
Concept explainers
a.
Compute the
a.

Answer to Problem 108CE
The mean is approximately 68.33.
Explanation of Solution
Calculation:
It is given that the distribution of scores on a statistics exam follows triangular distribution with lower limit 50,
Triangular distribution:
A continuous random variable X is said to follow triangular distribution if the probability density
where a, b and c are the lower limit, mode and upper limit, respectively.
Mean of a Triangular distribution is defined as,
It is given that,
Thus, the mean of the Triangular distribution is,
Therefore, the mean is 68.33.
b.
Compute the standard deviation.
b.

Answer to Problem 108CE
The standard deviation is 9.65.
Explanation of Solution
Calculation:
The standard deviation of a Triangular distribution is defined as,
It is given that,
Thus, the standard deviation of the Triangular distribution is,
Therefore, the standard deviation of the Triangular distribution is 9.65.
c.
Compute the probability that a score will be less than 75.
c.

Answer to Problem 108CE
The probability that a score will be less than 75 is 0.746.
Explanation of Solution
Calculation:
The cumulative distribution function (CDF) of a Triangular distribution is defined as,
Assume that the random variable X denotes the scores of Statistics exam.
It is given that,
Hence, the CDF of the Triangular distribution will be,
Thus, the probability that a score will be less than 75 is,
Therefore, the probability that a score will be less than 75 is 0.746.
d.
Draw the distribution and shade the area for the
d.

Answer to Problem 108CE
The shaded sketch is obtained as:
Explanation of Solution
Calculation:
It is given that,
Graphical Procedure:
Step by step procedure to obtain the sketch is given below:
- Draw a left skewed triangle with base from the lower limit 50 to upper limit 95 and with the height at the mode of 60.
- Shade the left side area from the mode of 75.
The shaded sketch is obtained as:
The shaded area in the sketch is the event in part (c).
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Chapter 7 Solutions
Applied Statistics in Business and Economics
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