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April 18, 2015

April 18, 2015

Posted by **Clay** on Saturday, July 24, 2010 at 5:13pm.

- statistics -
**MathGuru**, Saturday, July 24, 2010 at 9:52pmSince x has a normal distribution, you can use a z-test for your data.

Formula:

z = (sample mean - population mean)/(standard deviation divided by the square root of the sample size)

Hypotheses (percentages are converted to decimal form):

Ho: µ = .067 -->null hypothesis

Ha: µ > .067 -->alternate hypothesis

Calculating:

z = (.0774 - .067)/(.023/√17)

I'll let you finish the calculation.

Using a z-table at 0.05 level of significance for a one-tailed test (alternate hypothesis shows a specific direction), find your critical or cutoff value to reject the null.

Does the test statistic calculated above exceed the critical value from the z-table? If it does not, you cannot reject the null hypothesis. If it does, reject the null and accept the alternate hypothesis (the test will be statistically significant).

I hope this will help get you started.

- statistics -
**Anonymous**, Wednesday, August 18, 2010 at 8:42pmif the correlation coefficient is 0.790, what is the explained variation

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