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WARM – UP Eye Color Blue Brown Hazel 3 or below 14.0% 61.0% 25.0% 4+ 13.5% 60.8% 25.7% Blue Brown Hazel 3 or below 129 561 230 4+ 73 330 139 GPA 920 542 Determine if an association exists between ones eye color and ones GPA at a large school. Justify your answer by examining the conditional distribution of eye color among the two levels of GPA. Since the Distribution of eye color is relatively the same for each GPA level, eye color had little to do with your GPA. (No Association = Independent variables)
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3rd Perioid 4th Period 5th Period A 22 64.7% 20 69.0% 66.7% B 8 23.5% 5 17.2% 8 24.2% ≤ C 4 11.8% 4 13.8% 3 9.1%
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(12) students were asked their SAT Math scores:
Warm – Up 2016 (12) students were asked their SAT Math scores: 600, 650, 505, 520, 800, 480, 740, 540, 630, 590, 400, 550 Construct And Describe the Histogram : HI! I’m SKEWED. …RIGHT? FREQUENCY S.A.T. MATH SCORES
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Hey! I’m Approximately SYMMETRIC. HI! I’m SKEWED to the LEFT
Warm – Up COMPARE these two distributions: Hey! I’m Approximately SYMMETRIC. HI! I’m SKEWED to the LEFT FREQUENCY FREQUENCY S.A.T. MATH SCORES S.A.T. VERBAL SCORES SAT Math scores have a higher center than Verbal scores. They both have equal spread. MATH VERBAL Center: 700 > 600 Unusualness Nothing Nothing Spread: = 480
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Independence vs. Association Categorical Variables
Ch.3 (continued) Independence vs. Association of Categorical Variables If two variables are independent then one would expect to see relatively the same distribution on the first variable among all levels of the second variable.
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Gender did NOT matter = Independence = No Association!
Ex.) Does Gender have any influence on Color preference? 160 people were asked to choice a color among Blue, Green, and Red. The results are shown below: Blue Green Red Male 60 24 36 Female 20 8 12 120 40 80 32 48 160 Blue Green Red All 160 50% 20% 30% Blue Green Red Male 50% 20% 30% Blue Green Red Female 50% 20% 30% Gender did NOT matter = Independence = No Association!
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EXAMPLE: Which gender favors Red more Males or Females?
84 13 Blue 616 87 12% % Grades K - 5 Grades Male Female Red 65 1 Blue 500 12 Male Female Red 19 12 Blue 116 75 11.5% 7.7% 14.1% %
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SIMPSON’S PARADOX 3% 2% 1% 1.3% 3.8% 4%
Simpson’s Paradox refers to a reversal of the direction of a comparison or an association when data from several groups are combined to form a single group. (and vise versa) EXAMPLE: Hospital A Hospital B Died Survived Given the patients were at a particular hospital, what % died? 3% % Good Condition Poor Condition Hospital A Hospital B Died Survived Hospital A Hospital B Died Survived 1% % 3.8% 4%
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Simpson’s Paradox HW: Page 40: 26,27,31,34,38 28/500 = 5.6% 30/500 =6%
3% 16% 2% 7% 28/500 = 5.6% 30/500 =6% Simpson’s Paradox
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Ex.2 A concerned parent wants to send his child to a school with a great TAKS passing rate so that his child will succeed. What school should the parent consider? Jamestown HS Springfield HS Passed Failed Given the particular High schools, what % Passed TAKS? 90% % What are some ways that you can divide up the population? Regular Students AP Students Jamestown Springfield Passed Failed Jamestown Springfield Passed Failed 88% % 85% 86%
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