Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in x₁ = 290 and s₁ = 12, and another random sample of 16 gears from the second supplier results in x₂ = 321 and s₂ = 22. Construct a 95% confidence interval estimate for the difference in mean impact strength and explain how this interval could be used to answer the question posed regarding supplier-to- supplier differences. Assume that both populations are normally distributed but the variances are not equal (Case 2: o² o2) O a. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 95% confidence O b. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a lower mean impact strength than supplier 1 with 99% confidence O c. 17.175 <= u1-u2 <= 44.825. Because zero is contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 90% confidence O d. None among the choices
Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in x₁ = 290 and s₁ = 12, and another random sample of 16 gears from the second supplier results in x₂ = 321 and s₂ = 22. Construct a 95% confidence interval estimate for the difference in mean impact strength and explain how this interval could be used to answer the question posed regarding supplier-to- supplier differences. Assume that both populations are normally distributed but the variances are not equal (Case 2: o² o2) O a. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 95% confidence O b. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a lower mean impact strength than supplier 1 with 99% confidence O c. 17.175 <= u1-u2 <= 44.825. Because zero is contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with 90% confidence O d. None among the choices
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Transcribed Image Text:Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these
gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from
supplier 1 results in x₁ = 290 and s₁ = 12, and another random sample of 16 gears from the
second supplier results in x₂ = 321 and s₂ = 22.
Construct a 95% confidence interval estimate for the difference in mean impact strength and
explain how this interval could be used to answer the question posed regarding supplier-to-
supplier differences. Assume that both populations are normally distributed but the variances are
not equal (Case 2: o2 #02)
O a. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1
with 95% confidence
O b. 17.175 <= u1-u2 <= 44.825. Because zero is not contained in the confidence interval, we conclude that supplier 2 provides gears with a lower mean impact strength than supplier 1
with 99% confidence
O c. 17.175 <= u1-u2 <= 44.825. Because zero is contained in the confidence interval, we conclude that supplier 2 provides gears with a higher mean impact strength than supplier 1 with
90% confidence
O d. None among the choices
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