The amount of milk sold each day by a grocery store varies according to the Normal distribution with mean 130 gallons and standard deviation 12 gallons. On a randomly selected day, the probability that the store sells at least 154 gallons is A. .0228. B. .1587. C. .8413. D. .9772.
C. .8413.
Now I know the formula is x-mu/w/e that other greek letter is :P. so (154-130)/12
why C?
got after solving...
When I look at Table A @ 2, I actually get A?
@CliffSedge :)
@soty2013 , you are completely useless. Why do you give answers with no explanation?
HAHA.
@KonradZuse , you have a normal distribution, N(130,12) µ=130 σ=12 You know the z-score formula. \[\large z=\frac{x-µ}{σ}\]
yessir and I got 2.
Here, the question is what is P(X>154) which is equivalent to 1-P(X<154)
From the homework and lectures I noticed that if it's negative or positive it still stick to w/e # it seems. @ -2.0 the choice was A...
So what is P(Z<2)?
Not sure if that's the correct why to do that.
Stick with Z=2, but the P-value you find for Z=2 will be for P(Z<2), and you want P(Z>2), so subtract P(Z<2) from 1.
ic so it's 1 - 0.228?
guess not that doesn't work.
I think I'm confused on what P() is.
Rewatching the video now.
?? P(Z<2)=0.9772
benford's law right?
Maybe. I don't remember what that is.
oh I forgot a 0.
I'm just using properties of continuous distributions and rules for probabilities.
okay so I was doing this right.
so yeah the answer is D then.
I kept getting confused with this because in the example of the law they show what each thing is.
No, the answer is definitely not (D)
Does it make sense that they have a nearly 98% chance of selling 24 gallons more than average?
no it doesn't lol.
Never forget the reality check!
By looking at this chart it shows 2 = 0.0228
I thought you wanted 1 - 0.0228
but now I see it's 1 - 0.9772.
which is what I was saying at the start... A?
No, P(Z<2)=0.9772 = 1- P(Z<-2).
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