The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. What parameter is being tested? Ho: p = 0.8 H: p # 0.8 Lec What type of test is being conducted in this problem? Exa O Two-tailed test O Right-tailed test O Left-tailed test

The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. What parameter is being tested? Ho: p = 0.8 H: p # 0.8 Lec What type of test is being conducted in this problem? Exa O Two-tailed test O Right-tailed test O Left-tailed test

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Description: The null and alternative hypotheses are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. Whatparameter is being tested?-and PracticeHo: p = 0.8%3Dn RecordingsH1: p z 0.8Tube Video LecWhat type of test is bein

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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In quality–control applications of hypothesis testing, the null and alternative hypotheses are frequently specified as H0: The production process is performing satisfactorily and Ha: The process is performing in an unsatisfactory manner. Accordingly, α is sometimes referred to as the producer's risk, while β is called the consumer's risk. An injection molder produces plastic golf tees with a mean weight of 0.252 ounce. To investigate whether the injection molder is operating satisfactorily, 40 tees were randomly sampled from the last hour's production. Their weights (in ounces) are listed in the accompanying table. Complete parts a through g. 0.248 0.251 0.249 0.250 0.255 0.251 0.251 0.248 0.248 0.251 0.254 0.252 0.256 0.251 0.252 0.253 0.250 0.254 0.254 0.254 0.251 0.251 0.252 0.249 0.249 0.251 0.252 0.253 0.248 0.252 0.252 0.252 0.249 0.252 0.249 0.253 0.252 0.249 0.249 0.251 b.…
In quality–control applications of hypothesis testing, the null and alternative hypotheses are frequently specified as H0: The production process is performing satisfactorily and Ha: The process is performing in an unsatisfactory manner. Accordingly, α is sometimes referred to as the producer's risk, while β is called the consumer's risk. An injection molder produces plastic golf tees with a mean weight of 0.252 ounce. To investigate whether the injection molder is operating satisfactorily, 40 tees were randomly sampled from the last hour's production. Their weights (in ounces) are listed in the accompanying table a. Write H0 and Ha in terms of the true mean weight of the golf tees, μ. A. H0: μ=0.252 Ha: μ<0.252 B. H0: μ=0.252 Ha: μ≠0.252 C. H0: μ=0.252 Ha: μ>0.252 D. H0: μ≠0.252 Ha: μ=
Q4. The evidence against the null hypothesis mounts as the p-value gets: A. Larger and larger B. Smaller and smaller
A small diner gets eggs from 2 suppliers. a sample of 50 eggs from supplier A had a STDEV of 1.1 grams. a sample from supplier B of 40 eggs had a STDEV of .75 grams.a) Construct a 99% confidence for STDEV of supplier BB) at a 4% confidence, conduct a hypothesis test to determine if theres any difference in STDEV between supplier a and b
The vice-president of administration wonders whether employees are taking adequate amounts of vacation time. Employee burnout is a concern. Research suggests that an employee taking less than 1.4 weeks of vacation annually is very likely to experience burnout. Analyze the employee vacation data and conduct a hypothesis test with the following results: t = 2.93p = 0.0084 What reasons should the vice-president provide to the president to justify the recommendation on employee burnout? Based on the data, is the presence of employee burnout an issue that may negatively impact the company?
An automobile manufacturer is considering using robots for part of its assembly process. Converting to robots is an expensive process, so it will be undertaken only if there is strong evidence that the proportion of defective installations is less for the robots than for human assemblers. Let p denote the actual proportion of defective installations for the robots. It is known that the proportion of defective installations for human assemblers is 0.02. (a) Which of the following pairs of hypotheses should the manufacturer test? H0: p = 0.02 versus Ha: p < 0.02 or H0: p = 0.02 versus Ha: p > 0.02 Explain your answer. H0: p = 0.02 versus Ha: p < 0.02, as the conversion will only happen if the proportion of defective installations is higher for robots.H0: p = 0.02 versus Ha: p < 0.02, as the conversion will only happen if the proportion of defective installations is lower for robots. H0: p = 0.02 versus Ha: p > 0.02, as the conversion will only happen if the…
Find the quantity (deviance) for testing the hypothesis H0 and the pvalue used
A store manager hypothesizes that the average number of pages a person copies on the store’s copy machine is less than 40. A sample of 50 customers’ orders is selected. At a = 0.01, is there enough evidence to support the claim? Use the P-value hypothesis-testing method State the hypotheses and identify the claim. 1. Ho: μ D 40 (Choose the letter of the best answer) A. < B. > C. ≤ D. ≥ E. = F. ≠ 2. Ha: μ 40 (Choose the letter of the best answer) A. < B. > C. ≤ D. ≥ E. = F. ≠ 3. The claim is (Choose the letter of the best answer) A. Ho B. Ha 4. Type of Test: - tailed test (Choose the letter of the best answer) A. Right B. Left C. Two 5. Compute the test value. Test Value = (Type the exact answer) 6. Find the P-value P-value: (Type the exact answer) Make the decision. 7. P a (Choose the letter of the best answer) A. ≤ B. > 8. Decision: Ho (Choose the letter of the…
A researcher is testing a two-tailed null hypothesis at the p < .01 level with df = 48. What critical value would she or he use? Justify your answer.
With a p value of .04 and an ⍺ of .05, should you reject or fail to reject the null hypothesis?"
A real estate broker recently took a sample of recently sold homes by her agents. The square footage of the 10 homes was as follows: a) 2420 1750 3200 2785 2800 1800 1950 2100 2005 2000 b) Is there evidence that the average home sold was greater than 2000 square feet? Make sure to state the null and alternative hypothesis and supporting output. Use a = .05.
Previously, an organization reported that teenagers spend 4.5 hours per week, on average, on the phone. The organization thinks that, currently, the mean is higher. Fifteen randomly chosen teenagers were asked how many hours per week they spend on the phone. The sample mean was 4.75 hours with a sample standard deviation of 2.0. Conduct a hypothesis test. The null and alternative hypotheses are: A. H0:μ=4.75H0:μ=4.75Ha:μ>4.75Ha:μ>4.75 B. H0:μ=4.5H0:μ=4.5Ha:μ>4.5Ha:μ>4.5 C. H0:μ≥4.5H0:μ≥4.5Ha:μ<4.5Ha:μ<4.5 D. H0:p=4.5H0:p=4.5Ha:p>4.5