U.S. consumers are increasingly viewing debit cards as a convenient substitute for cash and checks. The average amount spent annually on a debit card is $7,070 (Kiplinger’s, August 2007). Assume that the average amount spent on a debit card is normally distributed with a standard deviation of $500.
A consumer advocate comments that the majority of consumers spend over $8,000 on a debit card. Find a flaw in this statement. (Round "z-value" to 2 decimal places and final answer to 4 decimal places.) |
The proportion of consumers who spend over $8,000 |
b. |
Compute the 25th percentile of the amount spent on a debit card. (Round "z-value" to 2 decimal places.) |
25th percentile |
c. |
Compute the 75th percentile of the amount spent on a debit card. (Round "z-value" to 2 decimal places.) |
75th percentile |
d. |
What is the interquartile range of this distribution? (Round "z-value" to 2 decimal places.) |
Solution: We are given:
Let X be the amount spent annually on a debit card
a. The proportion of consumers who spend over $8,000
Answer: We have to find
Find we need to find the z score corresponding to
We know that:
Now we have to find . Using the standard normal table, we have:
Therefore, the proportion of of consumers who spend over $8,000 is
b. Compute the 25th percentile of the amount spent on a debit card.
Answer: We need to first find the z value corresponding to probability 0.25
Using the standard normal table, we have:
Now using the z score formula, we have:
Therefore, 25th percentile is
c. Compute the 75th percentile of the amount spent on a debit card.
Answer:We need to first find the z value corresponding to probability 0.75
Using the standard normal table, we have:
Now using the z score formula, we have:
Therefore, 75th percentile is
d. What is the interquartile range of this distribution?
Answer: Interquartile range = 75th percentile - 25th percentile
Therefore, the interquartile range of this distribution is
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