1. A semiconductor manufacturer produces controllers used in automobile engine applications.The customer requires that the process fallout or fraction defective at a critical manufacturingstep be less than 0.05 and that the manufacturer demonstrate process capability at this level ofquality using alpha 0.05. The semiconductor manufacturer takes a random sample of 200 devicesand finds that four of them are defective. Can the manufacturer demonstrate process capabilityfor the customer?A. What is the appropriate null and alternative hypothesis for this test?B. The critical value isC. The test statistic isD. The p-value is equal toE. The correct decision is to (reject or not reject) Ho.F. The correct conclusion is that there is (significant or insignificant) sample evidence to showthat the manufacturer (demonstrates or does not demonstrate) process capability for thecustomer.

a. Hypotheses: H0 : p = 0.05 and Ha : p < 0.05 b. Critical value: From the z-table, look for…

Answered: 1. A semiconductor manufacturer…

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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4. At the 0.05 level, can we conclude there is a difference between the students’ fall weight and spring weight? Draw a random sample from the 67 college students, carefully explaining your procedure. YOU MUST USE a different “random” method this time your sample must consist of 10 students, not 20-29 Determine whether your sample provides statistical evidence that there is a difference between the students’ fall weight (before) and spring weight (after). Set alpha at 0.05. Adding on to the written report above, address question 4! o Note: It may be wise to use a hypothesis testing sheet (nice handwriting, etc…) to help with your report.
Miller (2008) examined the energy drink consumption of college undergraduates and found that males use energy drinks significantly more often than females. To further investigate this phenomenon, suppose that a researcher selects a random sample of n=36 male undergraduates and s ample of n=25 females. On average, the males reported consuming M=2.45 drinks per month and females had an average of M=1.28. Assume that the overall level of consumption for college undergraduates averages μ=1.85 energy drinks per month, that that the distribution of monthly consumption scores is approximately normal with a standard deviation of σ=1.2. Did this sample of males consume significantly more energy drinks than the overall population average? Use a one-tailed test with α =0.01. Did this sample of females consume significantly fewer energy drinks than the overall population average? Use a one-tailed test with α =0.01.
1. is the P-Value of 0.1325 is greater than the alpha level? 2. is there evidence that there is an association between identifying as a male or female and the apps TikTok and Twitter.
State the Result: A hypothesis test was conducted at the alpha = 0.01 level of significance. The test resulted in a p-value of 0.044.
a. State the null and the alternative hypotheses b. compute the test statistic c. determine the critical value and the rejection region d. draw a conclusion
A researcher uses a between-subjects ANOVA to compare the mean SAT scores from 5 school districts in the state of Idaho. He computes the following test statistic: F(4, 15) = 6.23. School District 1 2 3 4 5 M 500 560 480 430 450 SD 100 120 130 110 140 The critical value = 5.87. State the appropriate decision (reject/fail to reject) regarding the null hypothesis (alpha = 0.05). Then give a brief explanation of what the results mean in the context of this study, given the information you have been provided. I'm not looking for APA here. If you were to reject or fail to reject the null, simply explain what that means using language that anyone should be able to understand
The NAEP considers that a national average of 283 is an acceptable performance. Using α = .05, run a two-tail t-test for one sample to test Ho: µ=283 for the 2019 scores. Report the t-obt, df, and p-values. Would you reject the null hypothesis that the 2019 scores come from a population with average 283? If this is the case, does it come from a population from larger or smaller average?
A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d=(gas mileage with additive)−(gas mileage without additive). Use a significance level of α=0.05 for the test. Assume that the gas mileages are normally distributed for the population of all cars both with and without the additive. Car 1 2 3 4 5 6 7 8 9 10 Without additive 27.2 13.7 12.5 13.4 14.7 25.5 10.3 13.9 14.5 25 With additive 29.7 15.7 14.1 16.4 17.8 27.8 12.1 15 17.3 28 Step 2 of 5: Find the value of the standard deviation of the paired differences. Round your answer to two decimal places.
According to the USDA, 46.2% of males between 20 and 39 years old consume the minimum daily requirment of calcium. After an aggressive "Got Milk?' campaign, the USDA, conducts a survery of 48 randomly selected males between the ages of 20 and 39 and finds that 32 of them consume the recommended daily allowance of calcium. At the alpha =0.10 level, is there evidence to conclude that the percentage of males between the ages of 20 and 39 who consume the minimum recommended daily allowance of calcium had increased?
In a clinical trial, 23 out of 897 patients taking a prescription drug daily complained of flulike symptoms. Suppose that it is known that 2.1% of patients taking competing drugs complain of flulike symptoms. Is there sufficient evidence to conclude that more than 2.1% of this drug's users experience flulike symptoms as a side effect at the a = 0.01 level of significance? Because npo (1- Po) = V 10, the sample size is 5% of the population size, and the sample V the requirements for testing the hypothesis V satisfied. (Round to one decimal place as needed.) What are the null and alternative hypotheses? Ho: versus H1: (Type integers or decimals. Do not round.) Find the test statistic, zo- Zo = (Round to two decimal places as needed.) Find the P-value. P-value = (Round to three decimal places as needed.) Choose the correct conclusion below. A. Since P-value a, reject the null hypothesis and conclude that there is not sufficient evidence that more than 2.1% of the users experience flulike…

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