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Suppose ₁ and ₂ are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample t test at significance level 0.01 to test Ho: M₁-M₂=-10 ver H₂H₁M₂-10 for the following data: m = 8,x=114.8, s₁=5.05, n = 8, y = 129.5, and s₂ = 5.37. USE SALT Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.)

Suppose ₁ and ₂ are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample t test at significance level 0.01 to test Ho: M₁-M₂=-10 ver H₂H₁M₂-10 for the following data: m = 8,x=114.8, s₁=5.05, n = 8, y = 129.5, and s₂ = 5.37. USE SALT Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Suppose ₁ and ₂ are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample t test at significance level 0.01 to test Ho: M₁ - ₂ = -10 versus H₂: M₁ M₂ < -10 for the following data: m = 8, x = 114.8, s₁=5.05, n = 8, y = 129.5, and s₂ = 5.37. USE SALT Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.) t = P-value =
Transcribed Image Text:Suppose ₁ and ₂ are true mean stopping distances at 50 mph for cars of a certain type equipped with two different types of braking systems. Use the two-sample t test at significance level 0.01 to test Ho: M₁ - ₂ = -10 versus H₂: M₁ M₂ < -10 for the following data: m = 8, x = 114.8, s₁=5.05, n = 8, y = 129.5, and s₂ = 5.37. USE SALT Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your P-value to three decimal places.) t = P-value =
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