Question: In any significance test when the sample size is very
In any significance test, when the sample size is very large, we have not necessarily established an important result when we obtain statistical significance. Explain what this means in the context of analyzing contingency tables with a chi-squared test.
Answer to relevant QuestionsWhen df = 1, the P-value from the chi-squared test of independence is the same as the P-value for the two-sided test comparing two proportions with the z test statistic. This is because of a direct connection between the ...For testing independence, most software also reports another chi-squared statistic, called likelihood-ratio chi-squared. It equals G2 = 2 ∑ [observed count × log (observed count / expected count)] It has similar ...Refer to the relationship r = (sx/sy)b between the slope and correlation, which is equivalently sxb = rsy. a. Explain why an increase in x of sx units relates to a change in the predicted value of y of sxb units. (For ...Is there a relationship between x = how many sit-ups you can do and y = how fast you can run 40 yards (in seconds)? The MINITAB output of a regression analysis for the female athlete strength study is shown here. a. Find the ...A clinical trial admits subjects suffering from high cholesterol, who are then randomly assigned to take a drug or a placebo for a 12-week study. For the population, without taking any drug, the correlation between the ...
Post your question