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Section 7.2.2 Means and Variances of Random Variables AP Statistics.

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Presentation on theme: "Section 7.2.2 Means and Variances of Random Variables AP Statistics."— Presentation transcript:

1 Section 7.2.2 Means and Variances of Random Variables AP Statistics

2 AP Statistics, Section 7.2, Part 1 2 Rules for Means Rule 1: The same scale change of elements of a probability distribution has the same effect on the means. Rule 2: The mean of sum of the two distributions is equal to the sum of the means.

3 Example 1: We are tracking the temperature in Tracy. Let F=the degrees in Fahrenheit. The probability distribution is: Temp in degrees F 55545352 P(F)0.80.10.05

4 Rules for Variances AP Statistics, Section 7.2, Part 1 4 *a has no effect on the variance. When I add a to all #’s it shifts the distribution, but it’s variance(how skinny/fat) stays the same. *X and Y have no correlation p, hence p=0

5 Rules for Variances(continued) AP Statistics, Section 7.2, Part 1 5

6 6 Rule 1 Example A company believes that the sales of product X is as follows. X10003000500010,000 P(X).1.3.4.2

7 AP Statistics, Section 7.2, Part 1 7 Rule 1 Example If the expected profit on each sale of Product X is $2000, what is the overall expected profit?

8 AP Statistics, Section 7.2, Part 1 8 Rule 1 Example A company believes that the sales of product Y is as follows. Y300500750 P(Y).4.5.1

9 AP Statistics, Section 7.2, Part 1 9 Rule 1 Example If the expected profit on each sale of Product Y is $3500, what is the overall expected profit?

10 AP Statistics, Section 7.2, Part 1 10 Rule 2 Example What is the total expected profits combined of both Product X and Product Y?

11 AP Statistics, Section 7.2, Part 1 11 Rules for Variances of Independent Distributions Only if the distributions are independent can you apply these rules… Rule 1: If a scale change involves a multiplier b, the variance changes by the square of b. Rule 2: The variance of sum of the two distributions is equal to the sum of the variances. Rule 2b: The variance of difference of the two distributions is equal to the sum of the variances.

12 AP Statistics, Section 7.2, Part 1 12 Example The Daily 3 lottery has the following mean and variance for its payout: What is the mean and variance of the winnings?

13 AP Statistics, Section 7.2, Part 1 13 Example The Daily 3 lottery has the following mean and variance for its payout: What is the mean and variance of the payouts of playing twice? *Note – Variances of independent random variables add; standard deviations do not.

14 AP Statistics, Section 7.2, Part 1 14 Example The Daily 3 lottery has the following mean and variance for its payout: What is the mean and variance of the payouts of playing every day of the year?

15 AP Statistics, Section 7.2, Part 1 15 Assignment

16 AP Statistics, Section 7.2, Part 1 16 General Rules for Variances Here are the rules if the events are not independent (ρ=population correlation) Rule 1: If a scale change involves a multiplier b, the variance changes by the square of b. Rule 2: The variance of sum of the two distributions is equal to the sum of the variances. Rule 2b: The variance of difference of the two distributions is equal to the sum of the variances.

17 Playing roulette $1 vs $5min bet AP Statistics, Section 7.2, Part 1 17

18 Dealing with Temperature “change” AP Statistics, Section 7.2, Part 1 18

19 AP Statistics, Section 7.2, Part 1 19

20 “a” has no effect on varience AP Statistics, Section 7.2, Part 1 20

21 AP Statistics, Section 7.2, Part 1 21

22 AP Statistics, Section 7.2, Part 1 22

23 AP Statistics, Section 7.2, Part 1 23

24 AP Statistics, Section 7.2, Part 1 24

25 AP Statistics, Section 7.2, Part 1 25

26 AP Statistics, Section 7.2, Part 1 26

27 AP Statistics, Section 7.2, Part 1 27 Assignment Exercises, section 7.2: 7.34-7.48 all (Due Monday). Summary due Monday


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