The standard deviation in the pressure required to open a certain valve is known to be o = 0.8 psi. Due to changes in the manufacturing process, the quality-controlmanager feels that the pressure variability has been reduced.(a) State the null and alternative hypotheses in words.(b) State the null and alternative hypotheses symbolically.(c) Explain what it would mean to make a Type I error.(d) Explain what it would mean to make a Type II error.(a) State the null hypothesis in words. Choose the correct answer below.A. The standard deviation in the pressure required to open any valve is 0.8 psi.B. The standard deviation in the pressure required to open a certain valve is different from 0.8 psi.C. The standard deviation in the pressure required to open a certain valve is greater than 0.8 psi.D. The standard deviation in the pressure required to open a certain valve is 0.8 psi.State the alternative hypothesis in words. Choose the correct answer below.O A. The standard deviation in the pressure required to open a certain valve is less than 0.8 psi.B. The standard deviation in the pressure required to open a certain valve is 0.8 psi.C. The standard deviation in the pressure required to open any valve is 0.8 psi.D. The standard deviation in the pressure required to open a certain valve is different from 0.8 psi.(b) State the hypotheses symbolically.Ho:psiO O

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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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Null and Alternative Hypotheses: (a) According to USDA, the average egg in a carton of 12 eggs weighs around 2 oz. A consumer has a suspicion that a particular producer sells eggs of lower weight. State the hypotheses (Ho & Ha) in words to validate the consumer's belief. (b) Hemoglobin is a protein in red blood cells that transports oxygen from the lungs to the body's tissues. People with less than 12 grams of hemoglobin per deciliter of blood (g/dl) are considered anemic. A public health official in Oklahoma suspects that the mean hemoglobin of children in Oklahoma is different than 12. State the hypotheses (Ho & Ha) in words to verify the public health official's belief.
Identify the type I error and the type II error that correspond to the given hypothesis. The percentage of adults who have a job is less than 88%. dentify the type I error. Choose the correct answer below. A. Fail to reject the null hypothesis that the percentage of adults who have a job is less than 88% when the percentage is actually equal to 88%. B. Reject the null hypothesis that the percentage of adults who have am jobm is equal to 88% when that percentage is actually equal to 88%. C. Fail to reject the null hypothesis that the percentage of adults who have a job is equal to 88% when that percentage is actually less than 88%. D. Reject the null hypothesis that the percentage of adults who have a job is less than 88% when that percentage is actually less than 88%. Identify the type II error. Choose the correct answer below. A. Reject the null hypothesis that the percentage of adults who have a job is less than 88% when that percentage is actually less…
Statistically Graph appropriately with each problem.
Fertilizer: A new type of fertilizer is being tested on a plot of land in an orange grove, to see whether it increases the amount of fruit produced. The mean number of pounds of fruit on this plot of land with the old fertilizer was 391 pounds. Agriculture scientists believe that the new fertilizer may increase the yield. State the appropriate null and alternate hypotheses. The null hypothesis is Ho:μ (choose one) and Answers The alternate hypothesis is H1:μ (choose one) and Answers
To evaluate the effect of a treatment, a sample is obtained from a population with a mean of 20 and the treatment is administered to the individuals in the sample. After treatment, the sample mean is found to be X = 17.7 with a standard deviation of ô = 3. (a) If the sample consists of N = 16 individuals, are the data sufficient to conclude that the treatment decreases scores? (b) If the sample consists of N = 36 individuals, are the data sufficient to conclude that the treatment decreases scores? (c) Comparing your answers for parts (a) and (b), how does the size of the sample influence the size of the obtained Bayes factor?
You may need to use the appropriate echnology to answer this questiol Consider the following hypothesis test. Ha: Hd > 0 (a) The following data are from matched samples taken from two populations. Compute the difference value for each element. (Use Population 1 - Population 2.) Population Element 1 2 Difference 1 21 19 2 28 25 18 17 4 20 17 26 25 (b) Compute d. (c) Compute the standard deviation (d) Conduct a hypothesis test using a = 0.05. Calculate the test statistic. (Round your answer to three decimal places.) Calculate the p-value. (Round your answer to four decimal places.) p-value %3D
(d)
Question #5 Answer C and D Only!!

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