Thursday

April 17, 2014

April 17, 2014

Posted by **nick** on Tuesday, August 12, 2008 at 9:41pm.

Nonfiltered Kings

n1 = 21

n2 = 8

sample mean = 0.94

sample mean = 1.65

s = 0.31

s = 0.16

Suppose you were to conduct a test (at the 0.05 significance level) to test the claim that king-size cigarettes with filters have a lower mean amount of nicotine than the mean amount of nicotine in non-filtered king-size cigarettes.

For this test, the critical value (to 3 decimal places) is

and the test statisic (to 2 decimal places) is .

- stats -
**PsyDAG**, Wednesday, August 13, 2008 at 11:56amYou would use a one-tailed test for the difference between means. The difference between the means needs to be divided by the standard error (SE) of the difference between means.

SE of the difference between means equals the square root of the sum of the squared SEs of the two means.

The SE for each mean is the standard deviation (s) divided by the square root of n-1.

I will leave the calculations to you.

Look up the .05 value in the smaller area in a table of areas under the normal distribution in the back of your text. This will help you find the critical value you seek.

I hope this helps. Thanks for asking.

**Related Questions**

Statistics - Determine the upper-tail critical values of F in each of the ...

Stats - Assume we draw a simple random sample from a population having a mean of...

stats - sample of n=64 scores is obtained from population with standard ...

statistics - For normal population mean 60, standard deviation 15, after ...

Statistics - For a population with a mean of (mew) = 50 and a standard deviation...

Stats - The distribution of lifetimes for a particular brand of lightbulbs has ...

statistics - population mean=42.6 standard deviation=12 n=16 M=34.4. Is this ...

Math - Suppose a population is sampled and the sample mean is 16.8. The sample ...

stats - A random sample of n=16 scores is obtained from a population with a mean...

statistics - How large a sample would be needed to form a 90% confidence ...