Answer:
a) At least 75% of the scores lie within 2 standard deviations of the mean.
b) The approximate value of the standard deviation would be 9.9.
Step-by-step explanation:
Normal distribution:
Empirical rule, which states that:
68% of the measures are within 1 standard deviation of the mean.
95% of the measures are within 2 standard deviation of the mean.
99.7% of the measures are within 3 standard deviations of the mean.
Non-normal distribution:
Chebyshev Theorem, which states that:
At least 75% of the measures are within 2 standard deviations of the mean.
At least 89% of the measures are within 3 standard deviations of the mean.
An in general terms, the percentage of measures within k standard deviations of the mean is given by
.
A) According to Chebyshev theorem, at least (56%,75%,84% 89% Pick which one) or the scores lie within 2 standard deviations of the mean 50.4.
At least 75% of the scores lie within 2 standard deviations of the mean.
B) Suppose that the distribution is bell-shaped. If approximatly 68% of the scores lie between 40.5 and 60.3, then the approximate value of the standard deviation for the distribution, according to the empirical rule is
68% of the scores lie within 1 standard deviation of the mean.
This means that the standard deviation can be given by:
(60.3 - 40.5)/2 = 9.9
The approximate value of the standard deviation would be 9.9.