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A marketing study was conducted to compare the variation in the age of male and female purchasers of a certain product. Random and independent samples were selected for both male and female purchasers of the product. The sample data is shown here: Female: n = 31, sample mean = 50.30, sample standard deviation = 13.215 Male: n = 21, sample mean = 39.80, sample standard deviation = 10.040 Calculate the test statístics that should be used to determine if the variation in the female ages exceeds the variation in the male ages. OF= 1.316 OF= 1.732 OF = 1.264 OF = 1.597

A marketing study was conducted to compare the variation in the age of male and female purchasers of a certain product. Random and independent samples were selected for both male and female purchasers of the product. The sample data is shown here: Female: n = 31, sample mean = 50.30, sample standard deviation = 13.215 Male: n = 21, sample mean = 39.80, sample standard deviation = 10.040 Calculate the test statístics that should be used to determine if the variation in the female ages exceeds the variation in the male ages. OF= 1.316 OF= 1.732 OF = 1.264 OF = 1.597

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
Section10.4: Distributions Of Data
Problem 19PFA
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A marketing study was conducted to compare the variation in the age of male and female purchasers of a certain product. Random and independent samples were selected for both male and female purchasers of the product. The sample data is shown here: Female: n = 31, sample mean = 50.30, sample standard deviation = 13.215 Male: n = 21, sample mean = 39.80, sample standard deviation = 10.040 Calculate the test statístics that should be used to determine if the variation in the female ages exceeds the variation in the male ages. OF = 1.316 OF = 1.732 OF = 1.264 OF = 1.597
Transcribed Image Text:A marketing study was conducted to compare the variation in the age of male and female purchasers of a certain product. Random and independent samples were selected for both male and female purchasers of the product. The sample data is shown here: Female: n = 31, sample mean = 50.30, sample standard deviation = 13.215 Male: n = 21, sample mean = 39.80, sample standard deviation = 10.040 Calculate the test statístics that should be used to determine if the variation in the female ages exceeds the variation in the male ages. OF = 1.316 OF = 1.732 OF = 1.264 OF = 1.597
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