BIOL 458 Biometry
LAB 3: Sampling, Sampling Distributions, and Point Estimation
Biologists and scientists and scholars in many other disciplines often wish to
estimate the value of some attribute for
BIOL 458 Biometry
LAB 2 ANALYSIS OF DATA: DESCRIPTIVE STATISTICS
When you analyze data, you are doing so for a reason. Presumably, you want to
use the information collected from sample data to infer t
BIOL 458 Biometry
Lab 4: HYPOTHESIS TESTS USING R
_
The objective of this lab is to introduce you to simple hypothesis tests designed to test
for differences in the location or central tendency betwee
Biology 458 Biometry
Lab 5 - Risk Analysis, Robustness, and Power
I. Risk Analysis
The process of statistical hypothesis testing involves estimating the probability of
making errors when, after the ex
BIOL 458 - Biometry
LAB 6 - SINGLE FACTOR ANOVA and MULTIPLE COMPARISON PROCEDURES
PART 1: INTRODUCTION TO ANOVA
Purpose of ANOVA
Analysis of Variance (ANOVA) is an extremely useful statistical method
BIOL 458 BIOMETRY
Lab 8 - Nested and Repeated Measures ANOVA
PART 1: NESTED ANOVA
Nested designs are used when levels of one factor are not represented within all levels
of another factor. Often this
Lab 1 - R version
The purpose of lab 1 is just to get you started on using R. So as part of this lab
you will read in data, get descriptive statistics on variables in the data file and plot some
graph
lab5
A. We calculated the sample size of a test to determine if the arsenic in drinking
water meets exceeds the public drinking standard of 5ppb by 2ppb.
# calculate power of test with 10 samples
powe
Lab 5
Kelly Hyde
Question A
We calculated the sample size of a test to determine if the arsenic in drinking water
meets exceeds the public drinking standard of 5ppb by 2ppb.
# calculate power of test
BIOL 458 BIOMETRY
Lab 9 - Correlation and Bivariate Regression
Introduction to Correlation and Regression
The procedures discussed in the previous ANOVA labs are most useful in cases where
we are inte
BIOL 458 Biometry
LAB 2 ANALYSIS OF DATA: DESCRIPTIVE STATISTICS
When you analyze data, you are doing so for a reason. Presumably, you want to
use the information collected from sample data to infer t