Exam 2 Study Guide
Exam 2 Study Guide Psy 202
Popular in Elementary Statistics
Popular in Psychology (PSYC)
This 3 page Study Guide was uploaded by T'Keyah Jones on Tuesday October 18, 2016. The Study Guide belongs to Psy 202 at University of Mississippi taught by Dr. Melinda Redding in Fall 2016. Since its upload, it has received 44 views. For similar materials see Elementary Statistics in Psychology (PSYC) at University of Mississippi.
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Date Created: 10/18/16
Content: Chapter 5: Sampling and Confidence Intervals Chapter 6: Introduction to Hypothesis Testing Chapter 7: Single-Sample t Test Chapter 8: Independent-Sample t Test Chapter 9: Paired-Sample t Test a) Symbols M M Grand mean Standard deviation of population True population mean N Total number of population Alpha level M SM Standard error of the means Estimated standard error of means H0 df Null hypothesis Degrees of freedom H1 S Alternative hypothesis Standard deviation of population M μ Sample mean Population mean SM1-M2 Standard error of the difference between means 2 S p Pooled variance M1 M 2 Mean of 1 sample Mean of 2ndsample n1 Number of participants in 1 sample n2 Number of participants in sample D M D Difference scores Mean of difference scores CV Critical value for t Test b) Outlines Hypotheses are always stated in terms of the population Keep paired scores matched with their partner in Paired-Sample t Test You are always testing the null hypothesis If your t observe equals your critical value, reject the null Know APA format Know Cohen’s d and Coefficient of determination scales c) Side Notes Statistics Parameter Values that describe the sample Value that describes the population Inferential statistics Making inferences about large groups on the basis of data collected on a smaller group Descriptive statistics Procedures for organizing, summarizing and describing data z - Test When the population and the standard deviation are known t- Test When the population is known, but the standard deviation is unknown Nominal Ordinal Categories Ranks Interval Ranks z and t Tests are used z and t Tests are used Type I error Type II error When the null is rejected When the null is not rejected Power The correct rejection of the null One-tailed test Two-tailed test Directional term given No directional term given Effect size Only used when the null is rejected The amount of difference in a standardized manner Single - Sample z Test Assumptions 1. Random sample 2. Independent observation 3. Normal distribution Single - Sample t Test Assumptions 1. Random sample 2. Independent observation 3. Normal distribution Independent - Sample t Test Assumptions 1. Random sample 2. Independent observation 3. Normal distribution 4. Homogeneity of variance Paired-Sample t Test Assumptions 1. Random sample 2. Independent observation 3. Normal distribution 4. Scores are correlated
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