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Scatter Plots and Statistics Jeopardy!

Scatter Plots and Statistics Jeopardy!. Fix With RLS (100). Carra wants to know how many students at Wheeler eat packed lunches, so she asks 500 people at the grocery store. Address what she should fix with RLS. Answer Home. Fix With RLS (100) ANSWER.

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Scatter Plots and Statistics Jeopardy!

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  1. Scatter Plots and Statistics Jeopardy!

  2. Fix With RLS (100) Carra wants to know how many students at Wheeler eat packed lunches, so she asks 500 people at the grocery store. Address what she should fix with RLS. AnswerHome

  3. Fix With RLS (100) ANSWER • R-it is currently random, but she wants to know about Wheeler students, so she should ask at Wheeler • L-she did ask a large sample size • S-She should ask at Wheeler, not the grocery store. BackHome

  4. Fix With RLS (200) • Kayla wants to know how many of her classmates play at least 3 hours of video games a night, so she asks her 10 friends on Kanikapila how many hours they play. Address what she should fix with RLS AnswerHome

  5. Fix With RLS (200) ANSWER • (R ) People she asked weren’t random • (L) Asked very few people • (S) Asked at Kanikapila practice. These students probably play less video games because they sing after school BackHome

  6. Fix With RLS (300) • Abra wants to know how many people have gages. Which situation will provide the MOST bias? • (A) asking every 3rd person at the grocery store • (B) asking every 3rd person at a jewelry parlor • (C) asking every 5th person at school • (D) asking every 5th person at a library Answer Home

  7. Fix With RLS (300) ANSWER • (B) asking every 3rd person at a jewelry parlor BackHome

  8. Fix With RLS (400) • Leila wants to know how many middle school students want to have a longer recess. What situation will provide the LEAST bias? (A) asking students who are tardy after recess (B) asking all 8th graders (C) asking every 3rd classmate (D) asking every 2nd person to come to school AnswerHome

  9. Fix With RLS (400) ANSWER • (D) asking every 2nd person to come to school Back Home

  10. Fix With RLS (500) • Design a way to measure how many students in the 8th grade eat peanut butter and jelly sandwiches for lunch. AnswerHome

  11. Fix With RLS (500) ANSWER • Answers will vary • Example: • (R) ask every 3rd eighth grader to show up for school • (L) ask the entire 8th grade population • (S) ask at Wheeler BackHome

  12. What’s Misleading? (100) Home Answer

  13. What’s Misleading? (100)ANSWER • The size of the picture of the animals are very different, so even though each picture means 50, it looks like more people own horses than any other animal. Back Home

  14. What’s Misleading? (200) AnswerHome

  15. What’s Misleading? (200)Answer • Although the vertical scale starts at 0, it does not go up in even steps. This distorts the graph, and makes it look as though the biggest jump is between 1 and 2, rather than 3 and 4. • Also, there are no labels on the axes, so we have no idea what this graph represents! Back Home

  16. What’s Misleading? (300) AnswerHome

  17. What’s Misleading? (300)ANSWER • From this graph, it looks as though house prices have tripled in one year! It is misleading because the vertical axis does not start at 0. BackHome

  18. What’s Misleading? (400) AnswerHome

  19. What’s Misleading? (400)ANSWER • There is no scale on the vertical axis and, because of the perspective, it looks as though sales for 1995 were far greater than those for any other year. In fact, they were identical to those in 1997. BackHome

  20. What’s Misleading? (500) AnswerHome

  21. What’s Misleading? (500) ANSWER • The cars, trucks and semis are all different sizes, so it looks like there are more trucks and semis than there are. Back Home

  22. Predict the Future Value (100) Predict the value of the German Mark if the French Mark is at 100. AnswerHome

  23. Predict the Future Value (100) Answer • Around 105 • (100, 105) • Acceptable answers 100 – 120 BackHome

  24. Predict the Future Value (200) Predict the hours of sleep if you drink 10 cups of coffee. AnswerHome

  25. Predict the Future Value (200) ANSWER • Around 1.5 • (10, 1.5) • Acceptable Answers between 1 and 2. Back Home

  26. Predict the Future Value (300) • Line of best fit: y = 3x – 35 • Predict the y value when x is 14. Answer Home

  27. Predict the Future Value (300) ANSWER • y = 7 • (14, 7) Back Home

  28. Predict the Future Value (400) • Slope: 2 • Y-intercept: -28 • Predict the value of y when x is 45 Answer Home

  29. Predict the Future Value (400) ANSWER • 62 • (45, 62) • Line of best fit: y = 2x – 28 Back Home

  30. Predict the Future Value (500) • The line of best fit goes through the points (3, 9) and (12, 27). • Predict the value of y when x is 15. Answer Home

  31. Predict the Future Value (500) ANSWER • 33 • (15, 33) • Line of best fit: y = 2x + 3 BackHome

  32. Line of Best Fit (100) Is y = .5x + 2.75 a good estimate for this line? AnswerHome

  33. Line of Best Fit (100) ANSWER • No, the slope matches, but the y-intercept is slightly too high. BackHome

  34. Line of Best Fit (200) • Is this a good line of best fit? AnswerHome

  35. Line of Best Fit (200) ANSWER • No, the data is not spread above and below the line evenly • Cannot use the line to estimate where most points will fall on the line. Back Home

  36. Line of Best Fit (300) • What type of correlation would you expect to see if you were measuring the number of cats (x) vs. the number of mice (y) in a farmer’s barn? Answer Home

  37. Line of Best Fit (300) ANSWER • Negative correlation. As the number of cats increases (x) the number of mice in the barn (y) will decrease. BackHome

  38. Line of Best Fit (400) • A line of best fit goes through the points (4, 18) and (12, 34). What is the equation of the line of best fit? Answer Home

  39. Line of Best Fit (400) ANSWER • Y = 2x + 10 BackHome

  40. Line of Best Fit (500) • A line of best fit goes through the points (7, 11) and (2, -5). What is the equation of the line of best fit? AnswerHome

  41. Line of Best Fit (500) ANSWER • Y = 3.2x – 11.4 BackHome

  42. Trends and Outliers (100) Describe the correlation seen in the graph to the left. AnswerHome

  43. Trends and Outliers (100)ANSWER • Positive correlation • Can’t be “no correlation” because they follow an upward pattern and there are no values in the lower right to suggest no connection. BackHome

  44. Trends and Outliers (200) • Are there any outliers? If so, identify them by location. If not, explain how you know. Answer Home

  45. Trends and Outliers (200) ANSWER • There are no outliers. The data is tightly clustered around the line.

  46. Trends and Outliers (300) • Which graph shows the relationship between a dog’s age and how fast it can run? AnswerHome

  47. Trends and Outliers (300) ANSWER • C • As the dog gets older, it can’t run as fast. BackHome

  48. Trends and Outliers (400) • Could I describe the relationship in this graph as “the fewer years you work, the less income you make”? AnswerHome

  49. Trends and Outliers (400) ANSWER • YES • Remember, the word “less” is tricky. Avoid it to avoid making mistakes. BackHome

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