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SEMO - PY - 102
PY102-02Research Participation Credit Journal Article SummaryThe Article entitled: Online "Predators" and Their Victims: Myths, Realities, and Implications for Prevention and Treatment was published in the February-March 2008 volume of American P
SUNY Plattsburgh - SOC - 395
Blaming the Victims Kaitlin Walaska Soc 395: Jr. Seminar on Globalization & Gender Paper #2 04/01/082Economic GlobalizationIn 2005 a terrible hurricane hit New Orleans and devastated the area leaving many people homeless and others stranded to
SEMO - PY - 102
Doob and Gross Field Study AssignmentPY 102-21. What kind of car would you use to represent high status today? I would use a new, shiny BMW Z4 M Roadster to represent high status.2. What kind of car would you use to represent low status today?
North Dakota - NUTR - 240
Calculating Calorie Content of Foods Using the nutrient content for foods found in Appendix A of your text, calculate the calorie content of each of the following foods. 1. 2. 3. 4. 5. 1 cup potato salad 2 strips of bacon 1 McDonalds Big Mac 1 C. pe
North Dakota - PSYC - 241
April 2 Outline I. Power and the normal deviate test A. Power increases 1. as N increases 2. as the size of the real effect increases 3. as alpha increases 4. when we use a 1 tail (rather than a 2 tail) test B. You won't need to compute it (pp. 287
North Dakota - PSYC - 241
April 4 Outline I. Continuation of single sample t example A. Sampling distribution of t B. Use of Table D C. Reporting t test results II. Computing single sample t with original scoresX obttobt =SS N (N 1)III. Single sample t on SPSS IV. Usin
North Dakota - PSYC - 241
April 7 Outline I. Single sample t on SPSS II. Using t to compute confidence intervals A. Confidence intervals and confidence limits B.The 95% confidence interval for C. Example D. Confidence limits in generallowerupperX obtX obts X t crits X
North Dakota - PSYC - 241
April 11 Outline I. Overview of Chapter 14 A. Diagnosing the research design 1. Repeated measures design 2. Independent groups design B. The questions addressedChapter Statistic Design 12 z Single sample 13 t Single sample Repeated measures Populati
North Dakota - PSYC - 241
January 23 Outline I. Graphing on SPSS II. Intro. to Chapter 4-Central Tendency and Variability III. Arithmetic mean A. EquationX X NX NB. Properties 1. Sum of deviations equals 0 2. Sensitive to exact value of all scores 3. Sensitive to extreme
North Dakota - PSYC - 241
January 16 Outline I. Frequency distribution of grouped scores A. Used when the range is large B. Steps 1. Find range 2. Determine interval width (i) 3. List intervals 4. Tally frequencies C. Loss of information II. Computing percentiles A. Prelimina
North Dakota - PSYC - 241
January 14 Outline I. Measurement scales and statistics use II. Limits of measurement A. Discrete variable B. Continuous variable III. Significant figures and rounding IV. Chapter 3: frequency distributions V. Frequency distribution of grouped scores
North Dakota - PSYC - 241
February 29 Outline I. The logic of hypothesis testing A. Hypotheses 1. Alternative hypothesis (H1) 2. Null hypothesis (H0) B. Testing the null hypothesis 1. Compute chance probability from sample results 2. Compare with alpha level 3. Decision a. Re
North Dakota - PSYC - 241
February 25 Outline I. The binomial expansion (P + Q)N A. Letters: kinds of events B. Exponents: how many of each kind C. Coefficients: number of ways of getting the outcome II. Using the binomial distribution A. Table B 1. N (trials) 2. Number of P
North Dakota - PSYC - 241
February 22 Outline I. Probability and the normal curve (cont.) A. Addition rule B. Multiplication rule II. Chapter 9: The binomial distribution A. Outcome of tossing 2 or 3 coins B. The binomial expansion (P + Q)N 1. Letters: kinds of events 2. Expo
North Dakota - PSYC - 241
February 20 Outline I. Probability A. a priori p(A) =Number of events classifiable as A Total number of possible eventsII. Using a priori probability A. Addition rule with mutually exclusive events B. Multiplication rule with independent events (o
North Dakota - PSYC - 241
February 15 Outline I. A word about multiple regression II. Introduction to inferential statistics A. Hypothesis testing B. Parameter estimation C. Importance of random sampling and probability III. Random sampling A. Why should the sample be random?
