bio386 20141022 Wed t-test, constructive learning

The students were guided to learn the meaning of p-value and t-test.

They spent about 1 hour on the t-test.R example, and figured out small p-value means 'null hypothesis is disproved'.

I then tried to see whether they can apply their newly learned knowledge in the metric-survey data set.  The students have trouble to state the null hypothesis for the metric_v2b.R

t.test(tb2$metric[tb2$gender=='Female'], tb2$metric[tb2$gender=='Male'])

At this time, we reach the end of class, so I left this as homework.