Solution a)
P ( x 0 ) + P ( x 1 ) + P ( x 2 ) + P ( x 3 ) + P ( x 4 ) + P ( x 5 ) = 1 P(x0) + P(x1) + P(x2) + P(x3) + P(x4) + P(x5) = 1 P ( x 0 ) + P ( x 1 ) + P ( x 2 ) + P ( x 3 ) + P ( x 4 ) + P ( x 5 ) = 1
P ( x ) = 1 10 P(x) = \frac{1}{10} P ( x ) = 10 1 for x = 0
P ( 0 ) = 1 10 P(0) = \frac{1}{10} P ( 0 ) = 10 1
P ( x ) = k x 10 P(x) = \frac{kx}{10} P ( x ) = 10 k x for x = 1, 2, 3
P ( 1 < = x < = 3 ) = k 10 + 2 k 10 + 3 k 10 = 6 k 10 P(1<= x <= 3) = \frac{k}{10} + \frac{2k}{10} + \frac{3k}{10} = \frac{6k}{10} P ( 1 <= x <= 3 ) = 10 k + 10 2 k + 10 3 k = 10 6 k
P ( x ) = k ( 6 − x ) P(x) = k(6-x) P ( x ) = k ( 6 − x ) for x = 4, 5
P ( 4 < = x < = 5 ) = k ( 6 − 4 ) + k ( 6 − 5 ) = 3 k P(4<= x <= 5) = k(6-4) + k(6-5) = 3k P ( 4 <= x <= 5 ) = k ( 6 − 4 ) + k ( 6 − 5 ) = 3 k
1 = 1 10 + 6 k 10 + 3 k 1 = \frac{1}{10} + \frac{6k}{10} + 3k 1 = 10 1 + 10 6 k + 3 k
1 − 1 10 = 9 10 = 6 k + 30 k 10 = 36 k 10 1 - \frac{1}{10} = \frac{9}{10} = \frac{6k + 30k}{10} = \frac{36k}{10} 1 − 10 1 = 10 9 = 10 6 k + 30 k = 10 36 k
( 9 ∗ 10 ) = ( 36 k ∗ 10 ) (9 * 10) = (36k * 10) ( 9 ∗ 10 ) = ( 36 k ∗ 10 )
Answer:
K = 90 360 = 0.25 K = \frac{90}{360} = 0.25 K = 360 90 = 0.25
Solution b)
Part i) 3 visits in 1 hour
P ( x = 3 ) = 0.25 x 10 = 0.25 ∗ 3 10 = 0.075 P(x=3) = \frac{0.25x}{10} = \frac{0.25* 3}{10} = 0.075 P ( x = 3 ) = 10 0.25 x = 10 0.25 ∗ 3 = 0.075
Answer : 0.075
Part ii) less than 2 visits in 1 hour
P ( ( x = 0 o r x = 1 ) = 1 10 + 0.25 10 = 0.125 P((x = 0 \, or \,x=1) = \frac{1}{10} + \frac{0.25}{10} = 0.125 P (( x = 0 or x = 1 ) = 10 1 + 10 0.25 = 0.125
Answer : 0.125
Part iii) more than 6 visits in 2 hours
Let x be the visits in the first hour and y be visits in the second hour
M a x ( x + y ) = 10 Max(x+y) = 10 M a x ( x + y ) = 10
M i n ( x + y ) = 7 Min(x+y) = 7 M in ( x + y ) = 7
P ( x + y > 6 ) = P ( x + y = 7 o r x + y = 8 o r x + y = 9 o r x + y = 10 o r x + y = 11 o r x + y = 12 ) P(x + y > 6) = P(x + y = 7 \, or \,x + y = 8 \\\, or \,x + y = 9\, or \, x + y = 10 \, or \,x + y = 11\, or \,x + y = 12) P ( x + y > 6 ) = P ( x + y = 7 or x + y = 8 or x + y = 9 or x + y = 10 or x + y = 11 or x + y = 12 )
P ( x + y = 7 ) = P ( x = 5 a n d y = 2 ) + P ( x = 4 a n d y = 3 ) + P ( x = 3 a n d y = 4 ) + P ( x = 2 a n d y = 5 ) P(x + y = 7) = P(x = 5 \,and \, y = 2) + P(x = 4 \, and \, y = 3) + P(x = 3 \,and \, y = 4) + P(x = 2 \,and \,y = 5) P ( x + y = 7 ) = P ( x = 5 an d y = 2 ) + P ( x = 4 an d y = 3 ) + P ( x = 3 an d y = 4 ) + P ( x = 2 an d y = 5 )
= ( 0.25 ( 6 − 5 ) ∗ 0.25 ∗ 2 10 + 0.25 ( 6 − 4 ) ∗ 0.25 ∗ 3 10 + 0.25 ∗ 3 10 ∗ 0.25 ( 6 − 4 ) + 0.25 ∗ 2 10 ∗ ( 0.25 ( 6 − 5 ) = (0.25(6-5) * \frac{0.25 * 2}{10} + 0.25(6-4) * \frac{0.25 * 3}{10} + \frac{0.25 * 3}{10} * 0.25(6-4) + \frac{0.25 * 2}{10} * (0.25(6-5) = ( 0.25 ( 6 − 5 ) ∗ 10 0.25 ∗ 2 + 0.25 ( 6 − 4 ) ∗ 10 0.25 ∗ 3 + 10 0.25 ∗ 3 ∗ 0.25 ( 6 − 4 ) + 10 0.25 ∗ 2 ∗ ( 0.25 ( 6 − 5 )
