Question

In: Statistics and Probability

Seven fair coins are flipped. The outcomes are assumed to be independent. Let X be the...

Seven fair coins are flipped. The outcomes are assumed to be independent. Let X be the number of heads.

What is the probability that X < 3?

What is the probability that X ≥ 4?

What is the probability that 3 ≤ X < 7

Solutions

Expert Solution

solution:

Given that

No.of trails = No.of fair coins tossing (n) = 7

In the event of tossing a coin

The P(getting head) = P(getting tail ) = 0.5

Let X be the random variable representing No.of heads

Here, X~ B(n,p)  

~B(7,0.5)

P(X=x) = nCx * (p)^x *(1-p)^(n-x)

The probability distribution of X is:

No.of Heads (X) Probability
0 7C0 * (0.5)^0 *(0.5)^(7) = 0.0078125
1 7C1 * (0.5)^1 *(0.5)^(6) = 0.0546875
2 7C2 * (0.5)^2 *(0.5)^(5) = 0.1640625
3 7C3 * (0.5)^3 *(0.5)^(4) = 0.2734375
4 7C4 * (0.5)^4 *(0.5)^(3) =0.2734375
5 7C5 * (0.5)^5 *(0.5)^(2) = 0.1640625
6 7C6 * (0.5)^6 *(0.5)^(1) = 0.0546875
7 7C7 * (0.5)^7 *(0.5)^(0) = 0.0078125

a) P(X<3)  

P(X<3) = P(X=0) + P(X=1) + P(X=2)

= 0.0078125 + 0.0546875 + 0.1640625

= ~ 0.2266

Therefore, Probability that X<3 =~ 0.2266

b) P(X>=4)

P(X>=4) = P(X = 4) + P(X=5) + P(X=6) + P(X=7)

= 0.2734375 + 0.1640625 + 0.0546875 + 0.0078125

= 0.5000

Therefore, Probability that X>=4 = 0.5000

c) P(3<= X < 7)

P(3<= X < 7) = P(X=3) + P(X =4) + P(X=5) + P(X=6)

= 0.2734375 + 0.2734375 + 0.1640625 + 0.0546875

= ~ 0.7656

Therefore, probability that 3 ≤ X < 7 = 0.7656


Related Solutions

Three fair coins are flipped independently. Let X be the number of heads among the three...
Three fair coins are flipped independently. Let X be the number of heads among the three coins. (1) Write down all possible values that X can take. (2) Construct the probability mass function of X. (3) What is the probability that we observe two or more heads. (i.e., P(X ≥ 2)) (4) Compute E[X] and Var(X).
Consider independent trials of flipping fair coins (outcomes are heads or tails). Define the random variable...
Consider independent trials of flipping fair coins (outcomes are heads or tails). Define the random variable T to be the first time that two heads come up in a row (so, for the outcome HT HT HH... we have T = 6). (a) Compute P(T = i) for i = 1, 2, 3, 4, 5. (b) Compute P(T = n) for n > 5.
4 fair coins are tossed. Let X be the number of heads and Y be the...
4 fair coins are tossed. Let X be the number of heads and Y be the number of tails. Find Var(X-Y) Solution: 3.5 Why?
Consider an experiment where fair die is rolled and two fair coins are flipped. Define random...
Consider an experiment where fair die is rolled and two fair coins are flipped. Define random variable X as the number shown on the die, minus the number of heads shown by the coins. Assume that all dice and coins are independent. (a) Determine f(x), the probability mass function of X (b) Determine F(x), the cumulative distribution function of X (write it as a function and draw its plot) (c) Compute E[X] and V[X]
Two fair coins are flipped at the same time. 1) What is the probability of getting...
Two fair coins are flipped at the same time. 1) What is the probability of getting a match (same face on both coins)? Answer for part 1 [The answer should be a number rounded to five decimal places, don't use symbols such as %] 2) What is the probability of getting at least two heads? Answer for part 2 [The answer should be a number rounded to five decimal places, don't use symbols such as %]
a coin, assumed to be fair, is flipped thirty six times. Five heads are observed. An...
a coin, assumed to be fair, is flipped thirty six times. Five heads are observed. An approximate 95 percent confidence interval for this number of heads can be constructed, to two decimal places, as: a(-1.09,11.09) b(0.00,10.88) c(0.07,9.95) d(-0.88,10.88) e(12.12,23.88)
Let X be the outcome of rolling a fair six-sided dice. The possible outcomes or X...
Let X be the outcome of rolling a fair six-sided dice. The possible outcomes or X are 1,2,3,4,5 and 6 and all are equally likely. What is the cumulative distribution function F(x)?
A fair coin is flipped six times. The outcomes of the coin flips form a palindrome...
A fair coin is flipped six times. The outcomes of the coin flips form a palindrome if the sequence of T’s and H’s reads the same forwards and backwards, e.g. THTTHT. Let A denote the event that the first, second and fourth flips are all ‘T’. Let Z denote the event that the six flips form a palindrome. (a) Is A independent of Z? (b) Is A independent of Z? (c) A fair coin flipped six times and a certain...
Let X be the random variable for the number of heads obtained when three fair coins...
Let X be the random variable for the number of heads obtained when three fair coins are tossed: (1) What is the probability function? (2) What is the mean? (3) What is the variance? (4) What is the mode?
Consider a statistical expirement of flipping a pair of fair coins simultaneously. Let X & Y...
Consider a statistical expirement of flipping a pair of fair coins simultaneously. Let X & Y be the number heads in flipping each coin. Define a joint density function Z = XY. (I provided the answers in bold but I need help understanding how it is solved. Thank you in advance). a) The number of possible distinct values of Z is: 2 b) The probability of Z = 0 is: 3/4 c) The mean of Z is: 1/4 d) The...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT