The table below includes results from polygraph (lie detector) experiments conducted by researchers. In each case, it was known if the subjected lied or did not lie, so the table indicates when the polygraph test was correct. Use a 0.05 significance level to test the claim that whether a subject lies is independent of the polygraph test indication. Do the results suggest that polygraphs are effective in distinguishing between truth and lies? E Click the icon to view the table. Determine the null and alternative hypotheses. O A. Ho: Polygraph testing is not accurate. H1: Polygraph testing is accurate. More Info O B. Ho: Whether a subject lies is not independent of the polygraph test indication. H4: Whether a subject lies is independent of the polygraph test indication. OC. Ho: Whether a subject lies is independent of the polygraph test indication. Did the Subject Actually Lie? No (Did Not Lie) H: Whether a subject lies is not independent of the polygraph test indication. Yes (Lied) e O D. Ho: Polygraph testing is accurate. H1: Polygraph testing is not accurate. Polygraph test indicated that the subject lied. Polygraph test indicated that the subject did not lie. 19 26 16 8. Determine the test statistic. x2 = (Round t three decimal places as needed.) Print Done Determine the P-value of the test statistic. P-value = (Round four decimal places as needed.) Do the results suggest that polygraphs are effective in distinguishing between truth and lies?

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A: formula:

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A:

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A:

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A: The given inequality is 9-4x>-3

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A: Find the term indicated in the expansion (x + 2y)6; third term.

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.