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 ₁ = 289.30 and s₁ = 22.5, and another random sample of 16 gears from the second supplier results in ₂ = 321.80 and $₂ = 21. Use only Table V of Appendix A. (a) Is there evidence to support the claim that supplier 2 provides gears with higher mean impact strength? Use a = 0.05, and assume that both populations are normally distributed but the variances are not equal. Round your answer to 4 decimal places. < P-value < Is there evidence to support the claim? (b) Do the data support the claim that the mean impact strength of gears from supplier 2 is at least 25 foot-pounds higher than that of supplier 1? Find bounds on the P-value making the same assumptions as in part (a). Round your answer to 2 decimal places. i < P-value < Is there evidence to support the claim? (c) Construct an appropriate 95% confidence interval on the difference in mean impact strength. Use only Table V of Appendix A. Round your answers to 3 decimal places. ≤1₂-M1 ≤ i

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Does the confidence interval support the claim that the mean impact strength of gears from supplier 2 is at least 25 foot-pounds
higher than that of supplier 1?
Transcribed Image Text:Does the confidence interval support the claim that the mean impact strength of gears from supplier 2 is at least 25 foot-pounds higher than that of supplier 1?
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 ₁ = 289.30 and $₁ = 22.5, and another random
sample of 16 gears from the second supplier results in ₂ = 321.80 and $₂ = 21.
Use only Table V of Appendix A.
(a) Is there evidence to support the claim that supplier 2 provides gears with higher mean impact strength? Use a = 0.05, and assume
that both populations are normally distributed but the variances are not equal.
Round your answer to 4 decimal places.
< P-value <
Is there evidence to support the claim?
(b) Do the data support the claim that the mean impact strength of gears from supplier 2 is at least 25 foot-pounds higher than that of
supplier 1? Find bounds on the P-value making the same assumptions as in part (a).
Round your answer to 2 decimal places.
< P-value <
Is there evidence to support the claim?
i
(c) Construct an appropriate 95% confidence interval on the difference in mean impact strength. Use only Table V of Appendix A.
Round your answers to 3 decimal places.
< M2-M1 < i
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 ₁ = 289.30 and $₁ = 22.5, and another random sample of 16 gears from the second supplier results in ₂ = 321.80 and $₂ = 21. Use only Table V of Appendix A. (a) Is there evidence to support the claim that supplier 2 provides gears with higher mean impact strength? Use a = 0.05, and assume that both populations are normally distributed but the variances are not equal. Round your answer to 4 decimal places. < P-value < Is there evidence to support the claim? (b) Do the data support the claim that the mean impact strength of gears from supplier 2 is at least 25 foot-pounds higher than that of supplier 1? Find bounds on the P-value making the same assumptions as in part (a). Round your answer to 2 decimal places. < P-value < Is there evidence to support the claim? i (c) Construct an appropriate 95% confidence interval on the difference in mean impact strength. Use only Table V of Appendix A. Round your answers to 3 decimal places. < M2-M1 < i
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