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an inspector working for a manufacturing company has a %99 chance of correctly identifying defectiv items and a %0.5 chance of incorrectly classifying a good ite as defective. The company has evidence that its line produces %0.9 of noncorforming items. What is the probability that an item selected for inspection is classified as defective?
Paired samples t-test for the given data - financial advice from the voluntary organization - A local voluntary organization affiliated to the Citizens Advice Bureau offers free financial advice to residents in the area who are registered debtors
Can we conclude from this that most workers there earn between $25 and $35 per hour? Is this the right interpretation for the margin of error?
Does this sample indicate a smaller average? Use α = 0.05 and assume a normally distributed population.
For testing the null hypothesis at the 4% level of significance that mu GE 100 vs the alternative that mu
Find out the mean number of letters that will arrive in two days.
Using the results, describe the effect of an outlier or extreme value on the confidence interval.
A random sample of 180 individuals had their blood sugar level measured. The 5-number summary was. How many of the people in the sample had glucose levels above 119?
If all samples of size 64 are drawn, mean of sample according to Central Limit Theorem is 100.
Compute the mean and standard deviation of the scores and use these for the calculations below. Show your calculations on the back of his page.
Select a variable. Compare the mean of the variable for a sample of 30 for one group with the mean of the variable for a sample of 30 for a second group. Use a z test.
At a recent meeting of educational researchers comparison were made between the type of college freshmen attend and the numbers who drop out.
If the sample size (n) is large, and the sample is a random sample, then the distribution of the sample mean x-bar is approximately a:
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