PSYC 0142. Introduction to Psychological Statistics
Units: 3
Formerly known as PSYC 42
Prerequisite: Completion of MATH D with grade of "C" or better
Hours: 54 lecture
Statistical procedures used for experimental analysis in the social and behavioral sciences. Descriptive and correlational statistics, parametric and nonparametric inference tests, and current controversies in hypothesis testing. (C-ID MATH 110) (C-ID SOCI 125) (CSU, UC-with unit limitation)
PSYC 0142 - Introduction to Psychological Statistics
http://catalog.sierracollege.edu/course-outlines/psyc-0142/
Catalog Description DESCRIPTION IS HERE: Formerly known as PSYC 42 Prerequisite: Completion of MATH D with grade of "C" or better Hours: 54 lecture Description: Statistical procedures used for experimental analysis in the social and behavioral sciences. Descriptive and correlational statistics, parametric and nonparametric inference tests, and current controversies in hypothesis testing. (C-ID MATH 110) (C-ID SOCI 125) (CSU, UC-with unit limitation) Units 3 Lecture-Discussion 54 Laboratory By Arrangement Contact Hours 54 Outside of Class Hours Course Student Learning Outcomes Justify the appropriate statistical analysis and analyze a data set. Assess the results of statistical analyses conducted in class and on exams. Construct a statement of the results of statistical analyses in accordance with APA publication guidelines. Course Content Outline 1. Summarizing data graphically and numerically 2. Descriptive statistics: measures of central tendency, variation, relative position, and levels/scales of measurement 3. Sample spaces and probability 4. Random variables and expected value 5. Sampling and sampling distributions 6. Discrete distributions – Binomial 7. Continuous distributions – Normal 8. The Central Limit Theorem 9. Estimation and confidence intervals 10. Hypothesis Testing and inference, including t-tests for one and two populations, and Chi-square test 11. Correlation and linear regression 12. Analysis of variance (ANOVA): one-way and factorial 13. Applications using data from disciplines including business, social sciences, psychology, life science, health science, and education 14. Statistical analysis using technology such as SPSS, EXCEL, Minitab, or graphing calculators Course Objectives Course Objectives 1. Distinguish among different scales of measurement and their implications. 2. Interpret data displayed in tables and graphically. 3. Apply concepts of sample space and probability. 4. Calculate measures of central tendency and variation for a given data set. 5. Identify the standard methods of obtaining data and identify advantages and disadvantages of each. 6. Calculate the mean and variance of a discrete distribution. 7. Calculate probabilities using normal and t-distributions. 8. Distinguish the difference between sample and population distributions and analyze the role played by the Central Limit Theorem. 9. Construct and interpret confidence intervals. 10. Determine and interpret levels of statistical significance including p-values. 11. Interpret the output of a technology-based statistical analysis. 12. Identify the basic concept of hypothesis testing including Type I and II errors. 13. Formulate hypothesis tests involving samples from one and two populations. 14. Select the appropriate technique for testing a hypothesis and interpret the result. 15. Use linear regression and ANOVA analysis (one-way and factorial) for estimation and inference, and interpret the associated statistics. 16. Use appropriate statistical techniques to analyze and interpret applications based on data from disciplines including business, social sciences, psychology, life science, health science, and education. Methods of Evaluation Essay Examinations Objective Examinations Problem Solving Examinations Reading Assignments 1. Read the chapter on measures of central tendency. In preparation for class, apply the concepts of mean, median, and mode to a set of data. 2. Read the chapter on z scores. Describe how to calculate them and explain why they are useful in interpreting data in preparation for class. Writing, Problem Solving or Performance 1. Imagine you have a test of anxiety for which μ = 65 and σ = 8. Someone receives a score of 75. However, you convert the distribution to one with a μ = 100 and σ = 10. What would that score on your exam be when converted for this new distribution? 2. As the principal of a private high school, you are interested in finding out how the training in mathematics at your school compares with that of the public schools in your area; you suspect that the training at your school is superior. For the last five years, the public schools have given all graduating seniors a mathematics proficiency test. The mean was μ = 78, but the standard deviation is unknown. The 41 graduating seniors at your private school this year took the test and had a mean of 83. The sum of squares was 5953.6. State the null and alternative hypotheses, calculate the value of t and the effect size, interpret your results, and write them in APA format. Other (Term projects, research papers, portfolios, etc.) Methods of Instruction Lecture/Discussion Distance Learning Other materials and-or supplies required of students that contribute to the cost of the course. Calculator required (scientific calculator not required).
Course Identification Numbering System (C-ID)
...0001 MATH 110 MATH 0013 MATH 110 PSYC 0142 MATH 120 MATH 0019 MATH 140...
Administration of Justice
http://catalog.sierracollege.edu/departments/administration-justice/
...Sociology or MATH 0013 Elementary Statistics or PSYC 0142 Introduction to Psychological Statistics Total Units...
Sociology
http://catalog.sierracollege.edu/departments/sociology/
...Introduction to Statistics in Sociology 3 or PSYC 0142 Introduction to Psychological Statistics SOC 0027...
