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Two inspectors review the quality of a manufactured component and classify the items as good, repairable, and scrap. Each inspector looks at every item, but they do not always classify the items in the same way. Assign probabilities to the nine possible outcomes.
two dice are rolled and the two resulting values are multiplied together to form the quantity z. what are the expected
Use this as the population mean and the population standard deviation is $.20. What is the probability that the mean price for a sample of 30 service station will be within $.03.
Make a scatterplot to determine what kind of relationship there seems to be between the two variables. Use the percent of lead removed as the response variable.
Under what circumatances do you use a one-sided confidence interval instead of a 2 sided confidence interval?
Based on the information in (a), find a one-sided lower 90% confidence limit for m. Also, find a one-sided upper 90% confidence limit for m.
Show that theta~ = u(X) is an unbiased estimator of theta, where u(0) = 1 and u(x) = 0 if x =1,2, ... Compare the MSEs of theta(hat) and theta~ for estimating theta = e^(-m) when m=1 and m=2
1. the mean wage is rs. 75 per day sd wage is rs 5 per day for a group of 1000 workers and the same is rs 60 and rs
The population of IQ scores forms a normal distribution with mean of μ = 100 and a standard deviation of σ = 15. What is the probability of obtaining a sample mean greater than M = 105,
mens heights are normally distributed with mean 69.0 inches and standard deviation 2.8 inches. mimi is designing a
Assume that the lives of all such bulb (approximately) normally distribution. Make the 99% confidence intervals for the variance and standard deviation of the lives of all such bulbs.
Test of product quality using human inspectors can lead to serious inspection error problems. To evaluate the performance of inspectors in a new company, a quality manager had a sample of 12 novice inspectors evaluate 200 finished products.
To be from the same population? You may assume the that follows a normal distribution. values are: 2.13 1.31 1.91 1.92 1.77 1.64 2.29 1.99 2.33 2.49 2.22
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