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Lecturer’s desk

Screen. Cabinet. Cabinet. Lecturer’s desk. Table. Computer Storage Cabinet. Row A. 3. 4. 5. 19. 6. 18. 7. 17. 16. 8. 15. 9. 10. 11. 14. 13. 12. Row B. 1. 2. 3. 4. 23. 5. 6. 22. 21. 7. 20. 8. 9. 10. 19. 11. 18. 16. 15. 13. 12. 17. 14. Row C. 1. 2.

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Lecturer’s desk

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  1. Screen Cabinet Cabinet Lecturer’s desk Table Computer Storage Cabinet Row A 3 4 5 19 6 18 7 17 16 8 15 9 10 11 14 13 12 Row B 1 2 3 4 23 5 6 22 21 7 20 8 9 10 19 11 18 16 15 13 12 17 14 Row C 1 2 3 24 4 23 5 6 22 21 7 20 8 9 10 19 11 18 16 15 13 12 17 14 Row D 1 2 25 3 24 4 23 5 6 22 21 7 20 8 9 10 19 11 18 16 15 13 12 17 14 Row E 1 26 2 25 3 24 4 23 5 6 22 21 7 20 8 9 10 19 11 18 16 15 13 12 17 14 Row F 27 1 26 2 25 3 24 4 23 5 6 22 21 7 20 8 9 10 19 11 18 16 15 13 12 17 14 28 Row G 27 1 26 2 25 3 24 4 23 5 6 22 21 7 20 8 9 29 10 19 11 18 16 15 13 12 17 14 28 Row H 27 1 26 2 25 3 24 4 23 5 6 22 21 7 20 8 9 10 19 11 18 16 15 13 12 17 14 Row I 1 26 2 25 3 24 4 23 5 6 22 21 7 20 8 9 10 19 11 18 16 15 13 12 17 14 1 Row J 26 2 25 3 24 4 23 5 6 22 21 7 20 8 9 10 19 11 18 16 15 13 12 17 14 28 27 1 Row K 26 2 25 3 24 4 23 5 6 22 21 7 20 8 9 10 19 11 18 16 15 13 12 17 14 Row L 20 1 19 2 18 3 17 4 16 5 15 6 7 14 13 INTEGRATED LEARNING CENTER ILC 120 9 8 10 12 11 broken desk

  2. Introduction to Statistics for the Social SciencesSBS200, COMM200, GEOG200, PA200, POL200, or SOC200Lecture Section 001, Spring, 2013Room 120 Integrated Learning Center (ILC)10:00 - 10:50 Mondays, Wednesdays & Fridays. Welcome

  3. Please click in My last name starts with a letter somewhere between A. A – D B. E – L C. M – R D. S – Z

  4. Schedule of readings Before next exam (April 5th) Please read chapters 7 – 11 in Ha & Ha Please read Chapters 2, 3, and 4 in Plous Chapter 2: Cognitive Dissonance Chapter 3: Memory and Hindsight Bias Chapter 4: Context Dependence

  5. Homework due – Monday (April 1st) • On class website: Homework #19 • Write 3 multiple choice questions based on any lecture since last exam (March 1). Bring two copies to class. • Each multiple choice question must contain: • a person’s name • only one correct answer • and 3 incorrect options , for a total of 4 options for each question

  6. Use this as your study guide By the end of lecture today3/29/13 Logic of hypothesis testing Steps for hypothesis testing with t-tests Hypothesis testing with ANOVA (Analysis of Variance) Interpreting excel output of hypothesis tests Constructing brief, complete summary statements

  7. Lab sessions Labs continue This week

  8. Homework review

  9. . Homework

  10. . Homework

  11. . Homework Type of instruction Exam score 50 40 2-tail 0.05 CAUTION This is significant with alpha of 0.05 BUT NOT WITH alpha of 0.01 2.66 2.02 38 p = 0.0113 yes The average exam score for those with instruction was 50, while the average exam score for those with no instruction was 40. A t-test was conducted and found that instruction significantly improved exam scores, t(38) = 2.66; p < 0.05

  12. . Homework Type of Staff Travel Expenses 142.5 130.29 2-tail 0.05 1.53679 2.2 11 p = 0.153 no The average expenses for sales staff is 142.5, while the average expenses for the audit staff was 130.29. A t-test was conducted and no significant difference was found, t(11) = 1.54; n.s.

  13. . Homework Location of lot Number of cars 86.24 92.04 2-tail 0.05 -0.88 2.01 51 p = 0.38 no Fun fact: If the observed t is less than one it will never be significant The average number of cars in the Ocean Drive Lot was 86.24, while the average number of cars in Rio Rancho Lot was 92.04. A t-test was conducted and no significant difference between the number of cars parked in these two lots, t(51) = -.88; n.s.

