PSYCHOLOGYS HISTORY APPROACHES
SCIENTIFIC FOUNDATIONS OF PSYCHOLOGY
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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difference between the highest and lowest scoresin a distribution.
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average squared deviation of scores from asample mean.
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direction and strength of the relationshipbetween two variables.
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statistical significance of a difference betweentwo sample means.
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Detailed explanation-1: -Correlation coefficients are used to assess the strength of associations between data variables. The most common, called a Pearson correlation coefficient, measures the strength and the direction of a linear relationship between two variables.
Detailed explanation-2: -Definition of Correlation: Correlation is a statistical technique that is used to measure and describe the STRENGTH and DIRECTION of the relationship between two variables. Correlation requires two scores from the SAME individuals. These scores are normally identified as X and Y.
Detailed explanation-3: -A scatterplot displays the strength, direction, and form of the relationship between two quantitative variables. A correlation coefficient measures the strength of that relationship. Calculating a Pearson correlation coefficient requires the assumption that the relationship between the two variables is linear.
Detailed explanation-4: -A correlation coefficient is a number between-1 and 1 that tells you the strength and direction of a relationship between variables. In other words, it reflects how similar the measurements of two or more variables are across a dataset.
Detailed explanation-5: -Correlation coefficients are used to measure the strength of the linear relationship between two variables.