Statistics Flashcards
Why results from biology experiments often dont give clear cut patterns
3
- Biological material is intrinsically variable- different genes and environments
- Often working with small possibly unrepresentative samples of a population
- Some variable are very hard to control
‘Chance’ factors
Significance of r
Significant result if r is high
R=1 perfect positive correlation
R=-1 perfect negative correlation
R=0 no correlation at all
4 steps for statistical test
- Decide which stats test is appropriate
- Write down null hypothesis to test
- Use the stats test to calculate a number- the statistic
- Evaluate the number using tables to decide whether the statistic tells that the difference in the results could easily be down to chance- null hypothesis is accepted- or whether there is a significant difference in results
Correlation between 2 variables
Correlation co efficient
Counting things in different categories
Chi squared test
Two sets of measurements to compare to see if means are different
T test
Null hypothesis
There is no significant difference between ____ and _____ . Any difference is due to chance.
Degrees of freedom T test
N1 + n2 -2
Which column is always used
P=0.05
5%
When to reject null hypothesis
If calculated value is greater than critical value
Less than 5% probability that difference in data were caused by chance alone
Degrees of freedom for correlation coefficient
Number of pairs of measurements - 2
Degrees of freedom for chi squared
Number of categories - 1