A t-test is used to understand: Multiple Choice the probability of a statistical difference in means between either two independent samples or a paired sample through time. the relation between specific dependent variable values and independent variable inputs. the frequency of the data using a display of rectangles with area proportional to the underlying frequency of the data. the basic statistics, including the mean, standard deviation, minimums, and maximums of a data set.

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Description: A t-test is used to understand: Multiple Choice the probability of a statistical difference in means between either two independent samples or a paired sample through time. the relation between specific dependent variable values and independent varia

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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 t-test is used to understand:

Multiple Choice

the probability of a statistical difference in means between either two independent samples or a paired sample through time.
the relation between specific dependent variable values and independent variable inputs.
the frequency of the data using a display of rectangles with area proportional to the underlying frequency of the data.
the basic statistics, including the mean, standard deviation, minimums, and maximums of a data set.

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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