a. Paste a screenshot or draw your null distribution below with the observed MAD Marked and the approximate P-value shaded in. b. Is the observed statistic out in the tail of this null distribution or is it a fairly typical result? c. What is the p-value from your simulation? Based on this simulation analysis, would you conclude that the experiment Provides strong evidence against the null hypothesis and conclude that there is a genuine difference in at least one of the probabilities of not yielding for the five different status groups? Explain your reasoning. 10. Are the validity conditions Met to complete a theory-based chi-square test for these data? Explain. Whether the conditions are Met or not, use a theory-based chi-square test to find a p-value for this test. How does this p-value compare to the p-value your found using the randomization Method? 11. Are the validity conditions Met so we can Perform follow-up analysis (Pairwise comPari- sons) using theory-based techniques? Explain. 12. Regardless of your answer to #11, find confidence intervals for each pair of differences in the probabilities of not yielding. Comment on how this shows where differences can be established and where it is plausible there are no differences between probabilities