BNAD 276 Lecture Notes - Lecture 7: Confidence Interval, Analysis Of Variance, Dependent And Independent Variables

• School: University of Arizona
• Department: Business Administration
• Course: BNAD 276
• Professor: Suzanne Delaney

Document Summary

Point estimate vs confidence interval: guessing a single number vs a range of numbers. Study type 2: t-test: looking to compare two means (two bars on graph), single independent variable + two groups/levels. Study type 3: one-way analysis of variance (anova: comparing more than two means, single independent variable + more than two groups/levels. Study type 4: two-way analysis of variance (anova: comparing two independent variables, each one has multiple levels, multiple independent variables + each variable comparing two or more groups. Study type 5: correlation: correlation plots relationship between two variables, pretty much all correlations are quasi, neutral relative to causality - but especially useful for predictions, graphing correlations using scatterplots. Study type 7: chi square: chi-squared is used to evaluate whether the differences found in your sample match what you would expect to find. It is used with nominal or ordinal data when we simply count how many participants fall into each category.