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On a correlation matrix, you will usually see two values per comparison. The top value for a correlation measurement will be the Pearson correlation, right under that you will see a p-value. I understand when you have a Pearson correlation above, say, 0.5, you can start getting into issues of multicollinearity. I don't quite understand what the significance of the p-value beneath it is, if any?
Construct a 99% confidence interval for the proportion of Americans who live in neighborhoods with acceptable levels of carbon monoxide.
Finding the value of test statistic utilizing two-tail 't' test also interpret the result. The Commercial Bank as well as Trust Company is studying the use of its automatic teller machines.
Suppose the value of the test statistic is z = -1.11. What is the p-value?
Perform a paired-samples t-test for experiment (p = .01 or 99% confidence, two-tailed). Is there a significant difference between the two teaching methods?
Find the percentage of buyers who said their price range is between $150,000 and $153,300.
Select the suitable hypothesis.H 0 : π ≥ .052; H 1 : π 0 if z
An engine system consists of three main components in a series, all having the same reliability.
A library checks out an average of 250 books per day, with a standard deviation of 75 books. If a sample of 36 days of operation is selected and the sample mean is computed,
What kind of sampling have you done (simple random sampling, stratified sampling, systematic sampling or cluster sampling)?
Estimate the true proportion of those preferring chocolate ice cream using a 90% confidence interval.
Let's say the true mean is an arrow, and the confidence interval is a target that you wish to shoot the arrow into.
Find out sample standard deviation (s) of scores Gordon Golfer made on his last four rounds (determine to the nearest one tenth, or .1).
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