Use the following Distributions tool to identify the boundaries that separate the extreme samples from the samples that are more obviously consistent 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 = .05 are: O z=2.58 and 2 = -2.58 O z = 1.96 and z = -1.96 z = 3.29 and 2 = -3.29 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. 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 Standard deviation - 1.0 дл The critical region is The z-score boundaries for an alpha level a = 0.01 are: O z = 1.96 and 2 = -1.96 O z = 3.29 and 2 = -3.29 O z=2.58 and 2 = -2.58 2500 -0.67 0 0.67 2500 z Suppose that the calculated z statistic for a particular hypothesis test is 3.40 and the alpha is 0.01. This z statistic is Therefore, the researcher_ reject the null hypothesis, and she the critical region. conclude the alternative hypothesis is probably correct.
Use the following Distributions tool to identify the boundaries that separate the extreme samples from the samples that are more obviously consistent 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 = .05 are: O z=2.58 and 2 = -2.58 O z = 1.96 and z = -1.96 z = 3.29 and 2 = -3.29 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. 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 Standard deviation - 1.0 дл The critical region is The z-score boundaries for an alpha level a = 0.01 are: O z = 1.96 and 2 = -1.96 O z = 3.29 and 2 = -3.29 O z=2.58 and 2 = -2.58 2500 -0.67 0 0.67 2500 z Suppose that the calculated z statistic for a particular hypothesis test is 3.40 and the alpha is 0.01. This z statistic is Therefore, the researcher_ reject the null hypothesis, and she the critical region. conclude the alternative hypothesis is probably correct.
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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Transcribed Image Text:The alpha level is set
Use the following Distributions tool to identify the boundaries that separate the extreme samples from the samples that are more obviously consistent
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 = 2.58 and z = -2.58
O z = 1.96 and z = -1.96
O z = 3.29 and z = -3.29
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.
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
An
The critical region is
The z-score boundaries for an alpha level a = 0.01 are:
O z = 1.96 and z = -1.96
O z = 3.29 and z = -3.29
the analysis of the data.
-4
O z = 2.58 and 2 = -2.58
-2500
-1
-0.67
5000
0
0.67
2500
1
-N
2
Z
Suppose that the calculated z statistic for a particular hypothesis test is 3.40 and the alpha is 0.01. This z statistic is
Therefore, the researcher
reject the null hypothesis, and she
the critical region.
conclude the alternative hypothesis is probably correct.
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