QNT 2020 Midterm Exam Review Questions
and Answers
A frequency distribution - ANS-is a grouping of n data values into classes called
bins.
A frequency distribution usually has equal bin widths. - ANS-TRUE; Unequal bins
are possible, but rare
Symmetric - ANS-If the mean and median of a population are the same, then its
distribution is
Symmetric - ANS-Being equal or the same in size, shape, and relative position
In a left-skewed distribution - ANS-we expect that the median will be greater than
the mean.
In Right-Skewed distribution - ANS-we expect that the median will be less than the
mean.
Chebyshev's Theorem - ANS-A theorem that can be used to make statements about
the proportion of data values that must be within a specified number of standard
deviations of the mean; applies all samples
At least 75%.From 75% and 100 - ANS-Chebyshev's Theorem says that at most
______ percent of the data lie within 2 standard deviations of the mean.
population variance - ANS-equals the mean squared deviation; the average squared
distance from the mean
assess the shape of the distribution - ANS-Histograms are best used to
If population is higher the median - ANS-It is skewed to the right
Exponential Distribution - ANS-is used to describe data where lower values tend to
dominate and higher values don't occur very often.
uniform distribution - ANS-Distribution where populations are spaced
evenlyconsistent; unchanging; the same for everyone
Poisson Distribution - ANS-a discrete probability distribution describing the
likelihood of a particular number of independent events within a particular interval
normal distribution - ANS-a bell-shaped curve, describing the spread of a
characteristic throughout a population; is systematic
and Answers
A frequency distribution - ANS-is a grouping of n data values into classes called
bins.
A frequency distribution usually has equal bin widths. - ANS-TRUE; Unequal bins
are possible, but rare
Symmetric - ANS-If the mean and median of a population are the same, then its
distribution is
Symmetric - ANS-Being equal or the same in size, shape, and relative position
In a left-skewed distribution - ANS-we expect that the median will be greater than
the mean.
In Right-Skewed distribution - ANS-we expect that the median will be less than the
mean.
Chebyshev's Theorem - ANS-A theorem that can be used to make statements about
the proportion of data values that must be within a specified number of standard
deviations of the mean; applies all samples
At least 75%.From 75% and 100 - ANS-Chebyshev's Theorem says that at most
______ percent of the data lie within 2 standard deviations of the mean.
population variance - ANS-equals the mean squared deviation; the average squared
distance from the mean
assess the shape of the distribution - ANS-Histograms are best used to
If population is higher the median - ANS-It is skewed to the right
Exponential Distribution - ANS-is used to describe data where lower values tend to
dominate and higher values don't occur very often.
uniform distribution - ANS-Distribution where populations are spaced
evenlyconsistent; unchanging; the same for everyone
Poisson Distribution - ANS-a discrete probability distribution describing the
likelihood of a particular number of independent events within a particular interval
normal distribution - ANS-a bell-shaped curve, describing the spread of a
characteristic throughout a population; is systematic
