PSY 250 Chapter Notes - Chapter 7: Statistical Hypothesis Testing, Confidence Interval, Null Hypothesis
1 May 2017
School
Department
Course
Professor
Document Summary
Chapter 7: summarizing and interpreting data using statistics. How can we summarize a set of data to better understand it. Sampling error: sample population every score in the data set (measures to summarize data sets) Descriptive data: techniques for summarizing raw data without reviewing. Inferential statistics: techniques that use descriptive statistics to test hypotheses about the population. Distribution: descriptive statistics that summarize the set of data. 3 categories of descriptive statistics: central tendency, variability, graphs or tables of the central tendency and variability. How do the measures of central tendency of a distribution differ? (mean, median, mode) Indicates a typical score in the distribution. 3 basic measures: mean, affected by extreme scores - outliers, median. Include outliers: example: salaries at a company and reaction time, mode: most common, when distributions includes frequencies of responses. Indicates how much the scores in the distribution differ from each other.
