A company utilizes two different machines to manufacture parts of a certain type. During a single shift, a sample of n = 20 parts produced by each machine is obtained, andthe value of a particular critical dimension for each part is determined. The comparative boxplot below is constructed from the resulting data.Machine1-Dimension8595105115Compare and contrast the two samples. (Select all that apply.)The only outlier that exists is from machine 2.A typical value is much larger for machine 1 than for machine 2.O The only outlier that exists is from machine 1.Machine 2's sample values have considerably more variation than machine l's sample values.Machine 1's sample values have considerably more variation than does machine 2's sample values.There are no outliers present.A typical value seems to be about the same for the two machines.Machine 1 and machine 2's sample values have about the same amount of variation.O A typical value is much larger for machine 2 than for machine 1.

According to the provided information, a sample of 20 parts produced by two machines and the value…

Answered: A company utilizes two different…

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 company utilizes two different machines to manufacture parts of a certain type. During a single shift, a sample of n = 20 parts produced by each machine is obtained, and the value of a particular critical dimension for each part is determined. The comparative boxplot at the bottom of this page is constructed from the resulting data. Compare and contrast the two samples.Comparative boxplot for Exercise 58.
2) Find the t-values that form the boundaries of the critical region for a two-tailed test with alpha of .05 for for n = 15
1) A cement producer, manufactures and then fills 40kg-bags of powder cement on twodistinct production tracks located in separate suburbs. To determine whether differencesexist between the average fill rates for the two tracks, a random sample of 25 bags fromTrack 1 and a random sample of 16 bags from Track 2 were recently selected. Each bag’sweight was measured and the following information measures from the samples arereported:Production ProductionTrack 1 Track 2n1 = 25 n2 = 16x2 = 40.02 x1 = 39.87 s1 = 0.59 s2 = 0.88 Supervision believes that the fill rates of the two tracks are normally distributed with equalvariances.Construct a 95% confidence interval estimate of the true mean difference between the twotracks.--------------------------------------------------------------------------------------------------------------2) Two independent simple random samples were selected from two normallydistributed populations with unequal variances yielded the following information:Sample 1…
A company utilizes two different machines to manufactureparts of a certain type. During a single shift, a sampleof n 5 20 parts produced by each machine isobtained, and the value of a particular critical dimensionfor each part is determined. The comparative boxplot atthe bottom of this page is constructed from the resultingdata. Compare and contrast the two samples.
A large manufacturing company investigated the service it received from its suppliers and discovered that, in the past, 38% of all material shipments were received late. However, the company recently installed a just-in-time system in which suppliers are linked more closely to the manufacturing process. A random sample of 150 deliveries since the just-in-time system was installed reveals that 33 deliveries were late. If we want to test whether the proportion of late deliveries was reduced signicantly at = 0:10 the null and alternative hypotheses are a. Null hypothesis (H0) b. Alternative hypothesis (HA)
An urban community wants to show that the incidence of breast cancer is higher in their locality than in a neighboring rural area. (PCB levels were found to be higher in the soil of the urban community). If you find that in the urban community 20 out of 200 adult women have breast cancer and that in the rural community 10 out of 150 adult women have it, could you conclude, at a significance level of 0.05, that breast cancer is more prevalent in the urban community?1. The parameter of interest is:2. The hypotheses for this test are:3. The calculated test statistic is:4. The critical region is:5. Draw the critical region (make decision):6. It can be concluded that:
If you have a sample size of 50 and you are comparing 3 groups at the .05 level- what is the critical F value?
If X1, X2, and X3 constitute a random sample of sizen = 3 from a normal population with the mean μ and thevariance σ2, find the efficiency of X1 + 2X2 + X34relative toX1 + X2 + X33as estimates of μ.
With α = .05, the two-tailed critical region for a t test using a sample of n = 20 participants would have boundaries of _____.
Texas Instruments produces computer chips in production runs of 1 million at a time. It has found that the fraction of defective modules can be very different in different production runs. These differences are caused by small variations in the set-up of each production run. Managers have observed that defective rates are roughly triangular, with a lower bound of 0%, and an upper bound of 50%. Defects more likely to be near 10% than any other single value in their range. (a) Before we test any modules, let’s understand the distribution of de- fects. Simulate at least 2,000 draws from the triangular distribution and answer the following questions. 1 What is the probability of a defect rate less than 0.25 in this production run? 2 For what number M would you say that the defective rate is equally likely to be above or below M? 3 What is the probability that we will find exactly two defective modules when we test 10 modules from this production run? (b) Now suppose that we have taken a…
A company utilizes two different machines to manufacture parts of a certain type. During a single shift, a sample of n = 20 parts produced by each machine is obtained, and the value of a particular critical dimension for each part is determined. The comparative boxplot below is constructed from the resulting data. (View Pic) Compare and contrast the two samples. (Select all that apply.) There are no outliers present. A typical value is much larger for machine 1 than for machine 2. Machine 2's sample values have considerably more variation than machine 1's sample values. The only outlier that exists is from machine 2. A typical value seems to be about the same for the two machines. Machine 1's sample values have considerably more variation than does machine 2's sample values. A typical value is much larger for machine 2 than for machine 1. The only outlier that exists is from machine 1. Machine 1 and machine 2's sample values have about the same amount of variation.
A)A lecturer claims that their course is not too easy and that on average, students score 60%. We want to verify this claim by performing a single tailed test with the null hypothesis μ=60% vs the hypothesis μ>60%. For this, we take a random sample of 50 students.Decide on the appropriate test statistic and compute the corresponding (positive) bound of the critical region for a single tailed test at the 98% level. B)Consider again the example of the lecturer from above. We obtained a sample of 50 students with a mean of μ=61.3% and a sample standard deviation of 18.3% (percentage points, not percentages of μ!) What is the p-value (0<p<1) for this right-tailed test for the null hypothesis μ=60% vs the alternative hypothesis μ>60%? Give your answer to 3 decimal places.

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