This collection of workbooks has tools for: 1. Linear regression through the origin 2. Linear regression not through the origin 3. Polynomial fit 4. A simple chi-square analysis to test whether a data set is in Hardy-Weinberg Equilibrium; the user may enter his or her own data set or use one of the included sets. Tools 1-3 can be inserted into a toolbar into any Excel application that you build.

Polyfit Mac OSX Documents

Polyfit Windows Documents

Polyfit Mac OS9 Documents

Pearson, K. 1956. Karl Pearson's Early Statistical Papers. Cambridge University Press.

Pearson, K. 1900. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine 50:157-175.

Zar, J. H. 1998. Biostatistical Analysis, fourth edition. Prentice Hall.

Young, G. A.; Smith, R. L. 2006. Essentials of Statistical Inference by G.A. Young and R.L. Smith. Biometrics 62.

Kneib, T.; Fahrmeir, L. 2005. Structured Additive Regression for Categorical Space–Time Data: A Mixed Model Approach. Biometrics 62.

Schill, W. 2006. Categorical Data Analysis Using the SAS System by M.E. Stokes, C.S. Davis and G.G. Koch. Biometrics 62.

May, S. 2006. Advanced Excel® for Scientific Data Analysis by R. De Levie. Biometrics 62.

Kendziorski, C. M.; Chen, M.; Yuan, M.; Lan, H.; Attie, A. D. 2006. Statistical Methods for Expression Quantitative Trait Loci (eQTL) Mapping. Biometrics 62.

Chernoff H, Lehmann E.L. The use of maximum likelihood estimates in χ2 tests for goodness-of-fit. The Annals of Mathematical Statistics 1954; 25:579-586.

Liu, L. C.; Hedeker, D. 2005. Mixed-Effects Regression Model for Longitudinal Multivariate Ordinal Data. Biometrics 62.

Guan, Y. 2005. Tests for Independence between Marks and Points of a Marked Point Process. Biometrics 62.

Zhiying, P.; Lin, D. Y. 2005. Goodness-of-Fit Methods for Generalized Linear Mixed Models. Biometrics 61.

RACIAL & ETHNIC DISTRIBUTION of ABO BLOOD TYPES