The observed value of the test statistic can be found in a table.T/FThe type of research hypothesis used (one- or two-tailed) affects the observed value of the test statistic.T/FWhen using a two-sided research hypothesis and the result is significant, the researcher reports only that there is a difference between the two groups.T/FThe bigger the absolute value of the observed value of the Independent Samples T-Test, the greater the difference in the means between the groups.T/FYou use the Independent Samples T-Test when you have two separate samples, meaning that if a person is in one group, they cannot be in the other group.T/FThe One-Sample T-Test compares two means.T/FThe critical value of the test statistic comes from a table.T/FRegardless of whether using a one- or two-sided hypothesis, if significant, one should always state “who does better.”T/FIn the Paired Sample T-Test, “n” may stand for the number of pairs. T/FThere is an infinite number of T distributions.T/FThe two factors that affect the critical value are the type of research hypothesis (one- or two-sided) and the degrees of freedom.T/FThe null hypothesis is the same for both the one- and two-tailed research hypotheses.T/FThe greater the absolute value of the critical value, the harder it is to obtain a significant finding.T/FThe Independent Samples T-Test is a test statistic.T/FThe type of research hypothesis used (one- or two-tailed) affects whether the t-test is found to be significant. T/F

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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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The observed value of the test statistic can be found in a table.	T/F
The type of research hypothesis used (one- or two-tailed) affects the observed value of the test statistic.	T/F
When using a two-sided research hypothesis and the result is significant, the researcher reports only that there is a difference between the two groups.	T/F
The bigger the absolute value of the observed value of the Independent Samples T-Test, the greater the difference in the means between the groups.	T/F
You use the Independent Samples T-Test when you have two separate samples, meaning that if a person is in one group, they cannot be in the other group.	T/F
The One-Sample T-Test compares two means.	T/F
The critical value of the test statistic comes from a table.	T/F
Regardless of whether using a one- or two-sided hypothesis, if significant, one should always state “who does better.”	T/F
In the Paired Sample T-Test, “n” may stand for the number of pairs.	T/F
There is an infinite number of T distributions.	T/F
The two factors that affect the critical value are the type of research hypothesis (one- or two-sided) and the degrees of freedom.	T/F
The null hypothesis is the same for both the one- and two-tailed research hypotheses.	T/F
The greater the absolute value of the critical value, the harder it is to obtain a significant finding.	T/F
The Independent Samples T-Test is a test statistic.	T/F
The type of research hypothesis used (one- or two-tailed) affects whether the t-test is found to be significant. T/F

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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