Detem'line whether the following procedure results in a binomial distribution or a distribution that can be treated as binomial [by applying the 5% guideline for cumbersome calculations). If it is not binomial and cannot be treated as binomial, identify at least one requirement that is not satised. Surveying 5t} homemakers and recording how satised they are with their toaster on a scale from 1 to 5 (... Choose the correct answer below. 0 A. It is binomial or can be treated as binomial. O B. It not binomial because there are more than two possible outcomes. O C. It is not binomial because the probability of success does not remain the same in all trials. 0 D. It is not binomial because there are more than two possible outcomes and the trials are not independent. A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass were Correlation matrix: used to obtain the results shown to the right. Is there sufficient evidence to support the claim that there is a linear correlation between Variables Paper| Glass weights of discarded paper and glass? Use a significance level of a = 0.05. Paper 0.1316 Click here to view a table of critical values for the correlation coeficient Glass 0.1316 Determine the null and alternative hypotheses. Ho: P Hy : P (Type integers or decimals. Do not round.) Identify the test statistic, r. =(Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) A. There is one critical value at r = O B. There are two critical values at r = + State the conclusion. Because the absolute value of the test statistic is the positive critical value, there sufficient evidence to support the claim that there is a linear correlation between the weights of discarded paper and glass for a significance level of a = 0.05.Table of Critical Values n & =.05 @ = .01 4 950 990 878 .959 .811 .917 .754 .875 8 .707 834 9 666 .798 10 .632 .765 11 .602 735 12 .576 .708 13 553 684 14 .532 .661 15 .514 .641 16 .497 623 17 482 606 18 468 .590 19 456 .575 20 .444 .561 25 396 .505 30 .361 .463 35 .335 .430 40 .312 .402 45 .294 378 50 279 .361 60 .254 .330 70 .236 .305 80 220 286 90 207 269 100 196 256 NOTE: To test Hoip = 0 against Hip # 0, reject H. if the absolute value of r is