You wish to test the following claim (Ha) at a significance level of a = 0.002. H.:p = 0.33 H.:p > 0.33 You obtain a sample of size n = 573 in which there are 195 successful observations. For this test, you should use the (cumulative) binomial distribution to obtain an exact p-value. (Do not use the normal distribution as an approximation for the binomial distribution.) The p-value for this test is (assuming H, is true) the probability of observing... O at most 195 successful observations O at least 195 successful observations What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value %3D The p-value is... O less than (or equal to) a Ogreater than a This test statistic leads to a decision to... reject the null O accept the null O fail to reject the null As such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the population proportion is

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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.