##### Biometry Chapter 6

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1

Frequency

The number of times a particular value occurs or the number of times values in a stated range occur.

2

Expected frequency

The number of times you expect a particular value to occur based on the null hypothesis being tested.

3

One-way classification chi-square test

or

Goodness-of-fit chi-square test

It compares frequencies assigned according to a single set of categories in a simple frequency distribution to those expected based on some theoretical consideration

4

Two-way classification chi-square test

or

Test of association

or

Test of Independence

It compares frequencies assigned according to two sets of categories in an R x C contingency table frequency distribution to those expected based on no association between the two sets of categories.

5

Test of homogeneity

When all expected values are the same in a one-way chi-square test

6

Contingency table

A table where R is the number of rows (that is, the number of categories in one set) and C is the number of columns (this is, categories in the other set)

7

What is step one of the one-way chi-square test?

State the null hypothesis

8

What is step two of the one-way chi-square test?

Choose a critical significance level

9

What is step three of the one-way chi-square test? Calculate the test statistic (X2)

*Degrees of freedom = number of categories - 1

10

What is step four of the one-way chi-square test?

Reject or accept the null hypothesis

11

What is step one of the two-way chi-square test?

State the null hypothesis

12

What is step two of the two-way chi-square test?

Choose the critical significance level

13

What is step three of the two-way chi-square test? Calculate the test statistic (X2)

*Degrees of freedom = (# of rows - 1)x(# of columns - 1)

14

What is step four of the two-way chi-square test?

Accept or reject your null hypothesis