00:01
In this question we're given that a coin is rig.
00:04
Probability of getting a head in a toss is 0 .2.
00:07
So probability of getting a tail will be 1 minus probability of getting a head.
00:13
And so probability of getting a tail will be 0 .8.
00:18
Now you flip the coin three times, and the random variable x is the number of heads out of the three tosses.
00:26
I'm going to let event h be a head appears in a toss, and t be a tail appears in a toss.
00:32
And as is the entire sample space, it consists of all the possible outcomes.
00:39
In part a, we want to find the probability distribution of the random variable x.
00:45
Now, take note that we have three trials here, since the coin is tossed three times.
00:49
So, n, the number of trial is three.
00:52
And p, probability of success in a single trial, and there is probability of getting a hay in a toss, and that will be 0 .2.
01:00
So this is probability of event h and this is probability of event.
01:10
So x follows the binomial distribution.
01:14
N is 3, p is 0 .2.
01:18
So probability x equals to r, where r is the number of success, out of n trials, in this case, is the number of heads out of three tosses.
01:31
And that will be three choose r, 0 .2 to the power r and 1 minus 0 .2 will be 0 .8 to the power 3 minus r.
01:40
Now i'm going to draw the probability distribution table here.
01:45
This is r and this is probability x equals to r.
01:49
Now possible values for r will be 0, 1, 2, 3...