North Dakota - PSYC - 241
February 11 Outline I. Continuation of regression problem II. Regression on SPSS III. Omit prediction of X from Y (pp. 143146) IV. Errors in prediction A. Assumption of homoscedasticity B. Standard error of estimateSSY sY | X XY X SS X N 2 Y /N2V
North Dakota - PSYC - 241
February 4 Outline I. Scatterplot on SPSS II. Pearson r A. Qualities 1. Gives direction of relationship 2. Gives size of relationship 3. Independent of score units 4. Independent of number of scores B. Calculationr z X zY N 1XY r X2X N X2Y Y
North Dakota - PSYC - 241
February 6 Outline I. Pearson r on SPSS II. Pearson r and explained variability A. Coefficient of determination III. Other correlation coefficients A. Depends on linearity and scaling B. Spearman rank order correlation (rho)rs 1 6 N3 Di2 NIV. Spea
North Dakota - PSYC - 241
April 14 Outline I. t for independent groups A. Independent groups design B. Sampling distribution of the difference between means C. Equationt obt (X 1 X 2)X1 X 2SS1 SS 2 n1 n 2 21 n11 n2D. Example E. SPSS (different ways of defining group
North Dakota - PSYC - 241
April 16 Outline I. Independent groups t on SPSS II. Effect size A. Omega squaredIII. Confidence interval forlower upper12(X 1 (X 1X 2)sX1X 2 crit X 2 crittX 2 ) sX1tA. Test null hypothesis and estimate real effect IV. Assump
North Dakota - PSYC - 241
February 8 Outline I. Effect of limited range on the correlation II. Chapter 7: Overview of linear regression III. Prediction A. Graphically B. With an equation: Y = mX + b C. With an imperfect relationship-the least squares regression line:Y' bY X
North Dakota - PSYC - 241
January 25 Outline I. Median (continued) A. Properties 1. Less sensitive than mean to extreme scores 2. More subject than mean to sampling variation II. Mode A. "Computation" B. Properties 1. Not sensitive to extreme scores 2. Most subject to samplin
North Dakota - PSYC - 241
January 28 Outline I. Central tendency and variability on SPSS II. Chapter 5: Standard scores and normal curve A. Standard score (z score) z=X (population)XX z = s (sample)B. Properties of z scores 1. z distribution is the same as the raw sc
North Dakota - PSYC - 241
January 30 Outline I. Use of Table A A. Steps-1. Draw a diagram 2. Use z equation, solve for z 3. Use Table A, find area III. Calculating a value, given information about area B. Steps-1. Draw a diagram 2. Use Table A, find appropriate z value 3. Use
North Dakota - PSYC - 241
March 26 Outline I. Overview of Chapter 12: Sampling distributions and the normal deviate (z) test II. Sampling distributions A. Use of sampling distributions in hypothesis testing 1. Calculate the statistic (e.g., number of pluses) 2. Evaluate the s
North Dakota - PSYC - 241
March 17 Outline I. Review of statistical power II. Calculating power with the sign test A. Assume H0 is true (Pnull = .50). Determine outcomes that allow H0 to be rejected B. For assumed Preal value, determine probability of these outcomes (from Ste
North Dakota - PSYC - 241
March 10 Outline I. Review of hypothesis testing logic A. State the alternative (H1) and null (H0) hypotheses B. Test the null hypothesis 1. Compute the probability that the outcome in the sample is due to chance 2. Compare that probability with 3. M
North Dakota - PSYC - 241
March 14 Outline I. Directional hypotheses (continued) A. When to use B. Illustration C. "One tail" vs. "Two tail" II. Statistical "significance" III. Chapter 11: Statistical power A. Real effect B. Use of power IV. Calculating power with the sign te
North Dakota - PSYC - 241
March 12 Outline I. Review of Type I and Type II error II. Considerations in setting alpha III. Sign test on SPSS IV. Directional hypotheses A. Implications 1. For H0 2. For determining chance probability 3. For decisions about H0 B. When to use C. I
