Use a 0,025 significance level to test the claim that peanut candies have weights that vary more than plain candies. The standard deviation for the weights of plain candi is 0.352. A sample of 61 peanut candies has weights with a standard deviation of 0.38. Assume the population is normally distributed. (a) Write the claim mathematically and identify Ho and Ha- O A. Ho: o= 0.352; Ha: o#0.352 (Claim) O B. Ho: o20352 (Claim); H:o<0.352 OC. Ho: os0.352; Ha: o > 0.352 (Claim) (b) Find the critical value(s). (Use a comma to separate answers as needed. Round to three decimal places as needed.) Identify the rejection region(s). OA. OB. Oc. (c) Use the y2-test to find the standardized test statistic. O(Round to three decimal places as needed.) (d) Decide whether to reject or fail to reject the null hypothesis. O Reject Fail to reject (e) Interpret the decision in the context of the original claim. Does it appear that peanut candies have weights that vary more than those of plain candies? O A. Since the null hypothesis is not rejected, the weights do not appear to vary O B. Since the null hypothesis is rejected, the weights appear to vary more for more for peanut candies. peanut candies. O C. Since the null hypothesis is rejected, the weights do not appear to vary more for peanut candies. O D. Since the null hypothesis is not rejected, the weights appear to vary more for peanut candies.

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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.