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Hey there, welcome to numerade.
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We are giving a series of questions here and relating to z scores and probabilities.
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So let's start with our part a.
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Find a z score here corresponding to our values.
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So what we know here is that our z score equation we're going to be utilizing is x minus the population mean, divided by the population standard deviation.
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So our x value in this case is 75 minus 80 divided by our population standard deviation 2 .75.
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So let's see what we get here.
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Giving us a c score of around negative 1 .82.
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All right.
00:59
So let's try part b over here.
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For part b, find a raw score corresponding to c score equals 2 .6.
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So we're going to find the raw score here.
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So we have z score 2 .6, multiplied by our standard deviation of 2 .75.
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And then we're going to add our mean, which is 80.
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And let's see what we get here.
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2 .6 times 2 .75 plus 80 equals 87 .15.
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All right.
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And let's try part c over here.
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So for part c, we have determined area under the standard normal curve in which we have the probability, where the z score is greater than negative 2 .41.
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So we can directly use our z score probability table to find what is our area here, to greater than negative 2 .41.
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So what we get here is a probability of 0 .9920.
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Alright, so let's carry on to part d...