Stats 5-2 Flashcards
STATS 5-2
random variable
a variable (typically represented by x) that has a numerical value, determined by chance, for each outcome of a procedure
STATS 5-2
probability distribution
a description that gives the probability for each value of the random variable. It is often expressed in the format of a table, formula or graph.
STATS 5-2
discrete random variable
has a collection of values that is finite or countable(if there are infinitely many values, the number of values is countable if it is possible to count them individually, such as the number of tosses of a coin before getting tails.
STATS 5-2
Continuous random variable
infinitely many values and the collection of the values is not countable. (It is impossible to count the individual items because at least some of them are on a continuous scale) Time & Height
STATS 5-2
probability distribution requirements
- there is a numerical random variable x and its values are associated with corresponding probabilities
- ∑P(x) = 1 where x assumes all possible values (the sum of all probabilities must be 1, but sums such as .999 or 1.001 are okay because the result from rounding errors.
- 0≤P(x)≤1 for every individual value of the random variable x (each probability value must be between 0 and 1 inclusive)
STATS 5-2
Probability Histogram
- horizontal axis: random variable
* vertical axis: probabilities
STATS 5-2
Maximum usual value
μ + 2σ
mean + 2x standard deviation
STATS 5-2
Minimum usual value
μ-2σ
population mean - 2x standard deviation