CHAPTER 11. GOODNESS OF FIT AND CONTINGENCY TABLES
The chi-square distribution was discussed in Chapter 4. We now turn to some
applications of this distribution. As previously discussed, chi-square is
CHAPTER 10. SIMPLE REGRESSION AND CORRELATION
In agricultural research we are often interested in describing the change in one variable
(Y, the dependent variable) in terms of a unit change in a secon
CHAPTER 9. MULTIPLE COMPARISONS AND TRENDS AMONG TREATMENT
MEANS
The analysis of variance method is a useful and powerful tool to compare several
treatment means. In comparing k treatments, the null h
CHAPTER 8.
RANDOMIZED COMPLETE BLOCK DESIGN WITH AND
WITHOUT SUBSAMPLES
The randomized complete block design (RCBD) is perhaps the most commonly
encountered design that can be analyzed as a two-way AO
Chapter 7.
COMPLETELY RANDOMIZED DESIGN WITH AND WITHOUT
SUBSAMPLES
Responses among experimental units vary due to many different causes, known and unknown.
The process of the separation and compariso
CHAPTER 6.
TWO POPULATION MEANS, CONFIDENCE INTERVALS AND
HYPOTHESIS TESTING
Experiments are often conducted to compare two treatments. For example, comparing the
yielding ability of a new variety wit
CHAPTER 5.
5.1
A POPULATION MEAN, CONFIDENCE INTERVALS AND
HYPOTHESIS TESTING
Concepts
When a number of animals or plots are exposed to a certain treatment, we usually estimate the
effect of the treat
Chapter 4.
SAMPLING DISTRIBUTIONS
In agricultural research, we commonly take a number of plots or animals for experimental use.
In effect we are working with a number of individuals drawn from a large
Chapter 3.
POPULATION DISTRIBUTIONS
Frequency distributions constructed from a sample such as the sugarbeet example of Chapter 2
represent only a portion of a much lager population of sucrose concentr
Chapter 2.
2.1
DATA EXPLORATION AND SUMMARIZATION
Frequency Distributions
Commonly, people refer to a population as the number of individuals in a city or county, for
example, all the people in Califo
Chapter 1.
1.1
STATISTICAL NOTATION AND ORGANIZATION
Summation Notation for a One-Way Classification.
In statistical computations it is desirable to have a simplified system of notation to avoid
compl