A. Assume that the samples are independent and that they have been randomly selected. A marketing survey involves product recognition in New York and California. Of 682 New Yorkers Surveyed, 218 knew the product while 192 out of 518 Californians knew the product. Calculate the point Estimates for both populations, the pool Sample, and the complement of the pooled sample. At the 0.05 significance level, test the claim that the recognition rates are the same in both states. Include your Null and alternative hypotheses, the critical values, test statistic, P-value, conclusion about the null hypothesis, and an overall conclusion about the claim in your answer. Draw the z distribution. Construct a 95% confidence interval estimate of the difference between the two population proportions. B. describe the type 1 error for this Problem.
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.
A. Assume that the samples are independent and that they have been randomly selected. A marketing survey involves product recognition in New York and California. Of 682 New Yorkers Surveyed, 218 knew the product while 192 out of 518 Californians knew the product. Calculate the point Estimates for both populations, the pool Sample, and the complement of the pooled sample. At the 0.05 significance level, test the claim that the recognition rates are the same in both states. Include your Null and alternative hypotheses, the critical values, test statistic, P-value, conclusion about the null hypothesis, and an overall conclusion about the claim in your answer. Draw the z distribution. Construct a 95% confidence
B. describe the type 1 error for this Problem.
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