00:01
Hi, i'm david and i'm here to help you answer your question.
00:03
Now let me bring up your question here.
00:06
In the question here, we are going to discuss about the binomial approximation to the normal.
00:12
Let me remind you that it will the x that followed by the binomial with the n and the p.
00:18
And then x can be approximated by the normal with the mean it will equal to the n times b.
00:30
Standard deviation equal to the square root of the n times b times 1 minus b and because it followed by the normal it will turn the x will minus the mean over the standard deviation and then we obtain the standard normal in the equation we're given the 71 % of the seed planted with the aid of the new chemical fertilizer will germinate so means then the b equal to the zb171 we have the sample and equal to the 155.
01:03
So from here, if we call the x equal to the number of the seat will terminate and then x will follow by the binomial with the n equal to the 155 p equal to the 171.
01:23
Now the question asks let you find the probability that fewer than 112 on the seat, so x will be smaller than the 112.
01:35
12 and now want to find this probability because x here we can approximate x by the normal with the mean equal to n times b so n equal to 155 times b will be the 171 yet equal to 155 times 0 .71 equal to the 110 .05 and the standard division equal to the square root of the 150 times 0 .71 times 1 minus upon 71.
02:12
And then we get equal to 0 .29 taking the square root will be the 5 .649 and therefore we can convert the x into the normal by using the formula here.
02:31
Here because we have this one will be the strictly less than the 102 set of and for this one, we no need to use the continuity correction.
02:41
So therefore, when you conversion into the z, so we will have, we check, you think the 112 minus the mean, it will be 110 .05.
02:53
We will divide them by the standard deviation.
02:57
And if we compute, we will have the z will be smaller than we have the 112 minus 1 1 1 05, divided by the the answer equal to the zobon 3, 4, 5.
03:11
Now to find this probability, we will need to bring up the z table...