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the 2-score boundaries, click on the icon with two orange lines, and slide the orange lines until the area in the critical region equals the alpha level. Remember that the probability will need to be split between the two tails. To use the tool to help you evaluate the hypothesis, click on the icon with the purple line, place the two orange lines on the critical values, and then place the purple line on the z statistic. Standard Normal Distribution Mean 00 Standard Devistion = 1.0 .5000 2500 2500 -3 -1 -0.67 0.67 The critical region is the area between the z-scores The z-score boundar the area in the tails beyond each z-score O z = 1.96 al O z = 2.58 and z = -2.58 O z = 3.29 and z = -3.29 Suppose that the calculated z statistic for a particular hypothesis test is 4.12 and the alpha is 0.001. This z statistic is the critical region Therefore, the researcher v reject the null hypothesis, and he conclude the alternative hypothesis is probably correct.

the 2-score boundaries, click on the icon with two orange lines, and slide the orange lines until the area in the critical region equals the alpha level. Remember that the probability will need to be split between the two tails. To use the tool to help you evaluate the hypothesis, click on the icon with the purple line, place the two orange lines on the critical values, and then place the purple line on the z statistic. Standard Normal Distribution Mean 00 Standard Devistion = 1.0 .5000 2500 2500 -3 -1 -0.67 0.67 The critical region is the area between the z-scores The z-score boundar the area in the tails beyond each z-score O z = 1.96 al O z = 2.58 and z = -2.58 O z = 3.29 and z = -3.29 Suppose that the calculated z statistic for a particular hypothesis test is 4.12 and the alpha is 0.001. This z statistic is the critical region Therefore, the researcher v reject the null hypothesis, and he conclude the alternative hypothesis is probably correct.

MATLAB: An Introduction with Applications
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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ess Tips - the analysis of the data. The alpha level is set ess Tips Use the following Distributions tool to identify the boundaries that separate the extreme samples from the samples that are more obviously consistent R YOU with the null hypothesis. Assume the null hypothesis is nondirectional, meaning that the critical region is split across both tails of the distribution. The z-score boundaries at an alpha level a = .05 are: O z = 3.29 and z = -3.29 asting O z = 2.58 and z = -2.58 Time "ime O z = 1.96 and z = -1.96 To use the tool to identify the z-score boundaries, click on the icon with two orange lines, and slide the orange lines until the area in the critical region equals the alpha level. Remember that the probability will need to be split between the two tails. pack To use the tool to help you evaluate the hypothesis, click on the icon with the purple line, place the two orange lines on the critical values, and then place the purple line on the z statistic. Standard Normal Distribution Mean = 0.0 Standard Deviation 1.0 5000 2500 2500 -2 -1 -0.67 0.67 The critical region is The z-score boundaries for an alpha level a = 0.001 are:
Transcribed Image Text:ess Tips - the analysis of the data. The alpha level is set ess Tips Use the following Distributions tool to identify the boundaries that separate the extreme samples from the samples that are more obviously consistent R YOU with the null hypothesis. Assume the null hypothesis is nondirectional, meaning that the critical region is split across both tails of the distribution. The z-score boundaries at an alpha level a = .05 are: O z = 3.29 and z = -3.29 asting O z = 2.58 and z = -2.58 Time "ime O z = 1.96 and z = -1.96 To use the tool to identify the z-score boundaries, click on the icon with two orange lines, and slide the orange lines until the area in the critical region equals the alpha level. Remember that the probability will need to be split between the two tails. pack To use the tool to help you evaluate the hypothesis, click on the icon with the purple line, place the two orange lines on the critical values, and then place the purple line on the z statistic. Standard Normal Distribution Mean = 0.0 Standard Deviation 1.0 5000 2500 2500 -2 -1 -0.67 0.67 The critical region is The z-score boundaries for an alpha level a = 0.001 are:
luentiry the z-score boundaries, click on the icon with two orange lines, and slide the orange lines until the area in the critical region equals the alpha level. Remember that the probability will need to be split between the two tails. ss Tips To use the tool to help you evaluate the hypothesis, click on the icon with the purple line, place the two orange lines on the critical values, and then VOU place the purple line on the z statistic. Standard Normal Distribution sting me ime Mean = 0.0 Standard Deviation = 1.0 5000 2500 .2500 -3 -1 1 2 -0.67 0.67 The critical region is the area between the z-scores The z-score boundar the area in the tails beyond each z-score O z = 1.96 a O z = 2.58 and z = -2.58 O z = 3.29 and z = -3.29 v the critical region. Suppose that the calculated z statistic for a particular hypothesis test is 4.12 and the alpha is 0.001. This z statistic is ▼ reject the null hypothesis, and he conclude the alternative hypothesis is probably correct. Therefore, the researcher
Transcribed Image Text:luentiry the z-score boundaries, click on the icon with two orange lines, and slide the orange lines until the area in the critical region equals the alpha level. Remember that the probability will need to be split between the two tails. ss Tips To use the tool to help you evaluate the hypothesis, click on the icon with the purple line, place the two orange lines on the critical values, and then VOU place the purple line on the z statistic. Standard Normal Distribution sting me ime Mean = 0.0 Standard Deviation = 1.0 5000 2500 .2500 -3 -1 1 2 -0.67 0.67 The critical region is the area between the z-scores The z-score boundar the area in the tails beyond each z-score O z = 1.96 a O z = 2.58 and z = -2.58 O z = 3.29 and z = -3.29 v the critical region. Suppose that the calculated z statistic for a particular hypothesis test is 4.12 and the alpha is 0.001. This z statistic is ▼ reject the null hypothesis, and he conclude the alternative hypothesis is probably correct. Therefore, the researcher
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