An ordinary (fair) coin is tossed 3 times. Outcomes are thus triples of "heads" (h) and "tails" (1) which we write hth, ttt, etc. For each outcome, let R be the random variable counting the number of tails in each outcome. For example, if the outcome is ht, then R (hht)=1. Suppose that the random variable x is defined in terms of R as follows: x=R²- 3R- 2. The values of x are thus: Outcome hht thh ttt |htt|tth hhh ththth Value of -4-4|-2-4|-4|-2|-4-4 Explanation Chock

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Bb Week 9 - MAT300457VA016-121...
ALEKS - Shasia Gibbs - Learn
O RANDOM VARIABLES AND DISTRIBUTIONS
Shasia v
Discrete probability distribution: Word problems
An ordinary (fair) coin is tossed 3 times. Outcomes are thus triples of
"heads" (h) and "tails" (1) which we write hth, ttt, etc. For each outcome, let
R be the random variable counting the number of tails in each outcome.
For example, if the outcome is hht, then R (hht)= 1. Suppose that the random
variable x is defined in terms of R as follows: x=R²– 3R– 2. The values of x
are thus:
Outcome h ht thh ttt|htt|tth hhh tht hth
Value of
-4-4|-2|-4-4-2-4-4
X
Aa
Explanation
Check
mon. A Righte Reeenved
Terms of Use I Privacy | Accessibility
Transcribed Image Text:Pf iCampus Login Bb Week 9 - MAT300457VA016-121... ALEKS - Shasia Gibbs - Learn O RANDOM VARIABLES AND DISTRIBUTIONS Shasia v Discrete probability distribution: Word problems An ordinary (fair) coin is tossed 3 times. Outcomes are thus triples of "heads" (h) and "tails" (1) which we write hth, ttt, etc. For each outcome, let R be the random variable counting the number of tails in each outcome. For example, if the outcome is hht, then R (hht)= 1. Suppose that the random variable x is defined in terms of R as follows: x=R²– 3R– 2. The values of x are thus: Outcome h ht thh ttt|htt|tth hhh tht hth Value of -4-4|-2|-4-4-2-4-4 X Aa Explanation Check mon. A Righte Reeenved Terms of Use I Privacy | Accessibility
O RANDOM VARIABLES AND DISTRIBUTIONS
Shasia v
Discrete probability distribution: Word problems
-4
Aa
Calculate the probability distribution function of x, i.e. the function pr(x).
First, fill in the first row with the values of x. Then fill in the appropriate
probabilities in the second row.
Value x of x
Explanation
Check
Icauon. An Rinhte Resenved
Terme of Use Privacy Accessibility
olo
II
Transcribed Image Text:O RANDOM VARIABLES AND DISTRIBUTIONS Shasia v Discrete probability distribution: Word problems -4 Aa Calculate the probability distribution function of x, i.e. the function pr(x). First, fill in the first row with the values of x. Then fill in the appropriate probabilities in the second row. Value x of x Explanation Check Icauon. An Rinhte Resenved Terme of Use Privacy Accessibility olo II
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