In a study of the accuracy of fast food drive-through orders, one restaurant had 37 orders that were not accurate among 308 orders observed. Use a 0.01 significance level to test the claim that the rate of inaccurateorders is equal to 10%. Does the accuracy rate appear to be acceptable?Identify the null and alternative hypotheses for this test. Choose the correct answer below.O A. Ho:p=0.1H:p<0.1O B. Ho: p=0.1H,: p>0.1OC. Ho: p#0.1H,:p=0.1O D. Ho: p=0.1H,:p#0.1Identify the test statistic for this hypothesis test.

Solution. Given that total number of order n=308 and x=37 alpha=0.01 Claim : the rate of inaccurate…

Answered: In a study of the accuracy of fast food…

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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A medical equipment manufacturer believes that the proportion of faulty blood pressure monitors is greater than 0.11, the proportion stated by the supplier. We perform a hypothesis test at a significance level of 0.05 with the null and alternative hypothesis as follows: Ho: p = 0.11 and Ha: p < 0.11. A researcher inspects 150 items and finds 25 faulty ones. She gives a p-value of 0.01 in her analysis. Which of the following definitions is the correct interpretation of the p-value? O The probability of getting 25 or more faulty blood pressure monitors out of 150 if the true faulty rate is 0.11. The value that the z-statistic must be less than in order to reject the null hypothesis. The probability of rejecting a true null hypothesis. O The probability that the true rate of faulty items is 0.01.
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A business owner claims that the proportion of take out orders is greater than 25%. To test this claim, the owner checks the next 250 orders and determines that 60 orders are take out orders The following is the setup for this hypothesis test: Ho :p 0.25 Ha p>0.25 In this example, the p-value was determined to be 0.643. come to a conclusion and interpret the results for this hypothesis test for a proportion (use a significance level of 5%) Select the correct answer below: O The decision is to reject the Null Hypothesis. The conclusion is that there is enough evidence to support the claim. The decision is to fail to reject the Null Hypothesis. The conclusion is that there is not enough evidence to support the claim.
Kenneth, a competitor in cup stacking, claims that his average stacking time is 8.2 seconds. During a practice session, Kenneth has a sample stacking time mean of 7.8 seconds based on 11 trials. At the 4% significance level, does the data provide sufficient evidence to conclude that Kenneth's mean stacking time is less than 8.2 seconds? Accept or reject the hypothesis given the sample data below. H0:μ=8.2 seconds; Ha:μ<8.2 seconds α=0.04 (significance level) z0=−1.75 p=0.0401 Select the correct answer below: a. Do not reject the null hypothesis because the p-value 0.0401 is greater than the significance level α=0.04. b. Reject the null hypothesis because the p-value 0.0401 is greater than the significance level α=0.04. c. Reject the null hypothesis because the value of z is negative. d. Reject the null hypothesis because |−1.75|>0.04. e. Do not reject the null hypothesis because |−1.75|>0.04.
Consider a drug that is used to help prevent blood clots in certain patients. In clinical trials, among 6167 patients treated with this drug, 150 developed the adverse reaction of nausea. Use a 010 significance level to test the claim that 3% of users develop nausea. Does nausea appear to be a problematic adverse reaction? Identify the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho p 0.03 H, p=003 O B. H, p=0.03 H p0.03
An online poll asked: "Do you believe the Loch Ness monster exists?" Among 22185 responses, 69%were "yes." Use a 0.10 significance level to test the claim that most people believe that the Loch Ness monster exists. How is the conclusion affected by the fact that Internet users who saw the question could decide whether to respond? Identify the null and alternative hypotheses for this test. Choose the correct answer below. A. H0: p>0.5 H1: p=0.5 B. H0: p=0.5 H1: p<0.5 C. H0: p=0.5 H1: p>0.5 D. H0: p=0.5 H1: p≠0.5 Part 2 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is enter your response here. (Round to two decimal places as needed.) Part 3 Identify the P-value for this hypothesis test. The P-value for this hypothesis test is enter your response here. (Round to three decimal places as needed.) Part 4 Identify the conclusion for this hypothesis test.…
Consider a drug that is used to help prevent blood clots in certain patients. In clinical trials, among 6052 patients treated with this drug, 149 developed the adverse reaction of nausea. Use a 0.05 significance level to test the claim that 3% of users develop nausea. Does nausea appear to be a problematic adverse reaction? Identify the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho: p=0.03 H;:p>0.03 O B. Ho: p#0.03 H;:p= 0.03 OC. Ho: p= 0.03 H4: p+0.03 O D. Ho: p= 0.03 H:p<0.03 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is. (Round to three decimal places as needed.) Identify the conclusion for this hypothesis test.
Consider a drug testing company that provides a test for marijuana usage. Among 266 tested subjects, results from 27 subjects were wrong (either a false positive or a false negative). Use a 0.05 significance level to test the claim that less than 10 percent of the test results are wrong. Identify the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho: p0.1 O C. Ho: p= 0.1 H: p#0.1 O D. Ho: p=0.1 H:p<0.1 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is (Round to three decimal places as needed.) Identify the conclusion for this hypothesis test. O A. Fail to reject Ho. There is sufficient evidence to warrant support of the claim that less than 10 percent of the test results are wrong. O B. Reject Ho. There is sufficient evidence to warrant support of the claim that less than…
Consider a drug that is used to help prevent blood clots in certain patients. In clinical trials, among 5973 patients treated with this drug, 153 developed the adverse reaction of nausea. Use a 0.10 significance level to test the claim that 3% of users develop nausea. Does nausea appear to be a problematic adverse reaction? Identify the null and alternative hypotheses for this test. Choose the correct answer below. O A. Ho:p= 0.03 H:p0.03 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is (Round to two decimal places as needed.)
In a study of the accuracy of fast food drive-through orders, one restaurant had 38 orders that were not accurate among 335 orders observed. Use a 0.10 significance level to test the claim that the rate of inaccurate orders is equal to 10%. Does the accuracy rate appear to be acceptable? Identify the null and alternative hypotheses for this test. Choose the correct answer below. Ho:p = 0.1 H4:p#0.1 O B. Ho: p#0.1 H1:p=0.1 OC. Ho: p=0.1 H:p0.1 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is 0.82 (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is (Round to three decimal places as needed.) Enter your answer in the answer box and then click Check Answer. Final Check parts 2 remaining Clear All MacBook Pro 4) トII トト 88 F10 F7 F9 esc F3 F5 F4 F1 F2 @ 2$ % & delete 2 3 4 6. 7 8 Q W E T Y tab F G K A S caps lock くつ DI
Question 5 A subject looks at an image consisting of two simple objects, O₁ and O2, while an eye-tracker returns the (x, y) coordinates of the focus of his gaze. When the subject looks at O₁, the a coordinate of the focus of gaze is characterised by a Gaussian probability density function 9₁ with mean -5 and variance 5, while a Gaussian probability density functiom 92 with mean 5 and variance 7 is used for object O₂. The probabilities that the subject looks at objects O₁ and O₂ are P(O₁) = 0.6 and P(O2₂) = 0.4. 1. Calculate the posterior probability P(0₁|x = 1) 2. Is it more probable that the subject was looking at object O₁ or O₂?

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