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July 24, 2014

July 24, 2014

Posted by **vera** on Saturday, April 21, 2012 at 5:13pm.

- Statistics -
**MathGuru**, Saturday, April 21, 2012 at 7:28pmUse a one-sample z-test.

Hypotheses:

Ho: µ = 95 -->null hypothesis

Ha: µ < 95 -->alternate hypothesis

Formula:

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

With your data:

z = (92.25 - 95)/(10/√50) = ?

Finish the calculation.

Check a z-table at .05 level of significance for a one-tailed test.

If the z-test statistic exceeds the critical value from the z-table, reject the null. If the z-test statistic does not exceed the critical value from the z-table, do not reject the null. If you reject the null, the conclusion will be µ < 95.

I hope this will help get you started.

- Statistics -
**stylists**, Monday, April 23, 2012 at 8:30pmNeed step by step format can't figure out, need an example:

two samples of data regarding salary of Co A and Co B determine if you can be 99% sure that Co?

A makes more than Co B? Company A - Mean 55,000, Std Dev 5,000, Sample Size 200; Co B mean 52,000, Std Dev 3,000 Sample size 400 please show steps thanks

- Statistics -
**stylists**, Monday, April 23, 2012 at 8:37pmNeed step by step format can't figure out, need an example:

two samples of data regarding salary of Co A and Co B determine if you can be 99% sure that Co?

A makes more than Co B? Company A - Mean 55,000, Std Dev 5,000, Sample Size 200; Co B mean 52,000, Std Dev 3,000 Sample size 400 please show steps thanks

- Statistics -
**patricia**, Saturday, April 28, 2012 at 9:57pmtwo hundred math 115 students kept trak of the number of hours of homework they did during the fall 94 semester. the results are found to closely approximate a normal distribution with mean 14 hours and standard deviation 2 hours. determine the fraction of the students who studied more than 16 hours

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