3. A variables sampling plan (VSP) for defectives is required for a process with two-sided spec limitsUSL/LSL = 75±5. The VSP must meet the following conditions■ Accept 95% of 0.5% defective lots (Hint: What are the AQL and alpha values?)■Reject 90% of 2% defective lots (Hint: What are the RQL and beta values?)a. Design the VSP assuming that the population standard deviation is known. (Assume σ =b. Design the VSP assuming that the population standard deviation is unknown.c. Should you accept or reject a lot in the σ unknown case if the sample delivers1)=72.0 andS = 1.5? (You don't have the sample data to use the MINITAB menu. You will have to do thecalculation by hand.)

a. Design the VSP assuming that the population standard deviation is known. Step 1: First, we must…

Answered: 3. A variables sampling plan (VSP) for…

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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Determine the most appropriate measure of association to be used for the following pairs of variable:1.) cost (in pesos) and weight (in kg) of cars (note: bivariate normality assumption is satisfied)2.) a student's college (eg. CAS, CEAT) and graduating on-time (yes/no)3.) average temperature (in °C) and average precipitation (in cm) of a city (note: bivariate normality assumption is NOT satisfied)4.) a smartphone's brand (eg. Samsung) and its battery life (below average/average/above average)5.) waiting time (in minutes) of a customer in a restaurant and their satisfaction rating (from 1 to 5, 1 being the lowest) Choices: Cramer's V, Spearman's rank correlation coefficient, Pearson's correlation coefficient
A variables sampling plan (VSP) for defectives is required for a process with two-sided spec limits USL/LSL = 75±5. The VSP must meet the following conditions ■ Accept 95% of 0.5% defective lots (Hint: What are the AQL and alpha values?) ■Reject 90% of 2% defective lots (Hint: What are the RQL and beta values?) a. Design the VSP assuming that the population standard deviation is known. (Assume σ = 1) b. Design the VSP assuming that the population standard deviation is unknown. c. Should you accept or reject a lot in the σ unknown case if the sample delivers x = 72.0 and s = 1.5? (You don't have the sample data to use the MINITAB menu. You will have to do the calculation by hand.)
A variables sampling plan (VSP) for defectives is required for a process with two-sided spec limits USL/LSL = 75 ±5. The VSP must meet the following conditions ■Accept 95% of 0.5% defective lots (Hint: What are the AQL and alpha values?) ■Reject 90% of 2% defective lots (Hint: What are the RQL and beta values?) a. Design the VSP assuming that the population standard deviation is known. (Assume σ = 1) b. Design the VSP assuming that the population standard deviation is unknown. c. Should you accept or reject a lot in the o unknown case if the sample delivers x = 72.0 and s = 1.5? (You don't have the sample data to use the MINITAB menu. You will have to do the calculation by hand.)
Which of the following would probably NOT be a potential “cure” for non-normal residuals? Select one: a. Transforming two explanatory variables into a ratio. b. Removing large negative residuals. c. Removing large positive residuals. d. Using a procedure for estimation and inference which did not assume normality.
esc . 1 TextEdit File Edit Times New Roman Bold ! 7 Format View Window Help Hypothesis Test Assignment (1).rtf KHIDEEOD CE 4. The fuel economy sticker on a new SUV's window sticker indicates the owner can expect 16 mpg in city driving and 20 mpg highway driving and 18 mpg overall. Accurate gasoline records for one such vehicle were kept, and a random sample of mileage per tank of gasoline was collected: I. 17.6 17.7 18.1 22.0 17.0 19.4 18.9 17.4 21.0 19.2 18.3 19.1 20.7 16.7 19.4 18.2 18.4 17.1 17.4 15.8 17.9 18.0 16.3 17.5 17.3 20.4 19.1 21.0 18.1 19.0 19.6 18.9 16.8 18.2 17.6 19.1 18.0 16.8 20.9 17.9 17.7 20.3 18.6 19.0 16.5 19.4 18.6 18.6 17.3 18.7 Test whether the population average mpg is actually greater than 18 mpg using a 1% level of significance. a) State the null and alternate hypotheses. b) Would you perform a one-tailed or two-tailed test? Why? c) State the test statistic and p-value of your test. Round your values to four-decimal places. Aw NE 28 PC MacBook Air 8: *FZ 44 Q…
