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Algebra 2 Name__________________________________________#____ 2.2 + Review HW 1. Given the data set : 41, 55, 48, 44 find the standard deviation “by hand.” Be sure to show your work. 2. The mean diameter of a Purdy Goode Compact Disc is 12.0 cm, with a standard deviation of 0.012 cm. No CDs can be shipped that are more than two standard deviations from the mean. What type of CD’s would not be allowed to ship? 3. The students in four classes recorded their resting pulse rates in beats per minute. The class means and standard deviations are given at the right. 4. Class Mean First Period Second Period Fifth Period Sixth Period 79.4 74.6 78.2 80.2 a. Which class has students with pulse rates most alike? How can you tell? b. Can you tell which class has the students with the fastest pulse rates? Why or why not? Standard Deviation 3.2 5.6 4.1 7.6 Your group built a catapult and launched tennis balls 20 times, trying to keep all the conditions the same for each launch. The mean distance traveled was 23.5 m, with a standard deviation of 4.7 m. Would you be surprised if the next launch was 35 m? Justify your answer using the standard deviation to support your answer. 5. Members of the school mathematics club sold packages of hot chocolate mix to raise funds for their club activities. The number of packages sold by individual member are given at the right. (You may use a yellow calculator on this problem). 65 147 158 69 62 76 82 77 88 68 a. Find the median and the interquartile range for this data set. b. Find the mean and the standard deviation. c. Draw a box and whisker plot for this data. Be sure to label any outliers. d. If you were to remove the outliers from the data set which do you think will be more affected: e. i. The mean or the median? Justify your answer. ii. The Standard deviation or the IQR? Justify your answer. 100 94 62 80 71 67 92 85 63 73 44 79 71 75 74 Remove the outliers and recalculate your data from parts a and b. See if what you said in part d is true or not. Review – Box and Whisker plots The box-and-whisker plot below shows the distribution of tests scores in Mrs. Uebelhoer’s Algebra 2 class. 6. Determine the median of the box-and-whisker plot. 7. What percentage of students scored between 90 and 100? 8. What percentage of students scored between 70 and 90? Joe interviewed the cross country team at his high school to find out how many miles per week they run. The following list is the data Joe collected. 15, 25, 33, 47, 52, 35, 8, 55, 42, 29, 45, 54, 41, 37, 48, 56, 45, 40 9. Determine the 5-number summary of this data. 10. Make a box-and-whisker plot for the data set. 11. How many miles do the bottom 75% of runners run per week? 12. Use the 1.5 IQR rule to determine if there are outliers. Make sure you know what numbers represent the fences too! 13. If there are outliers in Jim’s Data: a. How would the center (mean, median, mode), spread (IQR, standard deviation), and shape (symmetry), change if there were not outliers? If there are not outliers in Jim’s Data: b. How would the center (mean, median, mode), spread (IQR, standard deviation), and shape (symmetry), change if there were outliers? The parallel box-and-whisker plot below shows average monthly rainfall for Miami and New Orleans. 14. a. Which city shows a greater range in average monthly rainfall? b. Explain how the parallel box-and-whisker plot makes it easy to compare the ranges. 15. In Miami, what percentage of rainfall was between 60 and 216 millimeters? 16. In New Orleans, what percentage of rainfall was between 61 and 130 millimeters? 17. For each of the box and whisker plots below tell if they are symmetrical, skewed left or skewed right. I have included a description of the different kinds of skewedness for you. If the distribution is normal, there are few exceptionally large or small values. The mean will be about the same as the median, and the box plot will look symmetric. If the distribution is skewed to the right most values are 'small', but there are a few exceptionally large ones. Those exceptional values will impact the mean and pull it to the right, so that the mean will be greater than the median. The box plot will look as if the box was shifted to the left so that the right tail will be longer, and the median will be closer to the left line of the box in the box plot. If the distribution is skewed to the left, most values are 'large', but there are a few exceptionally small ones. Those exceptional values will impact the mean and pull it to the left, so that the mean will be less than the median. The box plot will look as if the box was shifted to the right so that the left tail will be longer, and the median will be closer to the right line of the box in the box plot. As a quick way to remember skewedness: longer tail on the left means skewed to the left means mean on the left of median (smaller) longer tail on the right means skewed to the right means mean on the right of median (larger) tails equally long means normal means mean about equal to median 18. For each of the box and whisker plots below tell if they are symmetrical, skewed left or skewed right. 19. The box-and-whisker plot shows the number of hours students in Holly’s class spent volunteering last summer. Which of the following would be the most accurate measures of central tendency for the data? Volunteer Hours 44 46 48 50 52 54 56 58 60 62 64 66 68 a. the mean or mode c. the mode or range b. the mean or median d. the median or range Mrs. Hagan measured the height, in inches, of all the girls in her PE class. She recorded her results in the following list. 63, 60, 67, 62, 58, 63, 68, 59, 62, 65, 56, 63, 59, 62, 58 20. Determine the 5-number summary and make a box-and-whisker plot for the data set. 21. Between what heights are the middle 50% of the girls in Mrs. Hagan’s PE class? 22. Use the 1.5 IQR rule to determine if there are outliers. Make sure you know what numbers represent the fences too! 23. If there are outliers: a. How would the center (mean, median, mode), spread (range, standard deviation), and shape (symmetry), change if there were not outliers? If there are not outliers: b. How would the center (mean, median, mode), spread (range, standard deviation), and shape (symmetry), change if there were outliers?