2. Consider the following return rates for items purchased: Retail return rates Shoppers return items bought online at a far higher rate Online purchases Return rates by category (both online and in-store) About 30% Auto parts 21% Housewares 12.3% Apparel 10.5% Footwear 9.6% Sporting goods 9.3% Beauty 5.2% Source: WSJ

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 10CYU
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e) Which drink was the most preferred and what is the probability of preferring that drink?
2. Consider the following return rates for items purchased:
Retail return rates
Shoppers return items bought online at a far higher rate
Online
purchases
Return rates by category (both online and in-store)
About 30%
Auto parts
21%
Housewares
12.3%
Apparel
10.5%
Footwear
9.6%
Sporting goods
9.3%
Beauty
5.2%
Source: WSJ
a) If Sally sells 27 pairs of shoes during the month, what is the probability Sally has exactly 4 pairs
of shoes returned?
b) What is the probability that Sally has less than4 pairs of those shoes returned?
c) Tom works at Napa and sells auto parts. Tom sold 18 auto parts last week. What is the
probability that Tom gets more than 4 of those parts returned?
d) What is the probability that Tom between 2 and 5 of those parts returned?
Transcribed Image Text:e) Which drink was the most preferred and what is the probability of preferring that drink? 2. Consider the following return rates for items purchased: Retail return rates Shoppers return items bought online at a far higher rate Online purchases Return rates by category (both online and in-store) About 30% Auto parts 21% Housewares 12.3% Apparel 10.5% Footwear 9.6% Sporting goods 9.3% Beauty 5.2% Source: WSJ a) If Sally sells 27 pairs of shoes during the month, what is the probability Sally has exactly 4 pairs of shoes returned? b) What is the probability that Sally has less than4 pairs of those shoes returned? c) Tom works at Napa and sells auto parts. Tom sold 18 auto parts last week. What is the probability that Tom gets more than 4 of those parts returned? d) What is the probability that Tom between 2 and 5 of those parts returned?
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