he p-value for the hypothesis test is 0.0139 , which means the observed difference is/ is noy statistically significant at the 5% level

The p-value for the hypothesis test is 0.0062 , which means the observed difference [ Select ] statistically significant at the 1% level.

Which of these p-values would provide statistically significant results for a hypothesis test at the 5% significance level? Check all that applies.Group of answer choicesp = 0.023p = 0.053p = 0. 178p = 0.042

Based on the p-value, what is your conclusion (use .05 significance level)?

(iv) Make a decision and conclusion for the hypothesis test in context. Use a significance level of 5% (α = 0.05).

Previous studies suggest that female teens are more likely than male teens to be depressed. Define the depression rates for the female and male teens as p1 and p2 respectively. The p-value of the hypothesis test is 0.061. What is the correct conclusion at the 5% significance level?