Question

An experiment in teaching research methods in psychology was recently conducted at a large university. One section was taught by the traditional lecture-lab method, a second was taught by an all-lab/demonstration approach with no lectures, and a third was taught entirely by a series of videotaped lectures and demonstrations that the students were free to view at any time and as often as they wished. Students were randomly assigned to each of the three sections, and, at the end of the semester, random samples of final exam scores were collected from each section. Test whether teaching method affected student performance on the final exam. Use the .05 significance level. What is the null hypothesis

Answer 1

The null hypothesis in the scenario is that there is no significant difference in the means of the final exam scores between the three teaching methods. An ANOVA test can be used to determine if this hypothesis should be accepted or rejected, using a .05 significance level.

Step-by-step explanation:

To test whether teaching method affected student performance on the final exam, a statistical hypothesis test can be used. The null hypothesis for this scenario would be that there is no difference in the means of the final exam scores among the three teaching methods. In hypothesis testing, the null hypothesis is always the statement of no effect or no difference, which in this case translates to the assumption that the teaching method does not affect student performance.

Once data on the final exam scores from each group are collected, an ANOVA (Analysis of Variance) test could be implemented, considering the .05 significance level. If the p-value of the test statistic is less than .05, it would lead to the rejection of the null hypothesis, indicating that there is a statistically significant difference in final exam scores between at least two of the teaching methods. It's crucial that random sampling and random assignment to groups are maintained to support the validity of the results.

Answer 2

Step-by-step explanation:

hello,

from the question, we were not given the P-value. If the test result were statistically significant, this means that P < 0.05 , thus we will reject the null hypothesis. if P < 0.05, then we are saying that the probability that the teaching method affected the students in their final exams is less that 5%. hence we reject the null hypothesis.

on the other hand if the test result is not statistically significant, this means that the P-value, P > 0.05, thus we will fail to reject the null hypothesis because the probability that the teaching method affected the students performance in their final exam is greater than 5%.