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A product is assembled using 10 different components, each of which must meet speci cations for fi ve different quality characteristics. Suppose that there is a 0.9973 probability that each individual speci cation will be met.
(a) Assuming that all 50 speci cations are met independently, fi nd the probability that the product meets all 50 speci cations.
(b) Suppose that we wish to have a 99.73 percent chance that all 50 speci cations will be met. If each specification will have the same chance of being met, how large must we make the probability of meeting each individual specifi cation?
Determine whether the sampling method is independent or dependent for the following example. A researcher wants to know whether the newly issued "state" quarters have a mean weight that is different from "traditional" quarters.
Randomly selected statistics students were given five seconds to estimate the value of a product of numbers with a summary of the results of both groups given below.
A researcher is estmating influence of treatment using sample selected from normally distributed population with mean of µ = 80 and standard deviation of σ = 20. Calculate power of test if researcher uses sample of n = 25 individuals.
Given that the pair of hypotheses that correspond to the claim are H0=500. Find the critical value for the hypothesis test.Assume that the level of significance is 0.02.
In other words, explain why, all else being equal, as sample size increases the likelihood of finding a statistically significant relationship increases.
Computing the probability values using normal distribution - Evaluate the percentage of homes that generate between 27 and 31 pounds of recycling per month.
A bag of jelly belly candies contains the following colored jelly beans: red (10), blue (2), orange (5), brown (21), green (0), and yellow (18). Construct the probability distribution for x.
A manufacturer produces a batch of memory chips (RAM) and measures the mean-time-between-failures (MTBF). The manufacturer then changes a manufacturing process and produces another batch and again measures the MTBF.
Find the probability of committing a type I error.
Compute the following linear programming problem and describe the special case of a linear programming problem in which.
In a simple regression analysis, you notice that the R2 value is low (less than 0.4); however, the standard error is low. What does this tell you about the analysis?
Mean threshold values and standard deviations for the three groups are given below. Normal probability plots showed the three populations were well approximated by the Normal distribution.
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