Table of Critical Values for pearson s r Level of Significance for a One-Tailed Test .10 .05 .025 . Level of Significance for a Two-Tailed Test df .20 .10 .05 . 2 6 11 16 21
Table of Critical Values for Pearson’s r Level of Significance for a One-Tailed Test .10 .05 .025 .01 .005 .0005 Level of Significance for a Two-Tailed Test
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1 Table of Critical Values for pearson s r Level of Significance for a One-Tailed Test .10 .05 .025 . Level of Significance for a Two-Tailed Test df .20 .10 .05 . 2 6 11 16 21
2 26 40 from Appendix 2 ( Critical Values of t) using the square root of [t2/(t2 + df)] Note: Critical Values for Infinite df actually calculated for df= 500.
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Vol 14 No 1 2 eJIFCC: www.ifcc.org/ejifcc Table 1: Adult and paediatric limits of laboratory results which, after confirmation through repeat measurement in the same ...
t Table cum. prob t.50 t.75 t.80 t.85 t.90 t.95 t.975 t.99 t.995 t.999 t.9995 one-tail 0.50 0.25 0.20 0.15 0.10 0.05 0.025 0.01 0.005 0.001 0.0005 two-tails 1.00 0.50 ...
ANALYSIS OF CONTINUOUS VARIABLES / 31 CHAPTER SIX ANALYSIS OF CONTINUOUS VARIABLES: COMPARING MEANS In the last chapter, we addressed the analysis of discrete variables. Much of the statistical analysis in medical research, however, involves the analysis of continuous variables (such as cardiac output, blood pressure, and heart rate) which can assume an infinite range of values.
CORRELATION AND REGRESSION / 47 CHAPTER EIGHT CORRELATION AND REGRESSION Correlation and regression are statistical methods that are commonly used in the medical literature to compare two or more variables. Although frequently confused, they are quite different.
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