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JMU BIO 250 LAB FINAL: Statistical Tests and Analysis, Exams of Biology

A concise guide to various statistical tests commonly used in biological research. It outlines the steps for conducting each test, including mann-whitney, kruskal-wallis, chi-square, linear regression, shapiro-wilk, t-test, and anova. The document also highlights key concepts such as normality testing, hypothesis testing, and interpreting p-values. It is a valuable resource for students in biology labs, particularly those preparing for a final exam.

Typology: Exams

2024/2025

Available from 01/04/2025

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JMU BIO 250 LAB FINAL
Mann Whitney steps - ✔✔Automatic recode- analyze- non
parametric tests- legacy dialogs- 2 independent samples
test variable: numbers (scale)
grouping variable: recode
Kruskal-Wallis test steps - ✔✔analyze- nonparametric tests-
independent samples
objective - check automatically compare distributing groups
fields- test fields: numbers(scale)
groups: recode
settings- customize- check kruskal wallis
multiple comparisons- all pairwise
kruskal wallis sig value - ✔✔p < 0.05 = reject the null
kruskal wallis test p values - ✔✔double click- view- pairwise
comparisons
p < 0.05 = significant difference
p > 0.05 = no difference
chi square steps - ✔✔automatic recode- data- weight- weight cases
by: number (scale)
analyze- nonparametric tests- legacy dialogs- chi square
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JMU BIO 250 LAB FINAL

Mann Whitney steps - ✔✔Automatic recode- analyze- non parametric tests- legacy dialogs- 2 independent samples

test variable: numbers (scale)

grouping variable: recode

Kruskal-Wallis test steps - ✔✔analyze- nonparametric tests- independent samples

objective - check automatically compare distributing groups

fields- test fields: numbers(scale)

groups: recode

settings- customize- check kruskal wallis

multiple comparisons- all pairwise

kruskal wallis sig value - ✔✔p < 0.05 = reject the null

kruskal wallis test p values - ✔✔double click- view- pairwise comparisons

p < 0.05 = significant difference

p > 0.05 = no difference

chi square steps - ✔✔automatic recode- data- weight- weight cases by: number (scale)

analyze- nonparametric tests- legacy dialogs- chi square

test variable: (recode)

chi square p values - ✔✔asumo sig.

can reject null (there's no preference) with (100-p-value)% confidence

p<0.05 - ✔✔reject the null hypothesis, statistically significant difference, abnormally distributed

p>0.05 - ✔✔fail to reject null, no difference, normally

used to compare relationship between 2 variables - ✔✔Linear Regression

Compare means of 2 variables - ✔✔normally distributed: t-test

abnormally distributed: Mann-Whitney

comparing categories or preferences - ✔✔chi square

Linear Regression steps - ✔✔analyze - regression - linear

independent: IV

dependent: DV

R square - ✔✔explains variability

Dependent list: numbers (scale)

Factor: recode

Post Hoc- Tukey

ANOVA sig value - ✔✔p < 0.05 = significant difference - reject null

ANOVA Multiple Comparisons - ✔✔p < 0.05 = groups are different

p > 0.05 = groups are NOT different

distributed