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Normal Distribution
Did you know ACT and SAT Score are normally distributed?
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IF DATA IS NORMALLY DISTRIBUTED…
•MEAN = MEDIAN = MODE
•SYMMETRIC ABOUT THE CENTER (MEAN)
•50% OF THE DATA IS BELOW THE MEAN
•50% OF THE DATA IS ABOVE THE MEAN
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THE BREAKDOWN 68% of the data falls with 1 standard deviation of the mean
95% of the data falls within 2 standard deviations of the mean
99.7% of the data falls within 3 standard deviations of the mean
68%
95%99.7%
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IN MORE DETAIL…
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Standard Deviation (Sx)
Standard deviation is how spread out the numbers are, or the average distance from the mean.
It is good to know the standard deviation, because we can say that any value is:– likely to be within 1 standard deviation (68%)– very likely to be within 2 standard deviations (95%)– almost certainly within 3 standard deviations (99.7%)
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Suppose the mean weekly income at Microsoft is $1250, distributed normally, and the standard deviation is $250.
Label a normal curve and answer the following questions:
1. What percentage of workers earn more than $1500 a week?
2. What percentage of workers earn less than $750 a week?
3. If there are 5000 workers, how many workers earn less than $1000 a week?
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In an Oreo factory, the mean mass of a cookie is given as 40 g. For quality control, the standard deviation is 2 g.
Sketch the normal distribution curve and answer the following questions:
1. If 10,000 cookies were produced, how many were within 2 grams of the mean?
2. Cookies are rejected if they weigh more than 44 g or less than 36 g. If 10,000 are produced, how many would you expect to be rejected?
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Z-Scores A z-score tells you the exact number of standard
deviations from the mean (where you fall on the bell curve).
1. Subtract your score and the mean.2. Divide by the standard deviation.
+ Z SCORE - You are above average.- Z SCORE - You are below average.
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Find Your Z-Score on the SAT
Reading
• 496• SD=115
Math
• 514• SD=118
Writing
• 488• SD=114
Using your own SAT scores, calculate your Z-score for each section of the SAT. If it is positive, you are above average, if it is negative, you are below
average. The higher the positive number, the higher percentile you are in.
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383.0115
496540
983.0118
514630
246.0114
488460
0.383 standard deviations above the mean
0.983 standard deviations above the mean
0.246 standard deviations below the mean
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