Notes on contingency tables
In Excel: the sum of a row will be of the form
=sum(a1:c1) where the letters are the changing indices
The sum of a column will be
=sum(a1:a5) where the numbers are the changing indices
Notes on the Central Limit Theorem
In Excel: In my version of Excel, the function that gives you the proportion less than a z-score is
=norm.dist(x, mean, standard_dev, cumulative)
The cumulative value should be 1 always.
If we are doing a Central Limit z-score based on the average of a sample, the instruction is changed as follows.
=norm.dist(x, mean, standard_dev/sqrt(n), cumulative)
where n is the size of the sample.
Notes on probabilities of independent trials
In Excel: Again, different versions of Excel have different spelling of functions, and in my version the function is
=binom.dist(r, n, p, cumulative)
If cumulative = 0, you get the value of exactly r successes in n trials.
If cumulative = 1, you get the value of at least r successes in n trials.
Friday, September 13, 2019
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment