PS101 Lecture Notes - Lecture 3: Statistical Inference, Descriptive Statistics, Dependent And Independent Variables
Document Summary
Analyzing data descriptive statistics => summarize actual study data, determine correlations inferential statistics => extend conclusions to larger population, determine the hypothesis has been supported or if there is a meaningful difference between the groups. Used to give basic information about what we find. Uses statistics: the mean, median, mode (measures of central tendency) answer the question: where do most of the scores lie? the standard deviation, the range (measures of variability) Variability gives how much variability a score has from the mean. *little variability -all bunched up close to the mean. Involves measuring and determining the relation between two variable. Positive: as one variable goes up, the other does too (i. e studying and grades) Negative: increase in one variable and a decrease in another strength of a correlation. Number: higher the number the stronger the correlation. Because you can have access to two pieces of information but may not be able to manipulate the variables.
