hypothesis-testing

1. A null hypothesis can only be rejected at the 5% significance if and only if A. The null hypothesis does not make sense. 8. The alternate hypothesis is wrong at 5% of the time. C. At 95% condence interval includes the hypothesized value of the parameter. D. A 95% condence interval does not include the hypothesized value of the parameter. 2. Consider the null hypothesis H0: p = 0.18 indicates that the proportion of fat content of the burgers being sold in the canteen is 18% or less. Which of the following is true about the type I and type [I error? A. A type I error occurs when the actual proportion is about 18% or more, but the null hypothesis is rejected. A type II error when the actual proportion is about18% or less but the null hypothesis is rejected. 8. A type I error occurs when the actual proportion is about 18% or less, but the null hypothesis is rejected. A type II error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. C. A type I error occurs when the actual proportion is about 18% or more, but the null hypothesis is accepted. A type [I error occuIs when the actual proportion is about 18% or less, but the null hypothesis is rejected. D. A type I error occurs when the actual proportion is about 18%, and the null hypothesis is rejected. A type II error occurs when the actual proportion is about 18% or less, but the null hypothesis is rejected. For numbers 3 to I", refer to the given situation: Erwin believes that with his current internet subscription, he can download a T50 mb movie in just 14- minutes. In order to test his own claim, he took a random sample of 10 downloading time obtained a mean of 14.?5 minutes with standard deviation of 1.?5 minutes. 3. What are the null and alternate hypotheses? A. Ha:,u = 14; Hui.\" at 14 C. Hagu { 14-; Hm at 14- B. Hagu. at 14; H0:,u = 14- D. Han; 0 B. Ho: M1 - M2 = 0 Us HA: M1 - M2