STATS HELP?! :(
The circumference of a particular species of tree was thought to be different depending on certain geographical factors. An SRS of 60 trees is selected in Sequoyah National Forest, where it is found that = 6 meters with a standard deviation = 3 meters. A second SRS of size 40 is independently selected in Yellowstone National Forest, and it is found that = 4 meters with a standard deviation = 2 meters. Let μ1 and μ2 represent, respectively, the true mean circumferences of this particular species of tree. Assume the two-sample t procedures are safe to use. A 95% confidence interval for μ1 – μ2 is A. 2 ± 0.50 m. B. 2 ± 0.84 m. C. 2 ± 0.99 m. D. 2 ± 1.34 m.
You know the difference of means is 2, so it's really a matter of finding the margin of error. Margin of error, ME=t*SE ; SE = standard error. You choose t* based on the confidence level. You'll have to determine the degrees of freedom, and here because the 2 sample sizes are different, that can be tricky. Sometimes you can make a simplifying assumption, though..
The standard error is a sample size-corrected estimate of the standard deviation. For a sum or difference of variables, the new standard deviation is always found by \[\sigma_z=\sqrt{\sigma_x^2+\sigma_y^2}\] Think pythagorean theorem.
for standard error, you need to divide the variance by the sample size. i.e. \[SE=\sqrt{\sigma_1^2/n_1+\sigma_2^2/n_2}\]
check out stattrek.com for some good explanations of how to find the critical t-score when you have unequal variances.
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