11. In semiconductor manufacturing, wet chemical etching is often used to remove silicon from the backs of wafers prior to metalization. The etch rate is an important characteristic in this process and known to follow a normal distribution. Two different etching solutions have been compared, using two random samples of 10 wafers for each solution. The observed etch rates are as follows (in mils per minute): Wafer Solution 1 Solution 2 1 9.9 10.2 2 9.4 10.6 3 9.3 10.7 4 9.6 10.4 5 10.2 10.5 6 10.6 10.0 7 10.3 10.2 8 10.0 10.7 9 10.3 10.4 10 10.1 10.3 Do the data support the claim that the mean etch rate of solution 1 exceeds that of solution 2? In reaching your conclusions, use a-0.05.

11. In semiconductor manufacturing, wet chemical etching is often used to remove silicon from the backs of wafers prior to metalization. The etch rate is an important characteristic in this process and known to follow a normal distribution. Two different etching solutions have been compared, using two random samples of 10 wafers for each solution. The observed etch rates are as follows (in mils per minute): Wafer Solution 1 Solution 2 1 9.9 10.2 2 9.4 10.6 3 9.3 10.7 4 9.6 10.4 5 10.2 10.5 6 10.6 10.0 7 10.3 10.2 8 10.0 10.7 9 10.3 10.4 10 10.1 10.3 Do the data support the claim that the mean etch rate of solution 1 exceeds that of solution 2? In reaching your conclusions, use a-0.05.

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 poll conducted in 2013 found that 52% of U.S. adult Twitter users get at least some news on Twitter, and the standard error for this estimate was 2.4%. Identify each of the following statements as true or false. Provide an explanation to justify each of your answers. (a) The data provide statistically significant evidence that more than half of U.S. adult Twitter users get some news through Twitter. Use a significance level of α = 0.01. (This part uses concepts from Section 5.3 and will be corrected in a future edition.) (b) Since the standard error is 2.4%, we can conclude that 97.6% of all U.S. adult Twitter users were included in the study. (c) If we want to reduce the standard error of the estimate, we should collect less data. (d) If we construct a 90% confidence interval for the percentage of U.S. adults Twitter users who get some news through Twitter, this confidence interval will be wider than a corresponding 99% confidence interval.
You want to estimate the difference between two population proportions using an 80% confidence interval. You need to take samples that are large enough, so that the width of the confidence interval does not exceed 5.0%. You wish to take two samples (one from each population) of the same size n. The populations have not been sampled before, and therefore you have no information about what the two proportions may be. Using the most conservative estimates for the two population proportions, what is the minimum sample size you will need (for both of the samples)? (Round the result up to the nearest integer.)
You may need to use the appropriate appendix table or technology to answer this question. Consider the following results for independent samples taken from two populations. Sample 1 Sample 2 n1 = 400 n2 = 300 p1 = 0.49 p2 = 0.32 (a) What is the point estimate of the difference between the two population proportions? (Use p1 − p2. ) (b) Develop a 90% confidence interval for the difference between the two population proportions. (Use p1 − p2. Round your answer to four decimal places.) to (c) Develop a 95% confidence interval for the difference between the two population proportions. (Use p1 − p2. Round your answer to four decimal places.) to
5.24 please
How would i find: the 90% confidence interval is enter your response here <(p1−p2)< enter your response here.
For the hypothesis system H0: u=c versus Ha: u doesn't equal c Give the absolute value of the calculated test statistics which would correspond to the standard P-value. Consider the population normally distributed. P-value= 0.026
(2) Choose the one alternative that best completes the statement or answers the question. Assume two independent random samples are available which provide sample proportions. For the first sample assume n₁ = 100 and x₁= 39. For the second sample, assume n₂= 100 and x₂= 49. Test the null hypothesis that the population proportions are equal versus the alternative hypothesis that the proportions are not equal at the 90% confidence level. Frame the test statistic by subtracting the proportion for population 1 from that for population 2. Pick an appropriate z value, p-value and conclusion. Round your answer to the nearest thousandth. Note that this is a two- tailed test. z-value = -1.425 p-value= 0.077 statistically significant z-value = 1.425 p-value= 0.077 statistically significant z-value = -1.425 p-value= 0.077 not statistically significant z-value = 1.425 p-value= 0.154 statistically not significant
Step 1 of 3: Find the critical value that should be used in constructing the confidence interval. Round your answer to three decimal places. Round your answer to three decimal places Step 2 of 3: Find the Margin of Error. Round your answer to six decimal places Step 3 of 3: Calculate the 98% confidence interval. Round your answer to six decimal places
Provide an appropriate response. Test the hypothesis that p1 = P2. Use a = 0.05. The sample statistics listed below are from independent samples. Sample statistics: n1 = 50, x1 35, and n2 = 60, x2 = 40 Step 1) State the null and alternative hypotheses. Step 2) Determine the critical value for the level of significance, a. Step 3) Find the test statistic or P-value. Step 4) Will the researcher reject the null hypothesis or do not the null hypothesis: Step 5) Write the conclusion. HTML Editor BIUA A、IE三= Ex x E 曲。 12pt Pa SAMSUNG 10