This document provides instructions for performing z-tests and t-tests. It includes an example of a z-test with a sample size greater than 30 where the null hypothesis is rejected. It also gives an example of a t-test with a sample size less than 30 where the null hypothesis fails to be rejected. The document explains how to enter information like the claim, null and alternative hypotheses, test statistics, and critical values to perform statistical significance tests.
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Hypothesis Testing Template
1. Z - Test
Sample size is greater than 30
Instructions:
Claim mu<15 Enter the claim
Ho mu>=15 Enter the null hypothesis
Ha mu<15 Enter the alternative hypothesis
Using the drop down, enter the equality symbol
>=
Ho for the null hypothesis
Based on the equality symbol, the tail type will be
Tail type Left Tail determined
Mean 14.5 Enter Mean, mu
N 49 Enter N, sample size must be greater than 30
Xbar 14.5 Enter Xbar, sample mean
s 2.7 Enter s, sample standard deviation
alpha 0.07
Z0 -1.476 Critical Value
Zc 0.000 Z- Standardized Test Statistic
Fail to Reject
2. T - Test
Sample size is less than 30
Claim mu > 95
Ho mu <= 95
Ha mu > 95
<=
Ho
Tail type Right Tail
Mean 95
N 7
Xbar 100
s 42.5
alpha 0.01
To 3.143
Tc 0.311
Fail to Reject
3. T - Test
mple size is less than 30
Instructions:
Enter the claim
Enter the null hypothesis
Enter the alternative hypothesis
Using the drop down, enter the equality symbol for the null hypothesis
Based on the equality symbol, the tail type will be determined
Enter Mean, mu
Enter N, sample size must be less than 30
Enter Xbar, sample mean
Enter s, sample standard deviation
Critical Value
T- Standardized Test Statistic