STA 32 Lecture 5: NOTES #5- STA
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Suppose you toss 3 coins space is defined as the sample. H h h ttt h h t h th th h. O l 2 3 of rv t heads x heads. This function the correspondin ith can be represented graph or probabilities table as a. 118 a random variable take on a finite and the interval it can only natural gaps an. Discrete of values within is discrete if values have. The discrete probability furetion cpmf mass function of a random variable x is the a. P xx that random variable is equal to a given value specifies the probability a k a prob distribution for coin toss example pcx x7. E p ci p out of n tosses d 42 ways to get x heads. Groping i of heads specifies the probability that a random. Cumulative distribution function for adiscreter variable is less than or equal to a given vow.
