Answer 1, 2 1. A null hypothesis can only be rejected at the 5% significance if and only ifA. The null hypothesis does not make sense.B. The alternate hypothesis is wrong at 5% of the timeC. At 95% confidence interval includes the hypothesized value of the parameter.D. A 95% confidence interval does not include the hypothesized value of the parameter.Ices, write E2. Consider the null hypothesis Ho:p = 0.18 indicates that the proportion of fat content of theburgers being sold in the canteen is 18% or less. Which of the following is true about the type I and typeII error?%3DA. A type I error occurs when the actual proportion is about 18% or more, but the nullhypothesis is rejected. A type II error when the actual proportion is about18% or less butthe null hypothesis is rejected.B. A type I error occurs when the actual proportion is about 18% or less, but the nullhypothesis is rejected. A type II error occurs when the actual proportion is about 18% ormore, but the null hypothesis is accepted.C. Atype I error occurs when the actual proportion is about 18% or more, but the nullhypothesis is accepted. A type II error occurs when the actual proportion is about 18% oless, but the null hypothesis is rejected.D. Atype I error occurs when the actual proportion is about 18%, and the null hypothesis isrejected. A type II error occurs when the actual proportion is about 18% or less, but thenull hypothesis is rejected.olioves that with his current internet

Name: Answer 1, 2 1. A null hypothesis can only be rejected at the 5% signif
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Description: Answer 1, 2 1. A null hypothesis can only be rejected at the 5% significance if and only ifA. The null hypothesis does not make sense.B. The alternate hypothesis is wrong at 5% of the timeC. At 95% confidence interval includes the hypothesized value