Final answer:
After conducting a two-tailed z-test, it's concluded that there is sufficient evidence to reject the null hypothesis, indicating a significant difference in average self-esteem scores between group-participating adolescents and the general adolescent population.
Step-by-step explanation:
The question asks whether the mean self-esteem scores for adolescents who have participated in group activities such as sports are statistically different from the general population. Given the information, we will conduct a two-tailed hypothesis test using a z-test for a sample mean. The null hypothesis (μ) is that there is no difference in self-esteem scores between the sample group and the general population of adolescents.
Step-by-Step Explanation
- First, identify the parameters given; the population mean (μ) is 50, and the population standard deviation (σ) is 15. The sample mean (M) is 53.8 with a sample size (n) of 100.
- Second, calculate the standard error (SE) of the sample mean. SE = σ/√n = 15/10 = 1.5.
- Next, calculate the z-score for the sample mean, which is (M - μ)/SE = (53.8 - 50)/1.5 = 2.53.
- Compare the calculated z-score to the critical values for a two-tailed test with α = .05. The critical z-values are approximately ±1.96.
- Since the calculated z-score (2.53) is greater than the critical z-value (1.96), we reject the null hypothesis.
Therefore, there is sufficient evidence to conclude that the average self-esteem score for adolescents with a history of group participation is significantly different from the general population of adolescents.