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Stats

Stats. Pop Quiz. True or False? Up or Down? Left or Right? Potatoes or French Fries? Coke or Pepsi? Summer or Winter? Justin Bieber or Selena Gomez? Red or Green? Day or Night? Giraffe or Monkey?. Grade Your Quiz. True Down Right French Fries Pepsi Summer Justin Bieber Green

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Stats

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  1. Stats

  2. Pop Quiz • True or False? • Up or Down? • Left or Right? • Potatoes or French Fries? • Coke or Pepsi? • Summer or Winter? • Justin Bieber or Selena Gomez? • Red or Green? • Day or Night? • Giraffe or Monkey?

  3. Grade Your Quiz • True • Down • Right • French Fries • Pepsi • Summer • Justin Bieber • Green • Day • Monkey

  4. Measures of Central Tendency • Mean: sum of data values/number of data values • Median: middle value or mean of two middle values • Mode: most frequently occurring value Now let’s find the mean, median, and mode of your quiz scores.

  5. Outlier • A value that is substantially different from other data in the set. • Which is an outlier in the set of values? • 32, 25, 87, 39, 19, 36, 18

  6. Quartile One of three values that divides a set of data into four parts. This data shows water temperatures of the ocean in Pensacola, Florida. Now let’s find the lower quartile and upper quartile of your quiz scores.

  7. Box Plot Method of displaying data that uses quartiles to form the center box and the minimum and maximum values to form “whiskers”. Now let’s make a box plot of your quiz scores.

  8. Range The difference between the highest and lowest data values. 86 – 56 = 30 The range is 30. Now let’s find the range of your quiz scores.

  9. Interquartile Range The difference between the first and third quartiles. 83 – 60.5 = 22.5 The interquartile range is 30. Now let’s find the interquartile range of your quiz scores.

  10. Your Turn • You surveyed 9 of your friends and found out their ACT scores: 24, 19, 22, 31, 25, 24, 21, 18, 29 a. Find the mean, median, and mode of the data. • Mean: 23.6; Median: 24; Mode: 24 b. Find the upper and lower quartiles of the data. • Lower: 20; Upper: 27 c. Make a box plot of the data. d. What is the range of the data? • 13 e. What is the interquartile range of the data? • 7 18 20 24 27 31

  11. Math Test Scores

  12. Math Test Scores

  13. Math Test Scores

  14. Intro Activity • For your set of data, do the following: • Find the mean, median, mode • Find the range • Find the lower and upper quartile • Find the interquartile range

  15. Intro Activity • Are the sets the same? • What does the range tell you about the sets? • Find two sets that are spread out differently, but their range is the same. • Find two sets that are spread out differently, but their interquartile range is the same.

  16. The Normal Distribution A normal distribution of data means that most of the points in a set of data are close to the "average," while relatively few points tend to one extreme or the other.

  17. Different Normal Distributions Most data close to mean Data spread out

  18. Standard Deviation • The standard deviation () is a statistic that tells you how tightly all the various examples are clustered around the mean in a set of data. When the data are spread apart and the bell curve is more flat, that tells you you have a relatively large standard deviation. When the data are pretty tightly bunched together and the bell-shaped curve is steep, the standard deviation is small.

  19. One standard deviation One standard deviation away from the mean in either direction on the horizontal axis (the red area on the above graph) accounts for somewhere around 68 percent of the people in this group. One standard deviation

  20. Two standard deviations Two standard deviations away from the mean (the red and green areas) account for roughly 95 percent of the people. Two standard deviations

  21. Three standard deviations Three standard deviations (the red, green and blue areas) account for about 99 percent of the people. Three standard deviations

  22. Men’s Heights 69” Mean is 69” Standard Deviation is 2.8 60.6” 63.4” 66.2” 71.8” 74.6” 77.4”

  23. Men’s Heights 69” Michael Jordan is 78” tall 60.6” 63.4” 66.2” 71.8” 74.6” 77.4”

  24. Outlier • A value that is substantially different from other data in the set. • Michael Jordan’s height is an outlier.

  25. Women’s Heights 63.6” Mean is 63.6” Standard Deviation is 2.5 56.1” 58.6” 61.1” 66.1” 68.6” 71.1”

  26. The standard deviation of men’s heights is 2.8” • The standard deviation of women’s heights is 2.5” • What does this tell you about how the distributions compare?

  27. Example 1 • An average light bulb manufactured by the Acme Corporation lasts 300 days with a standard deviation of 50 days. • Sketch the normal curve for this distribution, labeling the x-axis with the values that are one, two, and three standard deviations from the mean. 150 450 200 250 300 350 400

  28. Example 2 • An average IQ is 100 with a standard deviation of 10. • Sketch the normal curve for this distribution, labeling the x-axis with the values that are one, two, and three standard deviations from the mean. 70 130 80 90 100 110 120

  29. Example 3 Your production plant employs several seamstresses whose production rate is a normal distribution with a mean (x) of 50 jeans per month and a standard deviation ( ) of 3 jeans. • About what percent of the seamstress produce between 47 and 53 jeans per month? 68% b) What is the probability that a seamstress selected at random will produce more than 56 jeans per month? 2.5%

  30. c) What is the probability that a seamstress selected at random will produce between 44 and 47 jeans per month? 13.5%

  31. Conclusions – Lap Times • Racer A has a mean lap time of 20 seconds, with a standard deviation of 2.1 seconds. • Racer B has a mean lap time of 21 seconds with a standard deviation of 3.2 seconds. • What can you conclude about the two racers?

  32. Normal Curve The mean and median are the SAME. Mean – balance point Median – cuts area under curve in half

  33. A football team has the following scores for their season: 28, 39, 49, 10, 52, 0, 3, 35, 46, 38. • Find the mean of the scores. • The team won 7 games and lost 3 games. In the games they lost, they scored 0, 3, and 10 points. • Find the mean of the scores of the games they won. • How do the means compare?

  34. Negatively Skewed The low outliers pull the mean down.

  35. Positively Skewed The high outliers pull the mean up.

  36. Positively skewed, negatively skewed or normal?

  37. Positively skewed, negatively skewed or normal?

  38. Positively skewed, negatively skewed or normal?

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