Answered: 2) P-value is calculated by excel…

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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P-value is calculated by excel command T.DIST.RT (2.51, 219)

Thus the p-value is 0.006398.

Thus since the p-value is less than 0.05 level of significance, thus there is sufficient evidence to reject the null hypothesis.

Thus the mean is greater than 13.

Explain the meaning of p value.
What is the advantage of p value approach over critical value approach?
Does a small p value indicate a strong relationship between the studied variables? Give your reason.
If a p value of a one tailed test is 0.04, what is the p value for a two tailed test?

What is the advantage of p value approach over critical value approach?

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 + ...

Expert Solution

Step 1

Introduction -

Null hypothesis- The null hypothesis is atypical theory which suggests that no statistical relationship and significance exists in a set of given single observed variable between two sets of observed data and measured phenomena.

Mean = $\frac{s u m o f o b s e r v a t i o n s}{t o t a l n u m b e r o f o n s e r v a t i o n s}$