Larry and Curly decide to have a chess match. The probability of Larry winning is 0.4. Each time Larry wins, he gains confidence and the probability of winning the next game increases by 0.1. Each time he loses, his confidence goes down and his probability of winning the next game decreases by 0.05. Determine the probability that in a three game match Larry wins at least two games.
Probability of larry winning = 0.4
The probability of larry winning is increased by 0.1 when he won the previous game
Probability of larry winning decrease by 0.05 when he lost the previous game
Let X represent the no of matches won by larry
Now we have to find probability that larry win atleast 2 matches
P(X≥2) = P(X=2)+ P(X=3)
Now P(X=2) in this probability we have 3 cases
Case 1= win, win, lose
Probability of case 1
"= 0.4 \\times (0.4+0.1)\\times (1-(0.4+0.1+0.1)) \\\\\n\n=0.4 \\times 0.5 \\times 0.4 \\\\\n\n=0.08"
Case 2=win, lose ,win
Probability of case 2
"=0.4 \\times (1-(0.4+0.1)) \\times (0.5-0.05) \\\\\n\n=0.4 \\times 0.5 \\times 0.45 \\\\\n\n=0.09"
Case 3 = lose, win, win
Probability of case 3
"=(1-0.4) \\times (0.4-0.05) \\times (0.35+0.1) \\\\\n\n=0.6 \\times 0.35 \\times 0.45 \\\\\n\n=0.0945 \\\\\n\nP(X=2) = case1+case2+case3 \\\\\n\n=0.08+0.09+0.0945 \\\\\n\n=0.2645 \\\\\n\nP(X=3) = 0.4 \\times (0.4+0.1) \\times (0.5+0.1) \\\\\n\n= 0.4 \\times 0.5 \\times 0.6 \\\\\n\n=0.12 \\\\\n\nP(X\u22652)=0.2645+0.12=0.3845"
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