Final answer:
To calculate the z-test statistic, use the formula (X - μX) / σX, substituting 16 for X, 16.43 for μX, and 0.06 for σX to get a z value of approximately -7.17.
Step-by-step explanation:
To find the value of the standardized z-test statistic given a set of hypotheses and the standard error from a randomization distribution, one typically uses the formula:
z = (X - μX) / σX
Where:
X is the sample mean,
μX (mu) is the population mean under the null hypothesis,
σX (sigma) is the standard error of the sample mean.
In this case, we have:
The sample mean (X) = 16,
The population mean under the null hypothesis (μX) = 16.43,
The standard error (σX) = 0.06 (as given by the randomization distribution).
The z-test statistic is then calculated as:
z = (16 - 16.43) / 0.06
Plug in the values to obtain:
z ≈ -7.17
This is the z-test statistic that can be compared to critical values to make a decision about the null hypothesis.