when you have two independent populations, explain the similarities and differences between the test of hypothesis...
when you have two independent populations, explain the similarities and differences between the test of hypothesis for the difference between the means and the confidence interval estimate for the difference between the means?
Homework Answers
Similarity is that the test statistic used to construct test of hypothesis and confidence intervals are same. And rejection decision would be same using either testing or confidence intervals concepts.
But differences occur in the sense that testing of hypothesis has more flexibility of looking into power of the test also, which we cannot have using confidence intervals, power plays important role in taking decisions regarding accepting or rejecting null hypothesis.
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when you have two independent populations, explain the
similarities and differences between the test of hypothesis...
In order to compare the means of two populations, independent random samples of 395 observations are...
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independent random sampling from two normally distributed populations gives the results below. Find a 99% confidence interval estimate of the difference between the means of the two populations. nx = 90 ny = 83 x=115 σχ = 23 9,-23 ơy-10 у = 107 The confidence interval is
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Independent random sampling from two normally distributed populations gives the results below. Find a 99% confidence...
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Independent random sampling from two normally distributed populations gives the results below. Find a 99% confidence interval estimate of the difference between the means of the two populations ni 70 X1-377 ƠI :19 n2-34 x2 334 ơ2-29 The confidence interval is < (m-μ2) (Round to four decimal places as needed)
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