2010 Biostatistics 08
Normal Distribution
ORIGIN 0
1
The Normal Distribution
The Normal Distribution, also known as the "Gaussian Distribution" or "bell-curve", is the most widely
employed function relating observations X with probabilty P(X) in statistic
2010 Biostatistics 41
Chi-Square Goodness of Fit
ORIGIN 1
1
2 Test for Goodness of Fit
Goodness of Fit is the term applied to tests of nominal-scale data in which counts of observations are placed
in separate blocks. These counts are then compared with an
2010 Biostatistics 38
Multiple Regression
1
ORIGIN 0
Multiple Regression
Multiple Regression is an extension of the technique of linear regression to describe the relationship between a
single dependent variable (Y) and multiple independent (predictor) va
2010 Biostatistics 35
Simple Linear Regression
ORIGIN 1
1
Simple Linear Regression
Linear Regression and the so-called "General Linear Model" represent a class of methods that seek to relate
values of an observed "dependent" random variable (Y) that is No
2010 Biostatistics 29
ORIGIN 1
Balanced 2-Way ANOVA
1
Two-Way ANOVA for Fixed Effects with Equal Sample Sizes
The ANOVA approach analyzes means from multiple populations with membership in each sample
determined by discrete values of a classification vari
2010 Biostatistics 25
ORIGIN 1
ANOVA Multiple Comparisons
Multiple Pairwise Comparison Procedures in
One-Way ANOVA with Fixed Effects Model
When the F-Test for ANOVA rejects the null hypothesis that all i's = 0, or equivalently that all i are the
same, th
2010 Biostatistics 20
Sign Test
ORIGIN 0
1
Sign Test
The Sign Test is a nonparametric analog to the paired t-test. It requires the use of ordinal data - data that
can be ordered but need not have specific numerical values. Of course, ordinal data can be c
2010 Biostatistics 16
2 Sample t-Test = var
ORIGIN 0
1
Two Sample t-Test for Populations with Equal Variances
This test is employed where two sets of measurements are derived from samples with approximately
equal variances.
ZAR READPRN( "c:/2010BiostatsDa
2010 Biostatistics 13
Power & Sample Size
ORIGIN 0
1
Estimating Power and Sample Size for a One Sample t-Test
Pilot studies are often run in advance of collecting data for major statistical analyses. These studies are
used to determine the POWER of an ana
2010 Biostatistics 05
Standard & Conditional Probability
1
Standard & Conditional Probability
ORIGIN 0
Probability as a Concept:
"The probability of an event is the liklihood of that event expressed either by the relative frequency
observed from a large n