Problem 6 Hypothesis Testing: Uniform and Uniform) Consider a binary hypothesis testing problem i...
(Hypothesis Testing: Uniform and Uniform) Consider the binary hypothesis testing problem in which the hypotheses H=0 and H=1 occur with probability PH(0) and PH(1)=1- PH(0), respectively. The observation Y is a sequence of zeros and ones of length 2k, where k is a fixed integer. When H=0, each component of Y is 0 or a 1 with probability ½ and components are independent. When H=1, Y is chosen uniformly at random from the set of all sequences of length 2k...
decide Tthe problern is easy? Problem 2 (The "Weather frog") Let us assume that a "weather frog" bases his forecast for tomorrow's weather entirely on today's air pressure. Determining a weather forecast is a hypothesis testing problem. For simplicity, let us assume that the weather frog only needs to tell us if the forecast for tomorrow's weather is "sunshine" or "rain". Hence we are dealing with binary hypothesis testing. Let H 0 mean "sunshine" and H 1 mean "rain". We...
1. In hypothesis testing, the hypothesis that is assumed to be true for the purpose of testing is called the hypothesis 2. (Circle the correct response) In hypothesis testing, critical values used to make a rejection decision regarding the null hypothesis are determined by the nature of the hypothesis test (two-tail vs. one-tail) and the d. significance level a. sample size b. population parameter c. target value 3. (Circle the correct response) In the process of hypothesis testing, the test...
6. Which of the following statements about hypothesis testing are true? • A type I error occurs if H, is rejected when it is true. • A type II error occurs if He is rejected when it is true. • The power of a test is the probability of failing to reject H, when it is false.
A random sample of size n -8 is drawn from uniform pdf f(x,θ)- , 0-XS θ for the purpose of testing Ho : θ-2 against H, : θ < 2 at α : 0.10 level of significance. Suppose the decision rule is to be based on Xmax, the largest order statistic. What would be the probability of committing a Type II error when θ 1.7. A random sample of size n -8 is drawn from uniform pdf f(x,θ)- , 0-XS...
6. Which of the following statements about hypothesis testing are true? • A type I error occurs if His rejected when it is true. • A type II error occurs if H, is reject ed when it is true, • The power of a test is the probability of failing to reject H, when it is false,
i got a=0.008 for question a. i need help for question b a. Consider the hypothesis testing: H : H = 40, H : H > 40. Assume population standard deviation is o = 5. Take a sample with size 36. The decision making rule is set as: If i < 42, accept Ho; if i > 42, reject H. Based on this decision making rule, find a. b. Consider the hypothesis testing: H: = 40. H: > 40. Assume...
This problem is designed to give you an understanding of the methodology behind hypothesis testing. Ever wonder how someone in America can be arrested if they really are presumed innocent, why a defendant is found not guilty instead of innocent, or why Americans put up with a justice system which sometimes allows criminals to go free on technicalities? These questions can be understood by understanding the similarity of the American justice system to hypothesis testing in statistics and the two...
Consider this testing situation. A box contains 16 chips (with some mixture of red and black chips). Suppose we have the following hypotheses: HO: The box contains R=8 red and B=8 black chips. HA: The box contains some other mixture of red and black chips. We randomly select 5 chips simultaneously from the box without replacement. Our Test Statistic is the Y = # of Black chips found in the sample. Suppose we use the following decision rule:...
You are testing the null hypothesis that there is no linear relationship between two variables, X and Y. You are given the following regression results, where the sample size is 10., Coefficients Standard Error Intercept -1.2 1 X 2 2 a) What is the value of the t test statistic? b) At the α = 0.05 level of significance, what are the critical values? c) Based on your answer to (a) and (b), what statistical decision should you make?