The weights of a certain brand of candies are normally distributed with a mean weight of 0.8584 g and a standard deviation of 0.0524 g. A sample of these candies came from a package containing 469 candies, and the package label stated that 400.2 the net weight is 400.2 g. (If every package has 469 candies, the mean weight of the candies must exceed 60 =0.8533 g for the net contents to weigh at least 400.2 g.) a. If 1 candy is randomly selected, find the probability that it weighs more than 0.8533 g. The probability is (Round to four decimal places as needed.) b. If 469 candies are randomly selected, find the probability that their mean weight is at least 0.8533 g. The probability that a sample of 469 candies will have a mean of 0.8533 g or greater is. (Round to four decimal places as needed.) c. Given these results, does it seem that the candy company is providing consumers with the amount claimed on the label? V because the probability of getting a sample mean of 0.8533 g or greater when 469 candies are selected V exceptionally small.

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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.