Biology Practical- T Test data analysis

Concept of a t-test

compare means of two groups to figure out if the difference between them is statistically significant

df values

degrees of freedom (larger df, more reliable results)

how to interpret a t-test result

(less than 0. 5, statistically significant, greater than 0.05, not statistically significant)

How to distinguish what type of t-test should be used depending on the type of experimental design and data

Independent t-test: comparing two different unrelated groups

paired t-test: same group before and after

one-sample: comparing groups mean to a known value

p values

tells you how likely your results are if the null hypothesis is true