00:01
All right.
00:01
So first off, i want to start off by reminding you what the definition of a z score is.
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A z score is the number of standard deviations that a given value is from the mean.
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And if that number is to the right of the mean, then the z score is a positive number.
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And if that number is to the left of the mean, then it has a negative z score.
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So let's look at part a.
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What is this? the z score of x equals 4 if it is 1 .9 standard deviations to the left of the meet.
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That means that x equals 4 has a z score of negative 1 .9.
00:51
See right there it just says is 1 .9 standard deviations to the left of the mean.
00:57
That's the definition of z score.
00:59
In other words the z score is 1 .9 with a negative.
01:03
Since it's to the left of the mean.
01:06
Part b, what is the z score of x equals 5 if it is 0 .166 standard deviations to the left of the mean? okay, to the left of the mean, so it's negative.
01:21
And if it's 0 .166 standard deviations to the left, then your answer is z equals negative .166.
01:32
Okay, part c, if x is in a normal distribution with a 12 and a 1 in parentheses.
01:43
Well, here's what you need to know.
01:45
The first number after the n is the mean, and the second number is the standard deviation.
01:55
So now, part c says if a value in this distribution has a z score of negative 2 .25, what was that number? so here's what we're going to do.
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We have our z score formula.
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Z equals score minus mean divided by standard deviation.
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So here in this problem, z is negative 2 .25.
02:27
So i'm going to substitute that there.
02:30
Equals the score is unknown minus the mean of 12 divided by the standard deviation of 1.
02:38
Now, isn't that really just negative 2 .25 equals x minus 12? and then if you add 12 to both sides, we will get that x is, well, i've got to grab my calculator here...