Statistical tests quantifies differences/strength of association by calculating test statistic
Test statistic + degrees of freedom = p-value
p-value - proabbility that effect seen in data is due to random noise
- If p>a = accept H0, no sig. effect
- If p<a = reject H0, significant effect
Very small p-value = small probability that difference is due to random noise
p-value contains information - always give actual value if poss e.g. 0.0000053
Asterisks - used to indicate degrees of significance:
- * - 0.05-0.01
- ** = <0.01
- *** = <0.005 or <0.01
If more 2+ test used in experiment, critical p-value should be reduced to retain critical level of 0.05 across experiment
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