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Before beginning a new and costly advertising campaign, Starbucks would like to know how best to target their demographic. One of the connections they are interested in investigating is the relationship between gender and coffee consumption in college students. A random sample of 1200 U.S. college students is summarized below:

Before beginning a new and costly advertising campaign, Starbucks would like to know how best to target their demographic. One of the connections they are interested in investigating is the relationship between gender and coffee consumption in college students. A random sample of 1200 U.S. college students is summarized below:

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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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ANSwer part b in frq style and descriptive

TODAY: Latest Before beginning a new and costly advertising campaign, Starbucks would like to know how best to target their demographic. One of the connections they are interested in investigating is the relationship between gender and coffee consumption in college students. A random sample of 1200 U.S. college students is summarized below: Female Male Consumes more than 2 cups of 560 295 coffee per day Consumes 1-2 cups of coffee per day 163 72 Does not consume 37 73 coffee a. Is there a statistically significant association at a = 0.01 ? b. If so, performa follow-up analysis.
Transcribed Image Text:TODAY: Latest Before beginning a new and costly advertising campaign, Starbucks would like to know how best to target their demographic. One of the connections they are interested in investigating is the relationship between gender and coffee consumption in college students. A random sample of 1200 U.S. college students is summarized below: Female Male Consumes more than 2 cups of 560 295 coffee per day Consumes 1-2 cups of coffee per day 163 72 Does not consume 37 73 coffee a. Is there a statistically significant association at a = 0.01 ? b. If so, performa follow-up analysis.
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