UCLA PSYCHOLOGY 100A PSYCHOLOGICAL STATISTICS Fall 2009 Lectures Mondays and Wednesdays 2 00 3 15pm 1178 FRANZ Discussion Fridays 2 00 2 50pm 1178 FRANZ Instructor Prof Rajesh R Nandy Office Franz 6437B Phone 310 206 7257 Email nandy psych ucla edu Office Hours 3 30 5 30pm Wednesdays and by appointment Teaching Assistant Dawn Chen Office Franz 6564 Franz 6423 for Week 1 only Email sdchen ucla edu Office Hours 2 30 4 30pm Thursdays Class Web Site http courses psych ucla edu course php srs 328304201 term 09F Please refer all administrative questions and enrollment requests to the Psychology Undergraduate Advising Office 1531 Franz Hall Course Overview and Goals This course introduces the statistics commonly used in psychological research By course end you should be able to 1 Understand the basic concepts underlying descriptive and inferential statistics 2 Perform basic statistical analyses 3 Apply these concepts and procedures to the design analysis and interpretation of psychological research data Course Structure The material divides naturally into six sections 1 Describing Data 2 Statistical Inference and Estimation 3 Hypothesis Testing 4 Correlation and Linear Regression 5 Chi square and Nonparametric tests and 6 Analysis of Variance ANOVA The material builds cumulatively For example you must understand distributions to understand variability and you must understand variability to understand ANOVA Topics to be covered 1 Describing Data 2 Lectures Research Design and Data Analysis Distributions Central Tendency Variability 2 Statistical Inference and Estimation 3 Lectures Normal Distributions Probability Standard Scores Distribution of the Mean Parameter Estimation Confidence Intervals 3 Hypothesis Testing 4 Lectures z Test and One Sample t Test Power and Effect Size Two Independent Means Two Dependant Means 4 Correlation and Linear Regression 2 Lectures Linear Regression and Error in Prediction Predicting X from Y Using a Linear Regression Line Multiple Regression Correlation 5 Chi square and Nonparametric Tests 1 Lecture 6 Analysis of Variance ANOVA 5 6 Lectures One Factor Between Subjects Two Factor Between Subjects One Factor Within Subjects CALENDAR FOR PSYCH 100A subject to slight variations when needed Mon Wed Fri 9 28 Describing Data 1 Introduction and Basic Concepts Distributions Kiess Ch 1 3 9 30 Describing Data 2 Graphical techniques Distributions and Central Tendency Ch 3 4 10 7 Statistical Inference 1 Probability and Distribution Ch 6 10 14 Statistical Inference 3 Point Estimation Ch 6 Discussion Class 10 21 MIDTERM 1 EXAM 20 of total grade Bring your student ID and calculator 10 28 Hypothesis Testing 1 z Test and One Sample t Test Ch 8 11 4 Hypothesis Testing 3 Two Means Ch 9 11 11 Veteran s Day Holiday Discussion Class 10 5 Describing Data 3 Measures of variation Ch 5 10 12 Statistical Inference 2 Normal Distributions Ch 6 10 19 Statistical Inference 4 Distribution of the Mean Ch 7 10 26 Statistical Inference 5 Interval Estimation Confidence intervals Ch 7 11 2 Hypothesis Testing 2 Power and Effect Size Ch 8 11 9 Linear Regression Correlation Linear Regression Ch 13 and 14 11 16 MIDTERM 2 EXAM 20 11 18 Chi square tests and of total grade Bring your student nonparametric tests Ch 15 ID and calculator 11 23 Analysis of Variance 11 25 ANOVA Two Factor ANOVA One Two Factor Between Subjects 2 Ch 11 Between Subjects Ch 10 11 11 30 ANOVA One Factor 12 2 ANOVA One Factor WithinWithin Subjects 1 Ch 12 Subjects 2 Ch 12 FINAL EXAM Thursday Dec 10 2009 11 30am 2 30pm 50 of total grade Bring your student ID and calculator Discussion Class Discussion Class Discussion Class Discussion Class Discussion Class Discussion Class Discussion Class Discussion Class Course Requirements Study Plan I will spend at least 12 hours a week on this class I will pace and grade according to my expectations for an advanced UCLA undergraduate spending similar time The material in this course is cumulative I urge you to be diligent from the beginning of the quarter Textbook Kiess H O Statistical concepts for the behavioral statistics fourth edition Allyn and Bacon Sections in Kiess with Computational Formula in the heading can be skipped Calculator Only 5 function calculators having only plus minus multiplication division square root functions will be allowed in exams DON T bring a programmable calculator to exams If buy your calculator from the UCLA student store the Aurora HC108X the Aurora HC502A the Sharp EL 244MB and the Sentry CA270 are all acceptable If you have a question about whether your calculator is acceptable please show it to the professor or TA during their office hours Reading Each section will have learning goals and assigned reading These materials will be posted on the class web site I will prepare lectures assuming that you have read the learning goals and the assigned reading Formulas Statistics involves many formulas and derivations of formulas Do your best to read these derivations because they will help you understand the concepts and help you remember the formulas The formulas you will be required to remember for exams will be listed on the website You can skip all sections in Kiess with the words Computational Formula in the heading Homework Homework will be assigned weekly The homework will not be collected Answer keys will be provided for self grading Homework questions will be similar to exam questions Pop Quiz There will be six random pop quizzes multiple choice during lecture days either at the beginning or at the end of the lecture Only the best four will be counted towards your final score Each pop quiz will cover materials taught in the previous two lectures Evaluation Scoring Pop Quiz 10 Midterm 1 20 Midterm 2 20 Final 50 Bring your Student ID to all exams Grades Your final course grade will be based on your total score rounded to the nearest integer strictly using the following scheme 95 100 A 90 94 A 80 89 A 70 79 B 65 69 B 60 64 B 55 59 C 50 54 C 40 49 C 0 39 D Getting Help Both the professor and the teaching assistant want you to succeed at learning statistics If you have questions please ask them in class discussion come to office hours or by email Study groups One of the best ways to learn this material is to form study groups Teaching is a great way to learn a subject and study groups are students teaching each other You will find that some homework questions will be best handled if you can discuss them with your peers If you have trouble forming or