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In this scenario, what is the test statistic?

- It is commonly known that the average body temperature for adults is 98.6 degrees Fahrenheit.
- Sample size [tex]$= 40$[/tex] adults
- Sample mean [tex]$= 99.8$[/tex] degrees Fahrenheit
- From past data, it is known that the population standard deviation is 15 degrees Fahrenheit.

Calculate the test statistic using the formula:

[tex]$z_0 = \frac{\bar{x} - \mu_0}{\frac{\sigma}{\sqrt{n}}}$[/tex]

where:
- [tex]$\bar{x} =$[/tex] sample mean
- [tex]$\sigma =$[/tex] population standard deviation
- [tex]$n =$[/tex] sample size
- [tex]$\mu_0 =$[/tex] population mean under the null hypothesis

Round your answer to 2 decimal places.

Provide your answer below:
[tex]$z_0 = \square$[/tex]

Answer :

To calculate the test statistic for this problem, we use the provided formula for the test statistic [tex]\( z_0 \)[/tex]:

[tex]\[ z_0 = \frac{\bar{x} - \mu_0}{\frac{\sigma}{\sqrt{n}}} \][/tex]

Let's break down each part of the formula using the given values:

- [tex]\(\bar{x}\)[/tex] is the sample mean, which is 99.8 degrees Fahrenheit.
- [tex]\(\mu_0\)[/tex] is the population mean under the null hypothesis, which is 98.6 degrees Fahrenheit.
- [tex]\(\sigma\)[/tex] is the population standard deviation, known to be 15 degrees Fahrenheit.
- [tex]\(n\)[/tex] is the sample size, which is 40.

Now, substitute these values into the formula:

1. Calculate the difference between the sample mean and the population mean:

[tex]\(\bar{x} - \mu_0 = 99.8 - 98.6 = 1.2\)[/tex]

2. Calculate the standard error of the mean, which involves dividing the population standard deviation by the square root of the sample size:

[tex]\(\frac{\sigma}{\sqrt{n}} = \frac{15}{\sqrt{40}}\)[/tex]

3. Calculate the test statistic [tex]\( z_0 \)[/tex]:

[tex]\[ z_0 = \frac{1.2}{\frac{15}{\sqrt{40}}} \][/tex]

4. Simplify the calculation to find [tex]\( z_0 \)[/tex]:

Perform the division:

[tex]\(\frac{15}{\sqrt{40}} \approx 2.3717\)[/tex]

Now, divide the difference in means by the standard error:

[tex]\[ z_0 = \frac{1.2}{2.3717} \approx 0.5059644256269419 \][/tex]

5. Finally, round [tex]\( z_0 \)[/tex] to two decimal places to get the final answer:

[tex]\( z_0 \approx 0.51 \)[/tex]

So, the test statistic [tex]\( z_0 \)[/tex] is approximately 0.51.

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Rewritten by : Jeany