Match each of the following statements with the terms and values below:-abcdefghij (Upper confidence limit - Lower confidence limit)/2-abcdefghij Rejecting H0:μ≤28�0:�≤28 when in fact μ=33�=33-abcdefghij If we fail to reject H0�0 at α=0.04�=0.04 we must also fail to reject it at-abcdefghij A single statistic that is used to estimate a population parameter-abcdefghij 1 - α�-abcdefghij Failure to reject a false null hypothesis-abcdefghij The sampling distribution of the sample mean becomes approximately normal as n� becomes large-abcdefghij A range of values of a sample statistic that likely contains the population parameter-abcdefghij The decision when the test statistic falls outside the critical region-abcdefghij If we reject H0�0 at α=0.03�=0.03 we must also reject it atFail to reject H0�0Confidence intervalType II errorPoint estimateCentral Limit TheoremMargin of ErrorCorrect decisionα=0.02�=0.02Confidence levelα=0.07

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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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Match each of the following statements with the terms and values below:

-abcdefghij (Upper confidence limit - Lower confidence limit)/2
-abcdefghij Rejecting H0:μ≤28�0:�≤28 when in fact μ=33�=33
-abcdefghij If we fail to reject H0�0 at α=0.04�=0.04 we must also fail to reject it at
-abcdefghij A single statistic that is used to estimate a population parameter
-abcdefghij 1 - α�
-abcdefghij Failure to reject a false null hypothesis
-abcdefghij The sampling distribution of the sample mean becomes approximately normal as n� becomes large
-abcdefghij A range of values of a sample statistic that likely contains the population parameter
-abcdefghij The decision when the test statistic falls outside the critical region
-abcdefghij If we reject H0�0 at α=0.03�=0.03 we must also reject it at

Fail to reject H0�0
Confidence interval
Type II error
Point estimate
Central Limit Theorem
Margin of Error
Correct decision
α=0.02�=0.02
Confidence level
α=0.07

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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