To evaluate the effect of a treatment, a sample of n = 8 is obtained from a population with a mean of μ = 40, and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be M = 35. (Use the 4-step procedure to conduct the hypothesis test) If the sample variance is s2 = 32, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with α = .05?If the sample variance is s2 = 72, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with α = .05?Comparing your answer for parts a and b, how does the variability of the scores in the sample influence the outcome of a hypothesis test?

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Description: To evaluate the effect of a treatment, a sample of n = 8 is obtained from a population with a mean of μ = 40, and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be M = 35. (Use the 4-step

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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To evaluate the effect of a treatment, a sample of n = 8 is obtained from a population with a mean of μ = 40, and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be M = 35. (Use the 4-step procedure to conduct the hypothesis test)

1. If the sample variance is s² = 32, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with α = .05?
2. If the sample variance is s² = 72, are the data sufficient to conclude that the treatment has a significant effect using a two-tailed test with α = .05?
3. Comparing your answer for parts a and b, how does the variability of the scores in the sample influence the outcome of a hypothesis test?

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