TASK: Evaluate an expression for a probability.
COMMENT: The normal probability distribution assigns a likelihood to each number x. This likelihood depends on x, but also on the average value (Greek letter MU) and a measure of spread (Greek letter SIGMA). The formula for the likelihood of the value x is:
\begin{align} p(x) &= \dfrac{1}{\sigma \sqrt{2\pi}} e^{- {\left( \frac{x-\mu}{\sigma \sqrt{2}} \right)}^2} \end{align} |
INSTRUCTIONS:
Use MATLAB's input() statement to request values for "mu", "sigma", and "x". mu = ?; sigma = ?; x = ?; A brave person can try to write the entire formula for p(x) in a single line, carefully using parentheses: p = ?; But a better plan sees the formula as a set of pieces that can be built first, and then assembled: frac = 1 / ?; top = ?; bot = ?; power = ( top / bot ) ^ 2; p = frac * exp ( - power ); fprintf ( ' p(%g) = %g\n', x, p );
SUBMIT: Your work should be stored in a script file called "hw0035.m". Your script file should begin with at least three comment lines:
% hw0035.m % YOUR NAME % This script (describe what it does) % Add any comments here that you care to make.If this problem is part of an assignment, then submit it to Canvas.