  14. . Please hand in your homework – they must be stapled

  15. A survey was conducted to see whether men or women • superintendents make more money • The independent variable is ________________ • The dependent variable is _________________ • 3. Who made more money men or women? • 4. Identify the two means and the observed t score • 5. Identify the p value and state whether it is less than .05

  16. A survey was conducted to see whether men or women superintendents make more money Are both p values less than 0.05? 1.37834 E-05 Equals .00001378 4 zeros 6.8917 E-06 Equals .0000068917 5 zeros

  17. A survey was conducted to see whether men or women superintendents make more money A note on scientific notation: “E-05” means move the decimal to the left 5 places E-06” means move the decimal to the left 6 places 1.37834 E-05 Equals .00001378 4 zeros 6.8917 E-06 Equals .0000068917 5 zeros

  18. A survey was conducted to see whether men or women superintendents make more money. The independent variable is a. nominal level of measurement b. ordinal level of measurement c. interval level of measurement d. ratio level of measurement

  19. A survey was conducted to see whether men or women superintendents make more money. The dependent variable is a. nominal level of measurement b. ordinal level of measurement c. interval level of measurement d. ratio level of measurement

  20. A survey was conducted to see whether men or women superintendents make more money. The independent variable is a. continuous and qualitative b. continuous and quantitative c. discrete and qualitative d. discrete and quantitative

  21. A survey was conducted to see whether men or women superintendents make more money. The dependent variable is a. continuous and qualitative b. continuous and quantitative c. discrete and qualitative d. discrete and quantitative

  22. A survey was conducted to see whether men or women superintendents make more money. This is a a. quasi, between subject design b. quasi, within subject design c. true, between subject design d. true, within subject design

  23. A survey was conducted to see whether men or women superintendents make more money. This is a a. one-tailed test b. two-tailed test c. three-tailed test d. not enough information

  24. A survey was conducted to see whether men or women superintendents make more money. The null hypothesis is a. men make more money b. women make more money c. no difference between amount of money made d. there is a difference between the amount of money made

  25. A survey was conducted to see whether men or women • superintendents make more money. If the null hypothesis was rejected we will conclude that • a. men make more money • b. women make more money • no difference between amount of money made • d. there is a difference between the amount of money made

  26. A survey was conducted to see whether men or women • superintendents make more money. A Type I error would be • a. claiming men make more money, when they don’t • b. claiming women make more money, when they don’t • claiming no difference between amount of money made, when there is a difference • d. claiming there is a difference between the amount of money made, when there is no difference

  27. A survey was conducted to see whether men or women • superintendents make more money. A Type II error would be • a. claiming men make more money, when they don’t • b. claiming women make more money, when they don’t • claiming no difference between amount of money made, when there is a difference • d. claiming there is a difference between the amount of money made, when there is no difference

  28. A t-test was conducted, there were ___ men in the study and ___ women. a. 18; 21 b. 21; 18 c. 19; 19 d. 38; 38 Let’s try one

  29. A t-test was conducted, the observed t was _____ a. 2.02 b. 1.68 c. 5.01 d. 1.37 Let’s try one

  30. A t-test was conducted, the critical t was _____ a. 2.02 b. 1.68 c. 5.01 d. 1.37 Let’s try one

  31. A t-test was conducted, which of the following best describes the results: a. t(21) = 2.02; p < 0.05 b. t(21) = 2.02; n.s. c. t(37) = 5.0; p < 0.05 d. t(37) = 5.0; n.s Let’s try one

  32. A t-test was conducted, with a two tail test was there a significant difference? a. No, because 5.0 is not bigger than 6.89 b. Yes, because 5.0 is bigger than 1.68. c. Yes, because 5.0 is bigger than 1.37 d. Yes, because 5.0 is bigger than 2.02 Let’s try one

  33. Which is true a. p < 0.05 b. p < 0.01 c. p < 0.001 d. All of the above Let’s try one

  34. A survey was conducted to see whether women superintendents make more money than men. This is a a. one-tailed test b. two-tailed test c. three-tailed test d. not enough information Note the change in the problem

  35. A survey was conducted to see whether women superintendents make more money than men. A t-test was conducted, which of the following best describes the results:Note the results were in the unpredicted direction a. reject the null b. do not reject the null c. not enough information Let’s try one

  36. A survey was conducted to see whether women superintendents make more money than men. A t-test was conducted, which of the following best describes the results: Note the results were in the unpredicted direction a. t(21) = 2.02; p < 0.05 b. t(21) = 2.02; n.s. c. t(37) = 5.0; p < 0.05 d. t(37) = 5.0; n.s Let’s try one

  37. Thank you! See you next time!!

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