No need for explanations, just the answers will suffice. I tried using Ai and it was full of errors.

Q24: What is the z-value or t-value you obtained (your test statistic)? Q25: Based on your results (and comparing your Q24 and Q22 answers) would you A. reject the null hypothesis B. fail to reject the null hypothesis Q26: The best conclusion for this example would be A. There is no statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course. B. There is a statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course. C. The students who took the SAT prep course did not score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. D. The students who took the SAT prep course did score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. Q27: Based on your evaluation of the null in Q25 and your conclusion is Q26, as a researcher you would be more concerned with a A. Type I statistical error B. Type II statistical error Calculate the 95% confidence interval. Steps: Q28: The mean you will use for this calculation is A. 1050 B. 1150 Q29: What is the new critical value you will use for this calculation? Q30: As you know, two values will be required to complete the following equation: