a. If the lot contains one defective LCD, what is the probability that you will accept the lot? b. If the lot contains 3 defective LCDS, What is the probability that you will accept the lot? c. If the lot contains 3 defective LCDS, what is the expected number of defectives in the sample?
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- a) A random sample of 6 insurance claims is selected from a lot of 15 that has 3 non-conforming units. Using the hypergeometric distribution, what is the probability that the sample will contain exactly 3 non-conforming units? What is the probability that the sample will contain less than 2 non-conforming units? b) A process is in statistical control with a mean of 79.5 mm and a standard deviation of 1.85. Theupper specification limit is 80.2 mm, and the lower specification is 78.6 mm. What are the valuesof Cp, Cpk?A pathological video game user (PVGU) is a video game user that averages 31 or more hours a week of gameplay. According to the article “Pathological Video Game Use among Youths: A Two-Year Longitudinal Study” (Pediatrics, Vol. 127, No. 2, pp. 319–329) by D. Gentile et al., in 2011, about 9% of children in grades 3–8 were PVGUs. Suppose that, today, five youths in grades 3–8 are randomly selected. Let X represent the number of youths who are PVGUs. n = p = 1 – p = Prepare the probability distribution for the random variable X. Complete the following table. Round your answers to 4 decimal places e.g. 0.XXXX or .XXXX. X = x P(X=x) 0 1 2 3 4 5 ∑=1.0000∑=1.0000 Calculate the probability that EXACTLY three youths are PVGUs. Round your answers to 4 decimal places e.g. 0.XXXX or .XXXX. P(X = 3) = Calculate the probability that AT LEAST two youths are PVGUs. Round your answers to 4 decimal places e.g. 0.XXXX or .XXXX. P(X ≥ 2) = Calculate the…A pathological video game user (PVGU) is a video game user that averages 31 or more hours a week of gameplay. According to the article “Pathological Video Game Use among Youths: A Two-Year Longitudinal Study” (Pediatrics, Vol. 127, No. 2, pp. 319–329) by D. Gentile et al., in 2011, about 9% of children in grades 3–8 were PVGUs. Suppose that, today, five youths in grades 3–8 are randomly selected. Let X represent the number of youths who are PVGUs. Calculate the probability that EXACTLY three youths are PVGUs
- The number of bacteria colonies of a certain type in samples of polluted water has a Poisson distribution with a mean of 2 per cubic centimeter (cm3) a. If four 1-cm3 samples are independently selected from this water, find the probability that at least one sample will contain one or more bacteria colonies. b. How many 1-cm3 samples should be selected in order to have a probability of approximately 0.95 of seeing at least one bacteria colony?Assume that hybridization experiments are conducted with peas having the property that for offspring, there is a 0.75 probability that a pea has green pods. Assume that the offspring peas are randomly selected in groups of 30. Complete parts (a) through (c) below. The value of the standard deviation is _________.Data collected over a number of years show that whena broker called a random sample of eight of her clients,she got a busy signal 6.5, 10.6, 8.1, 4.1, 9.3, 11.5, 7.3, and5.7 percent of the time. Assuming that these figures canbe looked upon as a random sample from a continuous uniform population, use the estimators obtained in Exer-cise 57 to estimate the parameters α and β.
- A certain factory produces Xn specialized parts on day n, where Xn are independent and identically distributed random variables with mean 6 and variance 9. Let Sn be the total number of specialized parts produced from day 1 to day n. Using central limit theorem, determine the total number of parts, a, the said factory can guarantee to produce by day 50 with at least 99.9% certainty, i.e. determine the maximum value of a so that P(S50≥a)≥0.999. Note: This maximum value must be a whole number.Suppose that it is known that in a certain community 30% of the households have a micro-wave ovens. Fora a simple random sample of 19 households selected from this population find the standard deviation.Suppose x has a distribution with μ = 10 and σ = 2.A button hyperlink to the SALT program that reads: Use SALT.(a) If a random sample of size n = 44 is drawn, find μx, σ x and P(10 ≤ x ≤ 12). (Round σx to two decimal places and the probability to four decimal places.)μx = σ x = P(10 ≤ x ≤ 12) = (b) If a random sample of size n = 66 is drawn, find μx, σ x and P(10 ≤ x ≤ 12). (Round σ x to two decimal places and the probability to four decimal places.)μx = σ x = P(10 ≤ x ≤ 12) =
- Suppose that a random variable X has a hypergeometric distribution with parameters n = 36, N = 50, and M = 28. What is smallest possible value for X? What is largest possible value for X?A random variable X is uniform from 4 to 8. A Gaussian random variable Y has mean of 10. Approximate the variance ofYY if only 2.5% of its elements is a subset of X.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.