How we got here
We began the course with point estimates and standard deviations
We moved into probabilities for both discrete and random variables.
These allow us to determine the likelihood of an event happening.
Even though it doesn't matter whether you use the z-test
or t-test to compute the p-value of a hypothesis test,
what is the difference between the two tests?
The textbook says (pg 502) that the z-s
Last week we talked about testing means
from one sample or paired data.
This week we will talk about testing the
difference in means or proportions from
two independent samples.
When we are given a skewed distribution,
how can we use a z-score to calculate
probabilities? For example: If the graph is
skewed to the left, the negetive z-scores
will have a lower cumulative probability
than taking a greate