Looking back at my statistics course, I realize that I mainly remember key concepts. For example, all of the basic measures including mean, median, mode. The idea of significance in a set of data is another element of statistics I recall. A confidence interval is essentially a measure of how confident you can be that the obtained result could be repeated. A confidence interval of .9 indicates 90% confidence and .99 indicates 99% confidence. If you have a very large sample and a high confidence interval, then you can more readily rely on the results. Also, a given sample size must have a minimum of thirty participants for results pertaining to it to be considered significant (n=30). All of these concepts can be related to the normal distribution. When conducting an experiment, you want to prove that your hypothesis actually generated a result. By using statistical analysis, you can provide a numeric confirmation that a difference was observed between an original condition and the experimental condition.

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