North Dakota - PSYC - 241
March 28 Outline I. Review of sampling distribution of the mean II. Normal deviate (z) test examplez obt X obt XXIII. Use of critical region and critical value in making decisions about H0 A. Another exampleSampling distribution of the mean
North Dakota - PSYC - 241
March 31 Outline I. Use of critical region and critical value in making decisions about H0 A. Another example II. Power and the normal deviate test A. Power increases 1. as N increases 2. as the size of the real effect increases 3. as alpha increases
SUNY Plattsburgh - SOC - 395
1Getting to know globalization Kaitlin Walaska Soc 395B: Jr. Seminar on Globalization and gender Paper #1 2/21/082Globalization and Gender I believe that globalization is the word we use to describe how different cultures relate with each other
Wisconsin Milwaukee - ANATOMY AN - 401
Department of Biological SciencesBIOSCI 202 - Anatomy and Physiology 1Spring 2008In-class assignment1) Using the materials in your text book, identify the bodily regions indicated by the lines from the margin to the figures in the illustrations.
Wisconsin Milwaukee - ANATOMY AN - 401
Question #1: Which of the following properties of water are associated with the polarity of the molecule (check all that apply)? The answer I put was chemical reactivity, cohesion, and thermal stability. The correct answer should be chemical reactivi
Wisconsin Milwaukee - ANATOMY AN - 401
Question # 4: Match the arrows in this illustration to the features that they describe.A is the transverse arch. B is the lateral longitudinal arch, and C is the medial longitudinal arch. I had this answer in the first place but it wouldn't save wh
Elon - GST - 110
11/26/07 Homework 1. Based on your reading in Chapter 5, what are the key "leadership questions" concerning the United Nations? The most obvious leadership question facing the United Nations today is who is leading the United Nations? The answer is c
Elon - GST - 110
10/29/07 Homework 1. Development is defined at the beginning of the chapter as "an However,economic process that enables an increasing number of people to produce enough wealth to support an acceptable quality of life". incorporate basic human need
Elon - GST - 110
10/8/07 Homework The neo-Liberalism vision of the "good life" is essentially a combination of hard work, a devoted family, and success. available to anyone who is a devoted worker. individualism, prosperity, and freedom. "invisible hand of the market
Elon - GST - 110
10/24/07 Homework 1. Yes; Stasz did do a good job making a case for better farm policy; Stasz really emphasized justshe took a new angle in presenting much of the information the Environmental Defense website provided. farmers, and the environment.
Virginia Tech - ESM - 2204
Winona - CHEM - 213
Name_ Dr. Miertschin CHEM-213 SAMPLE Test #3 Choose the best answer. Then, carefully transfer your answer to your Scantron sheet. (3 pts. each) 1. All of the following are true for alkanes except for which one? (A) The geometry at each carbon atom is
Elon - GST - 110
10/3/07 HW 1. While Lubling essentially re-outlined his article, in his speech LublingLubling did add additional emphasis in human experience.remarks very clearly that humans can never actually find "reality". Any supposed "reality" that humans d
McGill - MGCR - 341
1McGill UniversityFaculty of Management Finance I (280-341)Mid-Term Examination - Part IIFall 2001 Instructor: Date: Dr. Wajeeh Elali Tuesday, October 30, 2001 Student Name: Student ID:Version A*Suggested Solutions*INSTRUCTIONS: This is a