Statistics Flashcards
What is the main objective of statistical tests?
To determine whether a set of data differs significantly from outcomes that may be produced by chance
What is a null hypothesis?
States there will be no significant difference / correlation between variables.
Investigations aim to disprove the null hypothesis
What is a significant difference / correlation?
One unlikely to have occurred due to chance.
Works on a significance level (probability it is due to chance) - usually 0.05.
How would you determine which statistical test to use?
- If you are collecting frequencies (counting number of individuals in categories), use the Chi-Squared test
- If collecting measurements, are you looking for correlations or differences between means?
- If looking for a correlation between variables of the same sample, use the Correlation coefficient test
- If looking for differences between two means, use the Student-t-test
What is the Student-t-test?
Determines if there is a significant difference between means of sets of measured data.
The number of subjects doesn’t need to be the same in each sample, but should be at least 15
How do you calculate degrees of freedom for the student-t-test?
(n1-1) + (n2-1)
where n1 is the number of subjects in sample one and n2 is the number of subjects in sample two
Describe what the Spearman’s rank correlation coefficient values mean?
1 = a strong positive correlation
-1 = a strong negative correlation
0 = no correlation
Describe the correlation coefficient graphs
A value of 1: y = x
A value of -1: a negative line in the positive quadrant
A value of 0: a horizontal line in the positive quadrant
What is the Chi-squared test?
Looks at differences in frequencies between groups / categories and determines whether they are statistically different to what you would expect.
Give the structure of a biological conclusion
- The test statistic is (less/more) than the critical value
- We (accept/reject) the null hypothesis
- There is a (more/less) than 0.05 probability the difference is due to chance.
- There (is not/is) a significant difference/correlation between (x) and (y)