00:01
A random number generates 500 numbers that follows normally distributed, standard normal.
00:10
So let us write like this is that follows standard normal distributed.
00:15
And here the data set are given.
00:19
It is seen that less than minus 0 .6, we have 139 and between minus 0 .6 to minus 1 .1, we have 1 .01.
00:28
Between minus 1 .01 to 0 .1, we have 41 counts and between 0 .1 to 0 .6 we have 78 numbers observed, then greater than 0 .6 we have observed 1 .40.
00:41
Now, we have to evaluate the corresponding probabilities, which means that probability of x less than minus 0 .6 is the value.
00:50
And by using the excel formula that is equal to norm.
00:57
D .s.
00:57
Dot dist.
01:01
Since it is standard normal, we can write norm.
01:04
S dot dist, the value minus 0 .6 and then the cumulative values are used true.
01:12
Using this, we have the answer is 0 .2743.
01:17
And for the next probability, that is, the values are between minus minus 6 less than z less than minus 0 .1, then this can be done using probability of z less than minus 0 .1 minus probability of z less than minus 0 .6.
01:39
Since you're subtracting the higher probability minus lower probability, each of this is done using this one itself, that is norm .s.
01:49
Dot s.
01:50
Dot, gist, dot minus 0 .1, true, and minus of this value itself, that is above probability.
02:03
Again, i am writing the equation here also.
02:06
Then, minus 0 .6 true.
02:09
Then, by subtracting these two probabilities, we have the answer, 0 .1859.
02:16
In a similar way, we have evaluated the probability between minus 0 .1 z less than 0 .1 and probability of 0 .1 less than 0 .6, also probability of z greater than 0 .6.
02:37
4 are evaluated and are shown in the table in this picture...