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SOCC31H3 (6)
Chapter 10

SOCB06 chapter 10.docx

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Shirin Montazer

SOCB06 chapter 10: Correlation: age, intelligence and education attainment vary from one person to another and therefore referred to as variables. Many relationships are statistically significant- stronger than you would expect to obtain just as a result of sampling error alone. Correlations vary with respect to their strength, we visualize differences in strengths of correlations by means of a scatter plot or scatter diagram, a graph that shows the way of scores on any two variables, X and Y, are scatter throughout the range of possible score values. Scatter plot: set up as the X is arranged horizontally, Y is measured across the vertical line. - Directions of Correlation: It can be either positive or negative in terms of direction. Positive correlation: respondents getting high scores on the X variables also tend to get high scores on the Y variable. Negative correlation: respondents have high scores on the X variable and low scores on the Y variable. Such an example is education and prejudice. - Curvilinear Correlation: One variable can increase while the other increase, until the other reverses itself so that one variable can increase while the other decrease. Correlation Coefficient: expresses both strengths and weakness and direction of straight-line correlation. You have -1.00 and +1.00. -1.00, -.
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