Using the following data. Xi Yi 1 3 2 7 3 5 4 11 5 14 Use the F test to test the hypotheses at a .05 level of significance, and conclude if the null hypothesis is rejected or not. Options for question: a)none b) do not reject the null hypothesis c) reject the null hypothesis

Using the following data. Xi Yi 1 3 2 7 3 5 4 11 5 14 Use the F test to test the hypotheses at a .05 level of significance, and conclude if the null hypothesis is rejected or not. Options for question: a)none b) do not reject the null hypothesis c) reject the null hypothesis

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Food inspectors inspect samples of food products to see if they are safe. This can be thought of as a hypothesis test with the following hypotheses. Họ: the food is safe Ha: the food is not safe The following is an example of what type of error? The sample suggests that the food is safe, but it actually is not safe. O type I O type II O not an error > Next Question Ce 24 % & 4. 5n 7 y 60 00 # 3m
ANSWER A B C (b)Based on the answer to part (a), choose the correct statement. ___ The value of the test statistic is in the rejection region. ___ The value of the test statistic is not in the rejection region. (c)Based on your answer to part (b), which of the following statements is true at the significance level of 0.10 ? ___The null hypothesis must be rejected. ___The null hypothesis should not be rejected.
Suppose that, in a hypothesis test, the null hypothesis is in fact true. a. Is it possible to make a Type I error? Explain your answer. b. Is it possible to make a Type II error? Explain your answer. a. Is it possible to make a Type I error? A. Yes, it is possible. A Type I error is not rejecting the null hypothesis when it is in fact false. B. No, it is not possible. A Type I error is not rejecting the null hypothesis when it is in fact false. C. Yes, it is possible. A Type I error is rejecting the null hypothesis when it is in fact true. D. No, it is not possible. A Type I error is rejecting the null hypothesis when it is in fact true. b. Is it possible to make a Type II error? A. No, it is not possible. A Type II error is not rejecting the null hypothesis when it is in fact false. B. No, it is not possible. A Type II error is rejecting the null hypothesis when it is in fact true. C. Yes, it is possible. A Type II error is rejecting the…
A box model is used to conduct a hypothesis test for the following scenario: A marketing firm randomly selects 500 households in a town asking about their annual income. They want to test whether the percentage of households in town that have annual income above $100,000 is 50%. The SD of the ticket values in the box assuming the null hypothesis is true is best described as... a. Random and unknown; it must be estimated b. Fixed and unknown; it must be estimated c. Random and known d. Fixed and known
A textbook publisher claims that 75% of college students enrolled in a course that uses their textbooks pass the class. One professor thinks the proportion is actually higher. He surveys 111 students in classes that use a textbook from the textbook publisher and finds the 92 of those students ultimately pass the class. Perform a hypothesis test using a 4% level of significance. Step 1: State the null and alternative hypotheses. Ho: ?v?v Ha: ? ?v (So we will be performing a Select an answer v test.) Step 2: Assuming the null hypothesis is true, determine the features of the distribution of point estimates using the Central Limit Theorem. By the Central Limit Theorem, we know that the point estimates are Select an answer v with distribution mean and distribution standard deviation Step 3: Find the p-value of the point estimate. P(? v ? v = P(?v?v p-value = Step 4: Make a Conclusion About the null hypothesis. Since the p-value = = a, we Select an answer v the null hypothesis. O We cannot…
Food inspectors inspect samples of food products to see if they are safe. This can be thought of as a hypothesis test with the following hypotheses. Họ: the food is safe H3: the food is not safe The following is an example of what type of error? The sample suggests that the food is safe, but it actually is not safe. type I O type II O not an error
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject Ho when the level of significance is (a) a = 0.01, (b) a = 0.05, and (c) a = 0.10. P= 0.0158 (a) Do you reject or fail to reject Ho at the 0.01 level of significance? O A. Reject H, because the P-value, 0.0158, is greater than a = 0.01. O B. Fail to reject H, because the P-value, 0.0158, is greater than a = 0.01. O C. Fail to reject Ho because the P-value, 0.0158, is less than a = 0.01. O D. Reject Ho because the P-value, 0.0158, is less than g = 0.01. (b) Do you reject or fail to reject Ho at the 0.05 level of significance?
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A poll of 1081 Americans showed that 46.8% of the respondents prefer to watch the news rather than read or listen to it. Use those results with a 0.05 significance level to test the claim that fewer than half of Americans prefer to watch the news rather than read or listen to it. Use the P-value method. Use the normal distribution as an approximation to the binomial distribution.
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