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Use a 0.01 significance level to test the claim that cans 0.0109 inches thick have a lower mean axial load than cans that are 0.0111 inches thick. Below are the summary statistics for the two weights of cans: Axial Loads (lb) of Axial Loads (lb) of 0.0109 in. Cans 0.0111 in. Cans n 170 170 团 269.7 286.6 S 24.7 23.5 Null hypothesis, Ho: H1-H2= Alternative hypothesis, HA: H1-H2< Level of significance = Critical region: z

Use a 0.01 significance level to test the claim that cans 0.0109 inches thick have a lower mean axial load than cans that are 0.0111 inches thick. Below are the summary statistics for the two weights of cans: Axial Loads (lb) of Axial Loads (lb) of 0.0109 in. Cans 0.0111 in. Cans n 170 170 团 269.7 286.6 S 24.7 23.5 Null hypothesis, Ho: H1-H2= Alternative hypothesis, HA: H1-H2< Level of significance = Critical region: z

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 2CST
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Previous Problem Problem List Next Problem Use a 0.01 significance level to test the claim that cans 0.0109 inches thick have a lower mean axial load than cans that are 0.0111 inches thick. Below are the summary statistics for the two weights of cans: Axial Loads (lb) of Axial Loads (lb) of 0.0109 in. Cans 0.0111 in. Cans n 170 170 H 269.7 286.6 S 24.7 23.5 Null hypothesis, Ho: μ₁- μ2= Alternative hypothesis, HA H1 H2< Level of significance = Critical region: z test statistic = We should (Enter reject or not reject) Ho in favour of HA-
Transcribed Image Text:Previous Problem Problem List Next Problem Use a 0.01 significance level to test the claim that cans 0.0109 inches thick have a lower mean axial load than cans that are 0.0111 inches thick. Below are the summary statistics for the two weights of cans: Axial Loads (lb) of Axial Loads (lb) of 0.0109 in. Cans 0.0111 in. Cans n 170 170 H 269.7 286.6 S 24.7 23.5 Null hypothesis, Ho: μ₁- μ2= Alternative hypothesis, HA H1 H2< Level of significance = Critical region: z test statistic = We should (Enter reject or not reject) Ho in favour of HA-
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