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3.5 Applying the Normal Distribution: Z-Scores  How can the Normal Distribution be used to accurately determine the percentage of data that lies above.

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Presentation on theme: "3.5 Applying the Normal Distribution: Z-Scores  How can the Normal Distribution be used to accurately determine the percentage of data that lies above."— Presentation transcript:

1 3.5 Applying the Normal Distribution: Z-Scores  How can the Normal Distribution be used to accurately determine the percentage of data that lies above or below a given data value?  How can the Normal Distribution be used to compare data from two different data sets? Enter… “The Standard Normal Distribution”

2 3.5 Applying the Normal Distribution: Z-Scores  Two students from different schools have a mark in a MDM 4U class. Adam has a mark of 83 Brenda has a mark of 84  Who has a better grade?

3 3.5 Applying the Normal Distribution: Z-Scores  Not so easy to answer… Adam’s class average is 70 with a sdev of 9.8 Brenda’s class average is 74 with a sdev of 8 (Assume a Normal Distribution of marks in both classes)  To make the comparison – must STANDARDIZE the distributions.

4 3.5 Applying the Normal Distribution:Z-Scores Standard Normal Distribution Special normal distribution with a mean of 0 and a standard deviation of 1 X~N(0,1 2 ) N(2.1, 9) ≡ mean of 2.1 and sdev of 3 Each element of a normal distribution can be translated to the same place on a Standard Normal Distribution by determining the number of standard deviations a given score lies away from the mean.

5 3.5 Applying the Normal Distribution:Z-Scores  For a given score, x, we can say:  ‘z’ is the number of sdev the score lies above or below the mean  Solving for z:  This is the z-score of a piece of data

6 3.5 Applying the Normal Distribution: Z-Scores  A positive z-score indicates the value lies above the mean  A negative z-score indicates the value lies below the mean

7 3.5 Applying the Normal Distribution: Z-Scores  Calculating the z-scores for Adam & Brenda  Now you can see that Adam has the better mark as he is 1.33 sdevs from the mean vs 1.25 sdevs in Brenda’s case.

8 3.5 Applying the Normal Distribution: Z-Scores Z-Score Table Used to find the proportion of data that has an equal or lesser score than a given value under the standardized normal distribution curve  Found in back of textbook Pg 398 & 399

9 3.5 Z-Score Tables

10 3.5 Applying the Normal Distribution: Z-Scores Example The annual returns from a particular mutual fund are believed to be normally distributed. A sample of the last 15 years of historic returns are listed in the following table. 1.Determine the mean & standard deviation of the annual return. 2.What is the probability that an annual return will be: i.At least 9%? ii.Negative? 3.What is the probability the investment will yield a return greater than 6%?

11 3.5 Applying the Normal Distribution: Z-Scores Year Return (%) Year Return (%) Year Return (%)

12 3.5 Applying the Normal Distribution:  Home Entertainment Page 186 #1- 5, 7, 8, 10, 13, 17, 18


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