Answer:
The z statistic for this sample is -2.04.
Step-by-step explanation:
The null hypothesis is:
[tex]H_{0} = 7.44[/tex]
The alternate hypotesis is:
[tex]H_{1} \neq 7.44[/tex]
The z-statistic is:
[tex]z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}[/tex]
In which X is the sample mean, [tex]\mu[/tex] is the population mean(the hypothesis tested), [tex]\sigma[/tex] is the standard deviation and n is the size of the sample.
In this problem:
[tex]X = 3.9, \mu = 7.44, \sigma = 10.98, n = 40[/tex]. So
[tex]z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}[/tex]
[tex]z = \frac{3.9 - 7.44}{\frac{10.98}{\sqrt{40}}}[/tex]
[tex]z = -2.04[/tex]
The z statistic for this sample is -2.04.