The differences of the two methods are what researches look at when trying to decide what method would be the best for their application. The experimental method allows the researcher to be completely objective, while the questions in a survey may not be phrased quite as objectively. Often, researches want to get “real world” information. In a case like this, the survey method would be a much better choice. Because of the experimental method’s artificial setting, the results may not reflect what would happen in the “real world.” With a hypothesis that frustration leads to aggressive behav

ior, the experimental method would probably show the best, most accurate results.

If the data did not contain outliers and the mean, median, and mode were very similar, you would get a normal distribution. A normal distribution is one in which all data evenly fits below the normal curve. If there is a low outlier the distribution will be negatively skewed; that is, it contains more high scores than low scores. The opposite is true for a positively skewed distribution. Another way to see it is that the mean will be much lower/higher than the median because the outlier has a larger effect on the mean than the median.

There are ethical issues to think about. The experimenter needs to make sure that the subject knows and has agreed to the experiment that he/she is going to be put through.

Experimenter bias is the tendency for the experimenter to sub-consciously expect an outcome based on the hypothesis. For example, the experimenter may think that the subject is more aggressive after being frustrated only because that was what he/she was expecting. There may ha

Some topics in this essay:
, mean median, mean median mode, median mode, data set, experimental method, standard deviation, independent variable, survey method, method allows researcher, experimental method allows, control experiment, “real world”, allows researcher,