Why Stats

95% confidence intervals have to do with the area under a continuous probability function

95% confidence intervals need to be calculated using pen and paper

95% confidence intervals always overlap

The mean values of data collected in an experiment indicate the central tendency of the groups they refer to

The mean values of data collected in an experiment are the only ones we care about

The mean values of data collected in an experiment are useless because they are random

We need inferential statistics to compare the average of different experimental groups

The normal distribution allows us to calculate the true average of our data

We need inferential statistics to calculate the true average value

The normal distribution indicates that all values have the same probability

The mean values of data collected in an experiment should be considered together with the relative spread measures

95% confidence intervals should never overlap