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 one or more groups of subjects, and then
use this infor
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 the properties of some
larger set of data - the populati
BIOL 458 Biometry
Lab 4: HYPOTHESIS TESTS USING R
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The objective of this lab is to introduce you to simple hypothesis tests designed to test
for differences in the location or central tendency between an experimental group and a
theoretical value or betw
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 examination of quantitative data, we conclude that the
te
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 with a
misleading name. The purpose of ANOVA is not to
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 is because there is no alternative. For instance, if we
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
graphs.
The data for this week's lab come straight from some
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
power.t.test(n=10, sd=sqrt(8), sig.level=0.05, d=2, type="o
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 with 10 samples
power.t.test(n=10, sd=sqrt(8), sig.leve
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 the properties of some
larger set of data - the populati