANS percentages found by dividing the counts in a row by the row
total (or counts in a column by the column total)
the name of the statement telling us that the sampling distribution of x (mean) is
approximately normal whenever the sample is large and random - ANS Central Limit Theorem
sampling distribution - ANS a list of the possible values of a statistic together with the frequency
(or probability) of each value.
the shape of a sampling distribution of mean (x) when the sample is random from a non-Normal
population and the sample size is large - ANS approximately Normal
, the symbol for the standard deviation of the theoretical sampling distribution of the mean (x) -
ANS sigma / square root of n
the value of the mean of the theoretical sampling distribution of the mean (x) - ANS mu
a measure of the variability of the sampling distribution of mean (x) - ANS standard deviation
of the sampling distribution of x (mean)
shape of the sampling distribution of the mean (x)when the sample is small and
randomly selected from a Normal population - ANS Normal
a measure of the variability of the sampling distribution of the mean (x) - ANS
Standard deviation of the sampling distribution of the mean (x)
a measure of the center of the sampling distribution of x (mean) - ANS mu, or mean of the
sampling distribution of x
Law of Large Numbers - ANS the name of the fact that the average of the data in a sample
will get closer and closer to the population mean as we increase the sample size
parameter - ANS a characteristic of a population that is usually unknown
sample - ANS a subset of the population
parameter symbols - ANS mu, sigma, and "p"
inference - ANS using results from a sample to draw conclusions about the entire population
Answers Latest Update 2025
the commonality between slope and correlation coefficient - ANS both have the same sign
conditional distribution - ANS a distribution computed from only one row or one column of a
2-way table
a distribution computed from the row totals or the column totals - ANS marginal distribution
how the conditional distributions compare when an association exists between the
explanatory and response variables - ANS they are different
Simpson's paradox - ANS a reversal in the association between 2 variables depending
on whether a 3rd variable is considered or ignored.
conditional distribution - ANS percentages found by dividing the counts in a row by the row
total (or counts in a column by the column total)
the name of the statement telling us that the sampling distribution of x (mean) is
approximately normal whenever the sample is large and random - ANS Central Limit Theorem
sampling distribution - ANS a list of the possible values of a statistic together with the frequency
(or probability) of each value.
the shape of a sampling distribution of mean (x) when the sample is random from a non-Normal
population and the sample size is large - ANS approximately Normal
, the symbol for the standard deviation of the theoretical sampling distribution of the mean (x) -
ANS sigma / square root of n
the value of the mean of the theoretical sampling distribution of the mean (x) - ANS mu
a measure of the variability of the sampling distribution of mean (x) - ANS standard deviation
of the sampling distribution of x (mean)
shape of the sampling distribution of the mean (x)when the sample is small and
randomly selected from a Normal population - ANS Normal
a measure of the variability of the sampling distribution of the mean (x) - ANS
Standard deviation of the sampling distribution of the mean (x)
a measure of the center of the sampling distribution of x (mean) - ANS mu, or mean of the
sampling distribution of x
Law of Large Numbers - ANS the name of the fact that the average of the data in a sample
will get closer and closer to the population mean as we increase the sample size
parameter - ANS a characteristic of a population that is usually unknown
sample - ANS a subset of the population
parameter symbols - ANS mu, sigma, and "p"
inference - ANS using results from a sample to draw conclusions about the entire population
