.6.13 Use Pareto analysis to investigate the following data collected on a printed-circuit-boardassembly line:DEFECTNUMBER OF DEFECT OCCURRENCESComponents not adhering143Excess adhesiveMisplaced transistorsDefective board dimension71601146Mounting holes improperly positioned12Circuitry problems on final test90Wrong component212a. Prepare a graph of the data.b. What conclusions do you reach?

The cumulative percentage is calculated by adding up the percentages of each defect as we move from…

Answered: .6.13 Use Pareto analysis 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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Suppose the following table was generated from the sample data of 2020 campuses relating the total number of crimes committed to the number of police officers on campus and if the college or university is public. Coefficients Standard Error t Stat P-Value Intercept 571.671037571.671037 17.77444017.774440 32.16253432.162534 0.0000000.000000 Number of Officers −7.396761−7.396761 0.5838990.583899 −12.667877−12.667877 0.0000000.000000 Public (1 if public, 0 otherwise) −50.219334−50.219334 7.1156727.115672 −7.057567−7.057567 0.0000020.000002 Step 1 of 2 : In this regression equation, what is the intercept value for colleges or universities that are private? Enter your answer in the space provided. Do not round your answer.
1. For each row of the table you are given a p-value and a level of significance (a). Determine which hypothesis is supported, if the data are significant and which type error could be made. If a given p- value is not a valid p-value (because it is greater than 1), put an x in each box in therow. p-value Hypothesis Họ or H1 Significant or Not Significant Error Type I or Type II 0.043 0.05 0.32 0.05 0.043 0.01 0.0035 0.01 0.043 0.10 0.15 0.10 5.6 x 106 0.05 7.3256 0.01 2. For the hypothesis test, write the concluding sentence in the form used by researchers. Context: Support paying off student dept, H1: p 8 ft, p-value-5.6 x 10°, a=0.05, n=56. 4. For the hypothesis test, write the concluding sentence in the form used by researchers. Context: Blood pressure for men and women, H1: Hw # HM ft, p-value3D0.0035, a=0.01, n=2403.
3.18. A manufacturer of television sets is interested in the effect on tube conductivity of four different types of coating for color picture tubes. A completely randomized experiment is conducted and the following conductivity data are obtained: Coating Type 1 234 2 4 143 152 134 129 Conductivity 150 137 132 132 141 149 136 127 146 143 127 129 (a) Is there a difference in conductivity due to coating type? Use a = 0.05. (b) Estimate the overall mean and the treatment effects. (c) Compute a 95 percent confidence interval estimate of the mean of coating type 4. Compute a 99 percent confidence interval estimate of the mean difference between coating types 1 and 4.
4.24 Ivy is not sure whether a particular coin is fair. She flips the coin 100 times and decides that the coin is not fair if she observes 40 or fewer heads, or 60 or more heads. State the null and alternative hypotheses Ho and H1, calculate the significance level a, and plot the power function associated with her test.
1A. State the null and research hypothesis 2A. Make a decision based on the information provided 3A. State the type of error that may exist under the condition.
B1. Advance maths
12.63 Product Response Rate. A company manufactures goods that are sold exclusively by mail order. The director of market research needed to test market a new product. She planned to send brochures to a random sample of households and use the proportion of orders obtained as an estimate of the true proportion, known as the product response rate. The results of the market research were to be utilized as a primary source for advance production planning, so the director wanted the figures she presented to be as accurate as possible. Specifically, she wanted to be 95% confident that the estimate of the product response rate would be accurate to within 1%. a. Without making any assumptions, determine the sample size required. b. Historically, product response rates for products sold by this company have ranged from 0.5% to 4.9%. If the director had been willing to assume that the sample product response rate for this product would also fall in that range, find the required sample size. c.…
Dr. Maddan's eye drops are supposed to cause significant reduction is eye redness. The following table shows the results of a recent study where a random sample of individuals took part in a placebo controlled study. No Reduction in Redness Reduction in Redness Total Eye Drops 120 220 340 No Eye Drops Total 120 140 260 240 360 600 With 5% level of significance, determine if eye redness reduction is dependent upon taking the eye drops. Provide, a. the Chi-square statistic. b. the critical value or the p-value. c. Your decision on whether or not to reject Ho.
To test for any significant difference in the number of hours between breakdowns for four machines, the following data were obtained. Machine1 Machine2 Machine3 Machine4 6.7 8.7 11.1 9.8 8.0 7.5 10.3 12.9 5.4 9.5 9.6 12.1 7.6 10.1 10.2 10.9 8.6 9.2 9.0 11.3 7.5 9.6 8.6 11.4 Use the Bonferroni adjustment to test for a significant difference between all pairs of means. Assume that a maximum overall experimentwise error rate of 0.05 is desired. Find the value of LSD. (Round your comparisonwise error rate to three decimal places. Round your answer to two decimal places.) LSD = Find the pairwise absolute difference between sample means for each pair of machines. x1 − x2= x1 − x3= x1 − x4= x2 − x3= x2 − x4= x3 − x4= Which treatment means differ significantly? (Select all that apply.) There is a significant difference between the means for Machine 1 and Machine 2.There is a significant difference between the means for Machine 1 and Machine 3.There is a significant…
10.35 The dispersion, or variance, of haul times on a construction project is of great importance to the project supervisor, because highly variable haul times cause problems in scheduling jobs. The supervisor of the truck crews states that the range of haul times should not exceed 40 minutes (The range is the difference between the longest and shortest times.) Assuming these haul times to be approximately normally distributed, the project supervisor takes the statement on the range to mean that the stan- dard deviation (o should be approximately 10 minutes. Fifteen haul times are actually measured and show a mean of 142 minutes and a standard deviation of 12 minutes. Can the claim of (o = 10 be refuted at the 5% sig- nificance level?
5. Decide on the basis of the information given in the following table, the result of a sample survey conducted at a large stateuniversity, whether there is a relationship between students’ interest and ability in studying a foreign language. Compute forthe Chi-Square Test. Use the 0.05 level of significance.

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