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Today s Goals

Newspaper articles. Correlation versus causationWin-win situation on immigration"In states with a higher percentage of HB-1 visas, both immigrants and non-immigrants have more patent applications.What is the implication of the headline? What is causing what?. Newspaper articles. Correlation vers

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Today s Goals

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    1. Todays Goals Calculate quantities using the normal distribution Find percentiles of normal distributions Homework #8 (due Wednesday April 1) : CH3:79, 110, 122, CH4: 5,13, 40 plus three web problems. Midterm Wednesday April 8 (esp lectures 10 23) Office hours this week: Today until 3:30. Tuesday 2:30 4:30

    2. Newspaper articles Correlation versus causation Win-win situation on immigration In states with a higher percentage of HB-1 visas, both immigrants and non-immigrants have more patent applications. What is the implication of the headline? What is causing what?

    3. Newspaper articles Correlation versus causation Win-win situation on immigration In states with a higher percentage of HB-1 visas, both immigrants and non-immigrants have more patent applications. What is the implication of the headline? What is causing what? Headline implies that having more immigrant scientists and engineers is good for science: immigrants are causing better science But, another possibility is that areas with active science communities are doing better economically and have more need to hire immigrants: better science leads to more immigrants.

    4. Normal Probability Calculations Probability density function: Theoretical range of X is -8 to +8. The parameters of the Normal Distribution are the mean m and the standard deviation s.

    5. Standard Normal The normal distribution with parameters 0 and 1 is called a standard normal distribution. A random variable that has a standard normal distribution is called a standard normal random variable and will be denoted by Z. The pdf of Z is:

    7. Normal Probability Calculations: Standardization Then, we can use the standard tables

    10. Standard Normal Tables (z-Tables)

    12. Standard Normal Tables (z-Tables)

    13. Reading the Table A.3 on page 740 The values of z are listed down the rows (up to first decimal digit) and across the top of the columns (second decimal digit). The probability that Z is less than or equal to z is listed within the appropriate row.

    14. Standard Normal Tables (z-Tables)

    15. Example Resistors made by a certain manufacturer have resistances that are normally distributed with a mean of 9.9 ohms and SD of 0.1ohms. If the specification limits are 10 0.2 ohms, what fraction of the resistors conform to the specification limits? X: resistance of a randomly selected resistor.

    16. Solution Fraction conforming to specification limits: Thus 84% of the resistors conform to the specification limits and 16% do not.

    17. Percentiles The 100pth percentile is identified by the row and column in which the entry p appears.

    18. Percentile To find the (100p)th percentile, find the value z that has probability of p. Find the 30th percentile of the standard normal.

    19. Percentile To find the (100p)th percentile, find the value z that has probability of p. Find the 30th percentile of the standard normal.

    20. Percentile To find the (100p)th percentile, find the value z that has probability of p. Find the 30th percentile of the standard normal.

    21. Percentiles The 100pth percentile is identified by the row and column in which the entry p appears. What is the 99th percentile of X~N(50,20)? We want the x such that p(X<x) = .99

    22. Percentiles The 100pth percentile is identified by the row and column in which the entry p appears. What is the 99th percentile of X~N(50,202)? We want the x such that p(X<x) = .99 Translate to: Find 99th percentile of Z: 2.33 (x-50)/20 = 2.33 x = 2.33 * 20 + 50 = 96.6

    23. Percentiles The 100pth percentile is identified by the row and column in which the entry p appears. What is the 99th percentile of X~N(50,202)? We want the x such that p(X<x) = .99 Translate to: Find 99th percentile of Z: 2.33 (x-50)/20 = 2.33 x = 2.33 * 20 + 50 = 96.6 In general: x(percentile) = z(percentile) * s + m

    24. Percentiles The 99th percentile of Z is 2.33 p(Z < 2.33) = .99 What is the 1st percentile of Z?

    25. Percentiles The 99th percentile of Z is 2.33 p(Z < 2.33) = .99 What is the 1st percentile of Z? What is the 1st percentile of X ~ N(50,202)?

    26. Percentiles The 99th percentile of Z is 2.33 p(Z < 2.33) = .99 What is the 1st percentile of Z? -2.33 What is the 1st percentile of X ~ N(50,202)? x = -2.33*20+50 = 3.4 There is only a 1% chance that X is less than 3.4.

    27. Example Test scores X ? N(? =500, ? =100). What does your score have to be to assure that you are among the top 10%? And to be among the top 5%? How well have you done in relation to the others if your score is 750?

    28. Solution Let's calculate the corresponding percentiles of the distribution: Thus, you need at least a score of 628 to be among the top 10%.

    29. Example Test scores X ? N(? =500, ? =100). What does your score have to be to assure that you are among the top 10%? And to be among the top 5%? How well have you done in relation to the others if your score is 750?

    30. Solution Let's calculate the corresponding percentiles of the distribution: Thus, you need at least a score of 628 to be among the top 10% and at least 664.5 to be on the top 5%.

    31. Example Test scores X ? N(? =500, ? =100). What does your score have to be to assure that you are among the top 10%? And to be among the top 5%? How well have you done in relation to the others if your score is 750?

    32. Example Now, your score of 750 corresponds to a standard value 2.5 standard deviations above the mean. Then, P(X < 2.5)=0.938 ? you are among the 6.2% top students.

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