By using testing of hypothesis, it can concluded that
Population mean is 25.
What is testing of hypothesis?
Suppose there is a data at hand and there is a hypothesis to be tested. Testing of hypothesis determines whether the given hypothesis can be supported with the data at hand.
Here,
Sample size = 23
Population mean = 25
Sample mean = 28.739
Sample standard deviation = 10.015
Here,
The null hypothesis [tex]H_0 : \mu = 25[/tex]
The alternative hypothesis [tex]H_a : \mu \neq25[/tex]
Here, the population standard deviation is unknown. So two tailed test is used.
Here, level of significance = 0.05
Critical value for two tailed test is 2.07
The test statistic t = [tex]\frac{\bar{x} - \mu}{\frac{s}{\sqrt{n}}}[/tex]
[tex]=\frac{28.7391 - 25}{\frac{10.0146}{\sqrt{23}}}[/tex]
= 1.79
1.79 lies between -2.07 and 2.07
So we fail to reject the null hypothesis
So it can be claimed that population mean is 25.
To learn more about testing of hypothesis, refer to the link-
brainly.com/question/15980493
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