BIOL 3327 Experimental Methods Lecture 10

These flashcards cover key concepts and terms from Lecture 10 of the BIOL 3327 course, focusing on ANOVA and statistical methods.

What does ANOVA stand for?

ANOVA stands for Analysis of Variance.

What is the purpose of ANOVA?

ANOVA is used to determine if treatment variance is significantly larger than background variance.

What is the formula for the F statistic in ANOVA?

F = MST / MSE, where MST is the Mean Sum of Squares due to Treatment and MSE is the Mean Sum of Squares due to Error.

What does a p-value below 0.05 indicate in ANOVA?

It indicates that there is a statistically significant difference between groups.

What is the difference between a one-tailed and a two-tailed test in hypothesis testing?

A one-tailed test looks for a difference in one direction, while a two-tailed test looks for differences in both directions.

What does the term 'degrees of freedom' refer to in the context of ANOVA?

Degrees of freedom refer to the number of independent values or quantities which can be assigned to a statistical distribution.

What are some common post hoc tests used after ANOVA?

Common post hoc tests include Tukey's Honestly Significant Difference (HSD) and Least Significant Difference.

What is meant by 'homogeneity of variance' in ANOVA?

Homogeneity of variance means that the variances among the groups being compared are approximately equal.

What is the significance of the F distribution in ANOVA?

The F distribution is used to determine the critical value to compare against the calculated F statistic to assess significance.

What do t-tests compare?

T-tests are used to compare the means of two populations to determine if they are significantly different from one another.