Use when the measurements relate to sample size in different categories.
Produce a null hypothesis: There's no difference between the expected and observed results."
Calculate the value of chi and look at the tables.
The degrees of freedom are one less than the number of categories.
If the value of chi is greater than the critical value we reject the null hypothesis and say there IS a significant difference between the observed and expected.
1 of 4
Spearman's rank correlation
Null hypothesis: there's no association between the two variables.
Calculate the Rs.
Look up on table the number of measurements and the critical values for each one
If your Rs is greater than the critical value you reject the null hypothesis.
2 of 4
Standard error
To find if there's difference between two means.
Null hypothesis: no difference between the no. of seeds in the dark than the ones at the sun.
Calculate standard error.
95% confidence are 1.96+ mean and mean-1.96.
If these values don't overlap, there's a significant difference between the 2 variables. (Plot a whisker!!)
If they overlap we accept the null hypothesis.
3 of 4
T-test
Significant difference between two means.
Null hypothesis: There's no difference between the two variables.
Calculate t.
Degrees of freedom are both sample sizes -2.
Look up the degrees and critical values.
If t greater than critical, the null hypothesis is rejected.
Comments
Report
Report
Report
Report
Report