You are shown ZJKL below whose measure is 90°. Draw an angle bisector of ZJKL by clicking a dragging a ray out from the vertex at K. Click and drag to draw a ray from the yellow dot. To redraw, click and drag from the yellow dot again. mZJKL = 90° mZJKM = 45° m/LKM = 45° L C
The data in NutritionStudy include information on nutrition and health habits of a sample of 315 people. One of the variables is VitaminUse, indicating whether a person takes a multivitamin pill regularly or occasionally or not at all. Use technology to test whether the data provide evidence that the proportion taking a vitamin pill regularly is different from 35 % given. Clearly state the null and alternative hypotheses. : : 42 : Pi : P2 :: 0.35 : 2 :: P1 : p2 :: :: r Ho: vs Hg: ::
Unfortunately, arsenic occurs naturally in some ground water. A mean arsenic level of μ=8 parts per billion (ppb) is considered safe for agricultural use. A well in Los Banos is used to water cotton crops. This well is tested on a regular basis for arsenic. A random sample of 37 tests gave a sample mean of x=7.3 ppb arsenic. It is known that σ=1.9 ppb for this type of data. Does this information indicate that the mean level of arsenic in this well is less than 8 ppb? Use the classical approach. Use α=0.01 What is the hypotheses for this problem? A: Ho μ =7.3ppb vs HA μ < 7.3ppb B: Ho μ <7.3ppb vs HA μ ≥ 7.3ppb C: Ho μ =8.0ppb vs HA μ < 8.0ppb D: Ho μ <8.0ppb vs HA μ ≥ 8.0ppb
Mrs. Paul wants to test that claim that, on average, her students average mark is 85. She pulls therecords of 100 of per past students over a three-year period. The grades inputted into MINITABfor analysis. Exhibit 1 below shows the results of an analysis carried out on the data obtained. Exhibit 1 One-Sample Z: Level I/II Test of mu = 85 vs mu not = 85The assumed sigma = 15.0 Variable N Mean StDev SE Mean Z PStudents Score 100 75.4 12.99 * ** *** i. Calculate the missing value ** and use tables to approximate the value of ***.ii. Using a 1% level of significance, state the decision criteria for this test iii. State the conclusion for the test and why
the assumption that the t test for independent samples makes regarding the amount of variability in each of the two groups is called the?
Mrs. Paul wants to test that claim that, on average, her students average mark is 85. She pulls therecords of 100 of per past students over a three-year period. The grades inputted into MINITABfor analysis. Exhibit 1 below shows the results of an analysis carried out on the data obtained. Exhibit 1 One-Sample Z: Level I/IITest of mu = 85 vs mu not = 85The assumed sigma = 15.0 Variable N Mean StDev SEMean Z PStudents Score 100 75.4 12.99 * ** *** i. Calculate the SEMean ii. Construct a 98% confidence interval for the population scores of Mrs. Paul’s students.iii. State the null and alternate hypothesis for this test. iv. Calculate the missing value ** and use tables to approximate the value of ***.v. Using a 1% level of significance, state the decision criteria for this test…
An experiment was conducted to determine the effect of machining factors on ceramicstrength. Two levels of table speed (slow and fast), two directions (longitudinal and transverse) and two levelsof wheel grit (I and II) were identified by the researcher. The experiment was replicated three times and thestrength of each randomly selected ceramic was obtained. The ANOVA table of the results of the analysis areas follows. 1. Refer to the ANOVA table at a=0.01, what is the conclusion for testing significance in 3-way interaction Reject/Fail to Reject Ho 2. If sequential test of hypothesis is performed the following are (True or False)? a. All 2-way interaction effects are going to be tested b. All main effects are going to be tested 3. What combination of effects will result to a significant result at a=0.01 if should all test are going to be performed among the main effects and two way interactions? (choose 1pair/combination: direction, wheel grit, speed)

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