lost by natur Two researchers conduct separate studies to test Ho: p=0.50 against Ha: p #0.50, each with n =400. Researcher A gets 226 observations in the category of interest, and p=226/400 = 0.565. Researcher B gets 224 in the category of interest, and p = 224 / 400 =0.560. Complete parts (a) through (d) below. e test by nat he lest by na hend that you a. Find the z-scores and P-values for both researchers. led. This is of Researcher A Researcher B Z 2 = hosen at ran test was not P-value = P-value = ed The scho (Round the z-scores to two decimal places as needed. Round the P-values to three decimal places as needed.) b. Using a = 0.01, indicate in each case whether the result is "statistically significant." Interpret. The result in case A is statistically significant The result in case B is not statistically significant Select the What does the statistical significance of the results above imply? equences irection O A. Hypothesis tests that produce similar P-values always have the same conclusion. COS O B. A difference in conclusions between two hypothesis tests always means that the test with the result that is deemed "statistically significant" is much more rection significant than the test with the result that is deemed "not statistically significant." O C. A difference in conclusions between two hypothesis tests does not necessarily mean that the test with the result that is deemed "statistically significant" lect the corr is actually much more significant than the test with the result that is deemed "not statistically significant."