BSB123 Lecture Notes - Lecture 3: Sample Space, Conditional Probability, Standard Deviation
Document Summary
Measure the strength and direction of linear relationship between two numerical variables. Examining scatterplots (look for form, direction and scatter) Fairly strong linear association (dots are close together along graph) Weak to moderate linear association (gots scattered further apart) Covariance tells us only the direction of association. The correlation of x and y (r) is the covariance of x and y divided by standard deviation of x (s x ) and standard deviation of y (s y ). Correlation is unchanged by changing the scales of x or y. Probability is the likelihood of an event occuring. A complete list of all basic outcomes. Probability of an event (a) is denoted by p(a) Sum of probabilities of all basic outcomes must be 1. The probability that a randomly selected student is female and from engineering. Means either a or b or both happen. What is the probability that a randomly selected student is female or from engineering.
