Maths Skills 1.9 Flashcards
State when it would be appropriate to use a student t test analysis. Give a couple of examples
When your measuring mean difference e.g. the mean difference of plantain on trampled and un trampled ground
State how you would correctly write a hypothesis for the student t test
Null hypothesis - there is no significant correlation
Alternate hypothesis - there is a significant correlation
State how you would select the correct critical value to compare to in an unpaired student t test
Calculate degrees of freedom by n - 1, use table of critical values to find corresponding value
State how you would write a conclusion to a student t test if:
a) the result was significant
b) the result was insignificant
a) at p=0.05 and — d.f. The critical value is — Our value of t is — so we reject the null hypothesis and there is a significant difference in — between — and —
b) at p=0.05 and — d.f. The critical value is — Our value of t is — so we accept the null hypothesis and there no significant difference in — between — and —
State when it would be appropriate to use a Spearman’s rank correlation analysis. Give a couple of examples
Measuring correlation between ranked variables - as light intensity changes, how does % cover of plantain change; correlation?
State how you would correctly write a hypothesis for the Spearman’s rank correlation
Ho: there is no significant correlation between - and -
Alternate hypothesis: there is a significant correlation between - and -
State how you would select the correct critical value to compare to in Spearman’s rank correlation
Use your n value (number of pairs) and significance level given (usually 5%)
State how you would write a conclusion to a Spearman’s rank correlation if:
a) the result was significant
b) the result was insignificant
At sig level - and n = -, the critical value is - which is >< our calculated value of -. This means there is (no) significant correlation between [factor 1] and [factor 2]
