Part 1:An experiment was conducted to determine the effect of Hexafluoroethane C:Fs flow rate on theuniformity of the etch on a silicon wafer used in integrated circuit manufacturing. Four flow rates (instandard cubic centimeter per minute) are used in the experiment and the resulting uniformity (inpercent) is shown here.C2F6 Flow125 sccm160 sccm 200 sccm 220 sccm4.004.053.993.974.014.023.984.023.973.954.004.024.013.993.994.044.014.004.00a. Identify the independent (factor) and dependent (response) variables in this study. What are thetreatments? What are the experimental units? How can this be modelled by a completelyrandomized design experiment?b. Is the assumption of homogeneity of variances among the 4 groups satisfied? Justify by doing an8-step procedure using Levene's approach. Use a 0.05 level of significance. STATISTICA output orPHSTAT output is also required. Is the assumption of normality for each treatment groupsatisfied? Justify by doing an 8-step procedure using Shapiro Wilk approach. Use a 0.05 level ofsignificance. STATISTICA output is also required. What are the appropriate null and alternative hypotheses for this study? What is the decision ruleusing the critical number approach at the 0.05 level of significance? Make a sketch. Construct thec.ANOVA table. Show complete solutions for SST, SSTT, SSE, MSTT, MSE, F. Prove that there issufficient evidence that different treatments have a significant effect on uniformity at a = 5% bothby critical value and p-value approaches. STATISTICA output or PHSTAT output is also required.d. Perform an appropriate post-hoc analysis to determine which treatment means differ. Completethe Tukey-Kramer multiple pairwise comparisons by computing each absolute paired difference,the HSD (Q-critical range), and copy the corresponding p-value from STATISTICA results. Orsubmit the PHSTAT solution. Summarize your answer.

"Since you have asked multiple questions, we will solve the first question for you. If you want any…

Answered: Part 1: An experiment was conducted to…

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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Similar questions

A chi-square test of independence value of χ^2=5.36 is calculated from data in a 2 × 2 contingency table. Assuming a .05 level of significance, What is the degree of freedom? Identify the critical value. Do you reject, or fail to reject, the null hypothesis?
A simple random sample of front-seat occupants involved in car crashes was obtained. Among 7,000 occupants not wearing seat belts, 18were killed. Among 7765 occupants wearing seat belts, 16 were killed. Use a 0.01 significance level to test the claim that seat belts are effective in reducing fatalities using the critical value approach. a) Define parameters and state null and alternative hypothesis. b)Test statistics c) P-value d) Conclusion
What are the results of individual t-tests for the parameters of each predictor variable? Is each of the predictor variables statistically significant based on its P-value? Use a 1% level of significance.
A law enforcement agent believes that more than 88% of the drivers stopped on Saturday nights for speeding are under the influence of alcohol. A sample of 60 drivers who were stopped for speeding on a Saturday night were taken and 54 of the drivers in the sample were under the influence of alcohol. Question 1State the null and alternative hypotheses. Question 2Determine the critical value and rejection region (rounded off to three decimals). Question 3Calculate the test statistic (rounded off to two decimals) and interpret your finding
A random sample of 170 donations at a certain blood bank reveals that 84 were Type A blood. Does this suggest that the actual percentage of Type A donations differs from 45%, of the population having Type A blood? A. State H0 and Ha B. Test the hypothesis using the P-Value approach at a significance level of 3%, and express your decision. C Based on the given data, determine the extreme value without rejecting the H0.
The table below summarizes data from a survey of a sample of women. Using a 0.01 significance level, and assuming that the sample sizes of 900 men and 300 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? what is the test static? what is the critical value? what is th P-value? Gender of Interviewer Man Woman Women who agree 572 243 Women who disagree 328 57 Chi-square Degrees of Freedom 0.995 0.99 0.975 0.95 0.90 0.10 0.05 0.025 0.01 0.005 1 - - 0.001 0.004 0.016 2.706 3.841 5.024 6.635 7.879 2 0.010 0.020 0.051 0.103 0.211 4.605 5.991 7.378 9.210 10.597 3 0.072 0.115 0.216 0.352 0.584 6.251 7.815 9.348 11.345…
Do the following:1)State the null and alternate hypothesis.2)Draw a picture of regions of rejection and non-rejection, and find critical value.3)Calculate a test statistic.4)Make a decision whether or not to reject thenull hypothesis.
A production manager focused on predictive maintenance activities as the rate of defective parts leaving a production line increased. He estimated the error numbers for 12 different error types using two different estimation methods. The template of the dataset is presented below. The production manager claims that the estimated number of errors with Method 2 will be higher than with Method 1. Test this manager's assertion with the Sign Test at a = 0.05 significance level. Set up the relevant hypotheses, show all the application steps of the method and interpret the results you have obtained.
In a clinical trial of the effectiveness of echinacea for preventing colds, the results in the table below were obtained. Use a 0.05 significance level to test the claim that getting a cold is independent of the treatment group. What do the results suggest about the effectiveness of echinacea as a prevention against colds? Can we conclude that the prevention against colds relies on the use of echinacea? Treatment Group Placebo Echinacea: 20% extract Echinacea: 60% extract Got a Cold 82 45 41 Did Not Get a Cold 11 2 9 Round to four decimal places if necessary. a) Write the hypotheses b) The expected frequency of people who used 20% extract of Echinacea and got a cold is . The expected frequency of people who used 40% extract of Echinacea and did not get a cold is . c) significance level: α = d) Test statistic: e) Compute p-value of the test statistic. f) Decision: g) Write conclusion
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If conducting a two-sided test at level of significance 0.05 based on a sample of size 20, the critical t-value is ?
is there evidence that the average infant mortality rate increases with teen birth rate? assume that the significance level is 0.05. i. state the null and alternative hypothesis. ii. should we reject or fail to reject the null? iii. justify using the rejection region

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