explain the logic of one-sided and two-sided significance tests and the scientific advantage of using one or the other.

You need to use Stata to look up the dataset and its variables. Use Stata Companion Textbook. (Dataset: NES. Variables: spend8, [pw=nesw].) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the mean and lincom commands. You then will draw inferences about the population mean. (Remember to specify nesw as the probability weight.) The spend8 variable has a sample mean of ______. Make sure you use [pw=nesw] so your results are nationally representative. There is a probability of .95 that spend8’s true population mean falls between a score of ______ at the low end and a score of ______ at the high end. A student researcher…

Prof. Watson wants to predict children’s aggressive scores based on the participants’ gender and their self-esteem scores.  Based on literature and theory, he has reason to believe that gender would be a greater predictor than self-esteem scores.  What type of analysis should Prof. Watson do? Why?

Suppose you were to collect data for the following pair of variables, ski diving: depth, visibility. You want to make a scatterplot. Which variable would you use as the explanatory variable? depth visibility Which variable would you use as the response variable? O depth O visibility Would you expect to see a positive or negative association? positive negative O neither