a) Distinguish between a one tailed and a two tailed test b) A study by Kamau et al found that among 40 students undertaking a master degree in acertain university the mean time of completion is 3.5 years and a standard deviation of 1.2 years. Determine;A 95% confidence Interval for the mean time completion A 99% confidence interval for the mean time of completion Determine 95% and 99% confidence interval for the mean difference Interpret the confidence interval above If the true mean duration is 2.5 years, does this differ significantly with 3.5 years?Develop a null and alternative hypothesis and apply the appropriate statistical tests and make your conclusions

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Description: a) Distinguish between a one tailed and a two tailed test b) A study by Kamau et al found that among 40 students undertaking a master degree in acertain university the mean time of completion is 3.5 years and a standard deviation of 1.2 years. Determ

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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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a) Distinguish between a one tailed and a two tailed test
b) A study by Kamau et al found that among 40 students undertaking a master degree in a

certain university the mean time of completion is 3.5 years and a standard deviation of 1.2 years. Determine;

A 95% confidence Interval for the mean time completion
A 99% confidence interval for the mean time of completion
Determine 95% and 99% confidence interval for the mean difference
Interpret the confidence interval above
If the true mean duration is 2.5 years, does this differ significantly with 3.5 years?

Develop a null and alternative hypothesis and apply the appropriate statistical tests and make your conclusions

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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