Traffic at parke.econ-courses.com displays an interesting pattern. You can probably pick out the week of Spring Break. The interesting feature is that traffic before Midterm 1 (in both 70 and 185) on March 4th is smaller than traffic since. There is also a pronounced day-of-the-week pattern.

On March 22nd, 111 visitors requested 125 megabytes. (There are 100 students in Econ 70 and 26 students in Econ 185 so 15 students did not visit the course web sites that day.) On March 17th, 73 visitors requested 161 megabytes, which is the peak megabytes so far.
We will cover the normal distribution with known and unknown variance, sample proportions, and difference in two means. We will also cover one-tailed and two-taled tests. Today, we started with the normal distribution with a known mean.

Suppose we know a box of cereal is normally distributed with a standard deviation of 1 and, under the null hypothesis, a mean of 16. We constructed a two-tailed rejection region for a 5% Type I error probability and compared those calculations with a 95% confidence interval. Our rejection region is two-tailed because we are concerned with both means above 16 ounces and means below 16 ounces.

The conclusions reached by two-tailed hypothesis tests and symmetric confidence intervals are very similar because the numbers involved are identical. These are really just two ways of thinking about the same issue.
To determine the Type II error probabilty, we have to consider various values for the mean under the alternative hypothesis.

If these Type II error probabilities are too large, we could increase the sample size.
If we are concerned only about means below 16 ounces, the a one-tailed test is appropriate.
