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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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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