Biostatistics: Some Basic ConceptsCaduceus Medical Publishers, 1990 - 194 pages |
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Page 12
... data with which one is dealing , recall that nominal data are data which have no order and are divided into named ... set of data . This measure gives us an idea of where the center ( mid - point or , using the term in a loose way , the ...
... data with which one is dealing , recall that nominal data are data which have no order and are divided into named ... set of data . This measure gives us an idea of where the center ( mid - point or , using the term in a loose way , the ...
Page 22
... data the use of a median may be more appropriate than using a mean . E E As mentioned earlier , it is not proper to calculate the mean of a set of ordinal data . An all - too - common error occurs when someone attempts to calculate ...
... data the use of a median may be more appropriate than using a mean . E E As mentioned earlier , it is not proper to calculate the mean of a set of ordinal data . An all - too - common error occurs when someone attempts to calculate ...
Page 23
... set of data , we count the number of observations ( 15 ) and find that the midpoint is the 8th observation : 1925 gm . The median of 1925 gm ... set . GEOMETRIC MEAN MEASURES OF CENTRAL TENDENCY E E E When 23 DESCRIBING CONTINUOUS DATA :
... set of data , we count the number of observations ( 15 ) and find that the midpoint is the 8th observation : 1925 gm . The median of 1925 gm ... set . GEOMETRIC MEAN MEASURES OF CENTRAL TENDENCY E E E When 23 DESCRIBING CONTINUOUS DATA :
Contents
INTRODUCTION TO INFERENTIAL STATISTICS | 69 |
ERRORS IN TESTING HYPOTHESES | 81 |
FREQUENCY PROBABILITY | 89 |
Copyright | |
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Common terms and phrases
a p value a z score analysis of variance Apgar scores beta error birth weight calculate central tendency chance chapter chi-square test concept confidence interval continuous data conventional therapy degrees of freedom dependent variable descriptive statistics determine dispersion Diuretic example frequency distribution geometric mean graph head circumference inferential statistics look matched controls matched or unmatched matched samples MATCHED UNMATCHED MEASURES OF CENTRAL median nominal data normal curve normal distribution null hypothesis number of observations one-way ANOVA ordinal data outcome pairs patients percentage percentile population mean predictive value Present Absent probability random sample range Rank Sum Test raw score RECAP regression analysis relative risk repeated measures represent respiratory disease risk factor sampling variation set of data sign test small sample specific square standard deviation statistically significant test statistic tests of significance Type II errors z score z statistic