00:01
Hi, question number one is incomplete.
00:02
So we move on to the question number two.
00:05
So we have in this question number two basically, we say that in question number two.
00:11
So the following are null hypothesis except which one.
00:14
So if you just look at option a, the average annual income of all the families was 36 ,000.
00:19
That's nulliposis right.
00:20
There's no significant difference between the average life of brand delightful and that of brand b lightful.
00:25
So the difference is coming out to be zero.
00:27
So again, in all hypothesis.
00:29
If you look at a c part, the proportion of metro, manila college students who prefer the taste of the goncha is less than 2 by 3 so we look at see here null hypothesis is coming out to be it says that the proportion is less than 2 by 3 so that generally we give in the alternative hypothesis for something is less than or greater than so we go with the option c here that could not be the null that could not be the null null null null null null null null null null null this is next we go on to the next problem he had for 3 to 6 we have population mean is 150 standard deviation is 20 and is 100 so we're given here population deviation right and n is also very large right so n is very large and n is very large and also it is given sigma is given right so we go for z -d s chair we go for z -d s so we have the hypothesis now the alternate null is coming out to be we have mu is equal to 150 and the alternative is coming out to be we have mu is not equal to 150 because as we read the statement statement says that it has been claimed that every number of hours the millionians spends watching netflix is 150 hours right researcher which is to test whether this claim is true right this claim is true or not so it is as a alternative policies we go for z test now so z is given as we have expanded negative mu over sigma by root n.
02:11
You put the values here.
02:13
That's going to be 144, negative 150 over we have sigma, that is 20 over root n, root hundred.
02:24
And we get the value as negative 3.
02:26
So the test value is going to have to be negative 3.
02:29
And accordingly, if you go for the p value, for p value, i use the axle function here.
02:36
For p value, i use the axle function, and get the p value.
02:39
So we got for 2 tailp value that is equal to 0 .0027.
02:45
0 .0 .0 .0027.
02:51
I can create a snapshot of excel also.
02:54
How to calculate that.
02:56
You can see here, so 0 .00135, that's a formula here we have.
03:02
I use this normal distribution formula...