Alex is back in the game on Tinder. Let ?? be a random variable that is equal to 1 if?-th person is a match. Suppose each match happens independently of the others with probability 0.3. Let ?1, . . . , ?? denote a random sample.
1) If ? = 6, ? (X̄? ≤ 1/6) is equal to
(a) 0.34
(b) 0.36
(c) 0.42 (correct)
(d) 0.44
2) If ? = 6, ? (X̄? ≤ 5/6) is equal to
(a) 0.923
(b) 0.678
(c) 0.111
(d) 0.999 (correct)
3) The variance ?2 of ?? is
(a) 0.21 (correct)
(b) 0.3
(c) 0.09
(d) 0.12
4)If ? = 36, ? (X̄? ≤ 0.35) is approximately equal to
(a) 0.6546
(b) 0.7422 (correct)
(c) 0.8216
(d) 0.9347
5) If ? = 36, ? (X̄? ≤ 0.25) is approximately equal to
(a) 0.2578 (correct)
(b) 0.3244
(c) 0.7422
(d) 0.8216
1)for binomial distribution
P(Xbarn <=1/6)=P(X <=6/6)=P(X <=1) =P(X=0)+P(X=1)=6C0(0.3)0(0.7)6+6C1(0.3)1(0.7)5=0.4202
2) ? (X̄? ≤ 5/6) =P(X<=5)=1-P(X=6)=1-6C6(0.3)6(0.7)0 =1-0.0007 =0.9993
3) variance =p(1-p)=0.3*(1-0.3)=0.21
4)
for normal distribution z score =(p̂-p)/σp | |
here population proportion= p= | 0.300 |
sample size =n= | 36 |
std error of proportion=σp=√(p*(1-p)/n)= | 0.0764 |
probability = | P(X<0.35) | = | P(Z<0.65)= | 0.7422 |
5)
probability = | P(X<0.25) | = | P(Z<-0.65)= | 0.2578 |
Get Answers For Free
Most questions answered within 1 hours.