P value for correlation coefficient

    • [DOC File]Correlation Analysis

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      value of a correlation coefficient? Why is it important to know the amount of shared variance when interpreting both the significance and the meaningfulness of a correlation coefficient? If a researcher wanted to predict how well a student might do in college, what variables do …

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    • [DOCX File]Additional Material

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      (Assume data are linear.) (H) A correlation coefficient of -0.25 indicates a _____ _____ correlation. (I) Why not calculate r when data are not linear? (J) Does the population need to be bivariate normal to describe correlation with r? (K) List the null and alternative hypotheses for the p value when testing r.

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    • Use and Misuse of Asterisks in Hypothesis Testing

      Pearson correlation r of log t90 and FITS1 = 0.975. P-Value = 0.000. If you look back to page 19, bottom, you will see that the correlation between log t90 and log t50 is also .975. That is, the correlation between the fitted (predicted) values and the observations y is the same as the correlation between the two variables x = log t50 and y ...

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    • [DOC File]Bivariate Correlation, SPSS

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      Matrix Showing Correlation Coefficients Appropriate for Scales of Measurement for Variable X and Variable Y. Variable X Nominal Ordinal Interval/Ratio Variable Y Nominal Phi (() C coefficient. Cramer’s V ( and ((Rank-biserial Point-biserial Ordinal Rank-biserial. Tetrachoric. Spearman (Biseral Interval/Ratio Point-biserial. Biserial rb Pearson r

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    • [DOC File]Lab Notes – Correlation, Autocorrelation

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      The correlation between two dichotomous variables is know as the phi coefficient. Use SPSS to compute that statistic for the relationship between having social problems and dropping out of school. To test the null hypothesis that phi is zero in the population, we need …

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    • [DOC File]Kennesaw State University

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      A correlation coefficient would not be significant unless its p value is less than the corrected significance level. It is largely debated as to when this correction would be needed and most statistics texts (ours included) do not address the issue, so no “rule of thumb” will be offered here.

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    • [DOC File]UNDERSTANDING THE PEARSON CORRELATION …

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      3. Pearson Product Moment Correlation Coefficient, aka, Pearson r. A numeric measure of strength and direction of linear relationship between paired score values. Probably the most useful statistic you can compute. r is a standardized quantity. Its value is always between -1 …

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    • Correlation coefficient - MedCalc

      To determine whether a correlation is statistically significant (p < 0.05), go down the column until you reach the row with the correct number of paired observations (N). If the absolute value of your correlation coefficient is greater than the number listed, the correlation …

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    • [DOC File]CORRELATION ANALYSIS

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      Value of the sample. correlation coefficient Significance level (risk of the first kind) ( 0.001 0.01 0.05 0.001 [0.000001] 15459465 10036025 6182557 0.005 [0.000025] 618372 401438 247302 0.01 [0 ...

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    • [DOC File]Regression Analysis: t90 versus t50

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      Since Y was generated from X with no additional random component we should expect to see a perfect fit. Does all the data fall on the regression line? Is the R squared value at 100%? Is the correlation coefficient 1.00 (rounded to two places)? Does the slope of the regression line equal 1? Is the constant value …

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