Using the z-distribution, as we have the standard deviation for the population, it is found that the sample provides enough evidence to conclude that self-esteem scores for these adolescents are significantly different from those of the general population.
<h3>What are the hypothesis tested?</h3>
At the null hypothesis, we test if the score for group-participation adolescents is the same as the general population, that is:
At the alternative hypothesis, we test if the score is different, that is:
<h3>What is the test statistic?</h3>
The test statistic is given by:
The parameters are:
- is the sample mean.
- is the value tested at the null hypothesis.
- is the standard deviation of the population.
- n is the sample size.
In this problem, we have that:
.
Hence:
<h3>What is the decision?</h3>
Considering a<em> two-tailed test</em>, as we are testing if the mean is different of a value, with a <em>significance level of 0.05</em>, the critical value is
Since the absolute value of the test statistic is greater than the critical value for the two-tailed test, it is found that the sample provides enough evidence to conclude that self-esteem scores for these adolescents are significantly different from those of the general population.
More can be learned about the z-distribution at brainly.com/question/26454209