POLS 2400 Chapter Notes - Chapter 10: Chi-Squared Distribution, Statistical Significance, Null Hypothesis

• School: Northeastern University
• Department: Political Science
• Course: POLS 2400
• Professor: Maness

Document Summary

Aided by t ratio, analysis of variance, or non parametric tests such as chi square. Want to see if there was a significant difference. Correlation shows the strength of this difference. Very few relationships have a perfect correlation. Indicates that respondents getting high scores on the x variable also tend to get high scores on the y variable. High scores on x variable tend to obtain low scores on the y variable. A negative or positive correlation represents a type of straight-line relationship. An imaginary straight line through the center of the point in the graph. One variable increases as the other variable increase until the relationship reverses itself so that one variable finally decreases while the other increases. Turns into a u shape instead of straight line. Numerically express both strength and direction of straight line correlation. Closer to one in either directions means stronger correlation.