You are here: Project Scarlet » Statistical Inference » One-Sample Z-Procedures » Test Statistic
Z-Procedures
Example #446: Let us test the null hypothesis that the mean height of a population is 91 cm. In symbols, this is:
H0 : μ = 91 cm
To test this hypothesis, we collect data. These data are the heights of a sample from this population. The sample values are:
82, 92, 98, 96, 87, 92, 99, 83, 83, 87, 91, 102, 83, 100, 90, 102, 106, 124, 95, 98, 97, 77, 101, 102, 96, 87, 79, 93, 71, 96, 99, 87, 99, 95, 101, 97, 87, 89, 90, 78, 81, 90, 97, 101, 89, 89, 86, 97, 89, 98, 94, 82, 108, 87, 101, 90, 92, 93, 75, 97, 99, 85
In addition to these data, we also know that the data are generated from a Normal process (they come from a Normally distributed population) and that the standard deviation of this population is σ = 9.
With this information, calculate the test statistic corresponding to the null hypothesis.
To summarize the above, the values of import are:
\( \mu_0 \) | = | 91 |
---|---|---|
\( \bar{x} \) | = | 92.4355 |
\( \sigma \) | = | 9 |
\( n \) | = | 62 |
Calculate them yourself, then hover your mouse over the grey space to see if you calculated them correctly.
In the box below, please enter the z test statistic for the null hypothesis and the data given above. Once you have done so, click on the “Check your answer!” button. Please round your answer to the ten-thousandths place.
Show Formula
Show Solution
Show the R Code
Show the Excel Code
© Ole J. Forsberg, Ph.D. 2025. All rights reserved. | . | |