Ch.7 Flashcards
(8 cards)
Random variable:
A function or rule that assigns a number to each outcome of an experiment
Discrete random variable:
Values are countable, e.g. the number of courses, number of siblings, age (in years)
Continuous random variable:
Values are uncountable – typically measured quantities, e.g. height, weight, time, speed
Probability Distribution:
a table, formula, or graph that describes the values of a random variable and the probability associated with these values
A discrete probability distribution has two components:
1.Each possible value of X is listed
2.The probability of each X occurring, P(x), is also listed
The probability of each X occurring, P(x), is equal to the
frequency of that X, fx, divided by the total number of observations (n)
Laws of Expected Value
- E(c) = c
- E(X + c) = E(X) + c
also… E(X – c) = E(X) – c - E(cX) = cE(X)
also… E(X/c) = (1/c)E(X)
A Binomial Experiment is a special kind of discrete probability distribution with it’s own probability formula and tables. How do we know a question requires a binomial solution? It must satisfy the following conditions…