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- THE SOLUTION SHOULD BE 500 WORDS3)Suppose we are testing a null hypothesis against a two-sided alternative, then the alternative can be written as: A. E(Y) > μY,0 B. E(Y) = μY,0 C. ≠ μY,0 D. E(Y) ≠ μY,026. A mail order company has conducted a survey to assess whether at least 95% of their customers are satisfied with their most recent order. The results show that of the 280 customers asked, 270 said they were satisfied, with the final 10 saying they were dissatisfied. They have asked you to A conduct a hypothesis test at the 5% level to assess whether there is sufficent evidence to show that more than 95% of their customers are satisfied. What should your null and alternative hypotheses be? Ho:u = 0.95 H1:µ > 0.95 Ho:µ > 0.95 H:µ = 0.95 Ho:u 0.95 = 0.95 H: µ + 0.95 Ho:µ + 0.95 H:µ = 0.95
- During 2009-2012, the U.S. federal government shut off the water supply to a huge section of farmland in the California Central Valley. The result was that tens of thousands of acres of good farmland have turned into desert land and many farmers went bankrupt. This is a good example of a positive externaility. True or False True Falseplease quickly thanks !In the p-value approach to hypothesis testing, we reject the null hypothesis if O p-value > 0.05 O p-value 0.05 O p-value 0.05 O p-value < 0.05
- 7 Which of the following statements about Type I and Type II errors is correct: a Type I: Do not reject a false null hypothesis. Type II: Reject a true null hypothesis. b Type I: Reject a false null hypothesis. Type II: Reject a true null hypothesis. c Type I: Reject a true null hypothesis. Type II: Do not reject a false null hypothesis. d Type I: Reject a true alternative hypothesis. Type II: Do not reject a false alternative.the probability of reaching the wrong conclusion to 0.05 the probability of a Type II error equal to 0.05 the probability of reaching the correct conclusion equal to 0.05 the probability of a Type I error equal to 0.05 attached in ss below thanksThe score of 8 candidates prior and after training are given below Test the hypothesis whether performance improved after the training at 5% los. Prior 84 48 36 37 54 69 83 96 After 90 58 42 44 62 81 84 86
- I have data on the mean price charged for knee replacements (the variable is called, meancharge) at a sample of US hospitals. In STATA, I test whether mean price charge for knee replacement in the population is less than $42.500. The output is shown here. Which of the following statements is false? O. I cannot reject the null hypothesis at the 5% significance level. O. I cannot reject the null hypothesis at the 10% significance level. O. I reject the null hypothesis at the 10% significance level. O. I cannot reject the null hypothesis at the 1% significance level.Question 4 Question 4. Microsort is a genetics company that advertises a product that supposedly increases the chance of a female birth for couples planning to have children. In their experimentation process, they set up the null hypothesis and alternative hypotheses as follows: Ho: the product does not work H: the product works The alpha error is "saying that the product works when in fact it does not" Which statement below is correct regarding this experiment? a) a. They should set the alpha level to 1 (or 100%). O b) b. They should set the alpha level to 0. O c) c. From the point of view of Microsoft, they will likely desire to set the alpha lower laconnorad to hiahorl on a orohahilitu.cealeYou are choosing a place for vacation (Among A to E) A Criteria Cost Size of a room Location View Water sports W/53 3 1 3 B 4 2 4 3 C 4 5 1 4 D 3 4 2. Conjunctive model (minimum cutoff = 2) 5 3 3 E23 5 1 5 Importance 35 25 20 15 5 What is the choice using each of the following choice models (explain your answers): 1. Compensatory model (Sum of Evaluation x Importance)