= 0.1
P ( x + y = 8 ) = P ( x = 5 a n d y = 3 ) + P ( x = 4 a n d y = 4 ) + P ( x = 3 a n d y = 5 ) P(x + y = 8) = P(x = 5 \, and \,y = 3) + P(x = 4 \,and \,y = 4) + P(x = 3 \,and \,y = 5) P ( x + y = 8 ) = P ( x = 5 an d y = 3 ) + P ( x = 4 an d y = 4 ) + P ( x = 3 an d y = 5 )
= ( 0.25 ( 6 − 5 ) ∗ 0.25 ∗ 3 10 + 0.25 ( 6 − 4 ) ∗ 0.25 ( 6 − 4 ) + 0.25 ∗ 3 10 ∗ ( 0.25 ( 6 − 5 ) = (0.25(6-5) * \frac{0.25 * 3}{10} + 0.25(6-4) * 0.25(6-4) + \frac{0.25 * 3}{10} * (0.25(6-5) = ( 0.25 ( 6 − 5 ) ∗ 10 0.25 ∗ 3 + 0.25 ( 6 − 4 ) ∗ 0.25 ( 6 − 4 ) + 10 0.25 ∗ 3 ∗ ( 0.25 ( 6 − 5 )
= 0.2875
P ( x + y = 9 ) = P ( x = 5 a n d y = 4 ) + P ( x = 4 a n d y = 5 ) P(x + y = 9) = P(x = 5 \, and \,y = 4)+ P(x = 4 \, and \,y = 5) P ( x + y = 9 ) = P ( x = 5 an d y = 4 ) + P ( x = 4 an d y = 5 )
= ( 0.25 ( 6 − 5 ) ∗ ( 0.25 ( 6 − 4 ) + ( 0.25 ( 6 − 4 ) ∗ ( 0.25 ( 6 − 5 ) = (0.25(6-5) * (0.25(6-4) + (0.25(6-4) * (0.25(6-5) = ( 0.25 ( 6 − 5 ) ∗ ( 0.25 ( 6 − 4 ) + ( 0.25 ( 6 − 4 ) ∗ ( 0.25 ( 6 − 5 )
= 0.125
P ( x + y = 10 ) = P ( x = 5 a n d y = 5 ) P(x + y = 10) = P(x = 5 \, and \, y = 5) P ( x + y = 10 ) = P ( x = 5 an d y = 5 )
= ( 0.25 ( 6 − 5 ) ∗ ( 0.25 ( 6 − 5 ) = (0.25(6-5) * (0.25(6-5) = ( 0.25 ( 6 − 5 ) ∗ ( 0.25 ( 6 − 5 )
= 0.0625
P ( x + y = 11 ) = 0 P(x + y = 11) = 0 P ( x + y = 11 ) = 0
P ( x + y = 12 ) = 0 P(x + y = 12) = 0 P ( x + y = 12 ) = 0
P ( x + y > 6 ) = 0.1 + 0.2875 + 0.125 + 0.0625 P(x + y > 6) = 0.1 + 0.2875 + 0.125 + 0.0625 P ( x + y > 6 ) = 0.1 + 0.2875 + 0.125 + 0.0625
Answer : 0.575
Part c) Probability of having less than 253 visits in 100 hours
Average visits per hour (x) = 253 100 \frac{253}{100} 100 253 = 2.53
Expectation of x = μ = ∑ x p ( x ) \mu = \sum{x p(x)} μ = ∑ x p ( x )
X px xpx p(x) * (x-\mu)^2
0 1 10 \frac{1}{10} 10 1 0 1.296
1 0.25 10 \frac{0.25}{10} 10 0.25 0.025 0.169
2 0.5 10 \frac{0.5}{10} 10 0.5 0.1 0.128
3 0.75 10 \frac{0.75}{10} 10 0.75 0.225 0.027
4 0.5 2 0.08
5 0.25 1.25 0.49
μ = 0 + 0.025 + 0.1 + 0.225 + 2 + 1.25 = 3.6 \mu = 0 + 0.025 + 0.1 + 0.225 + 2 + 1.25 = 3.6 μ = 0 + 0.025 + 0.1 + 0.225 + 2 + 1.25 = 3.6
V a r ( x ) = ∑ p ( x ) ∗ ( x − μ ) 2 = 2.433 Var(x) = \sum{ p(x) * (x-\mu)^2} = 2.433 Va r ( x ) = ∑ p ( x ) ∗ ( x − μ ) 2 = 2.433
σ = 2.433 = 1.5598 \sigma = \sqrt{2.433} = 1.5598 σ = 2.433 = 1.5598
Z v a l u e = x − μ s d = 2.53 − 3.6 1.5598 = − 0.686 Z value = \frac{x- \mu}{sd} = \frac{2.53- 3.6}{1.5598} = -0.686 Z v a l u e = s d x − μ = 1.5598 2.53 − 3.6 = − 0.686
At z value = − 0.686 = -0.686 = − 0.686 ,p = 0.2464 p = 0.2464 p = 0.2464
Answer: 0.2464
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