ACCURATE & VERIFIED ANSWERS
Adult diastolic blood pressures are normally distributed. The mean is 65.3 mm Hg and the
standard deviation is 11.3 mm Hg. What values would 95%95% of the data fall between? The
answer is c. Use the Empirical Rule to determine that 95%95% of the diastolic blood pressure
values will be within two standard deviations of the mean.
Therefore, the upper limit will be:
65.3+2(11.3) =65.3+22.6=87.965.3+2(11.3) =65.3+22.6=87.9
And the lower limit will be:
65.3−2(11.3)=65.3−22.6=42.765.3-2(11.3)=65.3-22.6=42.7
Therefore, 95%95% of the diastolic blood pressures will be between 42.742.7 mm Hg and 87.987.9
mm Hg.
a) 47.2 and 89.7
b) 42.2 and 86.9
c) 42.7 and 87.9
d) 41.6 and 86.8
3) Assuming that adult diastolic blood pressures are normally distributed, what is the approximate
percentage of adults who have diastolic blood pressures within 11 standard deviation of the mean, or
between 54.0mm Hg and 76.6 mm Hg?The answer is d. The range is the difference between the
smallest and greatest values (maximum and minimum) of a data set. The minimum value is 48; the
maximum is 84. 84 -48 = 36
a) 50%
,b) 68%
c) 95.4%
d) 99.7%
4) What is the range of the following data set? The answer is d. The range is the difference between
the smallest and greatest values (maximum and minimum) of a data set. The minimum value is 48; the
maximum is 84. 84 -48 = 36
a) 26
b) 28
c) 32
d) 36
5) What is the mean of the following data set? The answer is a. To find the mean, the first step is to
add all of the values together. Then divide that sum (784) by the number of values in the data set
(12) . 78/412=65.3
, a) 65.3
b) 69.2
c) 61.6
d) 64.4
6) What is second quartile (Q2Q2) of this data set? The answer is c. As there are an even number of
data points in this data set, the median is half-way between 125 and 125. Therefore, the second
quartile (Q2), also called the median, =125.
a) 123
b) 124
c) 125
d) 125.5