00:01
Here we are told that 30 % of all students want to buy a new text for a certain course, and we define that as the success.
00:09
And so 70 % of students want a used copy.
00:13
And we have a random selection of 25 purchasers.
00:20
So we have n equals 25.
00:24
We have probability of success is equal to 0 .3.
00:29
So if we define the random variable x as the number of successes, that is the number of students or people who want to buy the new book, it follows a binomial distribution based on a size of 25 and a probability of success of 0 .3.
00:52
Now for part a, we're asked for the mean value and the standard deviation on the number who want the new copy.
00:58
So that's the mean and the standard deviation on the number of successes.
01:13
So for a binomial random variable, the mean is given by n times p.
01:20
Which is 25 times 0 .3, which comes out to 7 .5, and the standard deviation on x is given by, and that comes out to about 2 .29.
02:02
Now, for part b, we're asked what is the probability that the number of successes will be more than two standard deviations away from the mean value.
02:12
So our mean value is 7 .5, and standard deviation is about 2 .3.
02:20
So basically the question is asking, what is the probability that the number of successes is, well, i'll give the range first.
02:34
So 7 .5 is the mean, plus or minus two standard deviations, so 2 times 2 .29.
02:59
So that's 5 .21 or 9 .79.
03:08
So we're really looking for the probability of being more than two standard deviations above 7 .5 or more than two standard deviations below 7 .5.
03:21
So we can say we're looking for the probability that the number of successes is less than or equal to.
03:30
Now successes, it's a discrete distribution so we can only have integer numbers of successes.
03:35
So if we have five or less successes, we are more than two standard deviations below 7 .5.
03:46
But we can also have at least 10 successes, which would put us more than two standard deviations above 7 .5.
03:58
So this can be written as probability of at most five successes, plus 1 minus the probability of at most 9 successes.
04:25
So this is equal to 0 .193 plus 1 minus 0 .93.
04:37
811 and that comes out to 0 .383...