A measure of how spread out all of your repeats are from your mean
Advantages of using the S.D instead of the range
S.D shows the spread of data around the mean, whereas the range is only the difference between the highest and lowest value
S.D reduces the effect of anomalies, whereas the range includes anomalies
S.D can be used to indicate whether a difference between results is significant
Using Standard Deviation for a conclusion
If the S.D overlaps = likely no significant difference between x and y
If the S.D does not overlap = likely to be a significant difference between x and y
Example of using Standard Deviation
The standard deviation of the upper end of B overlaps with the lower end of A, therefore there is likely no significant difference between the species richness in habitat A and B
The standard deviation for habitat C does not overlap with either A or B, and is therefore likely to be significantly different
Correlation Coefficient
Used to investigate an association between two measurements
How to decide which statistical test should be used
Correlation coefficient is used to investigate an association between two measurements
Null hypothesis
A statement that there is no relationship between two variables
The student concluded that the more glucose you add, the more bacteria there will be, but this conclusion is not supported by the data
Student T-test
Used to investigate a difference between two means
How to use the Student T-test
Justify the use of the Student T test
Write a null hypothesis
Write a conclusion
Worked examples of Student T-test
Calculated T-test value exceeds critical value, so can reject null hypothesis and conclude difference is significant
Calculated T-test value does not meet or exceed critical value, so must accept null hypothesis and conclude difference is not significant
The scientists concluded that the communities did change, but this conclusion is not fully supported by the data
Chi-squared test
Used to determine whether there is a significant difference between the observed and expected results in an experiment
How to use the Chi-squared test
Justify the use of the Chi-squared test
Write a null hypothesis
Write a conclusion
Index of Diversity
A measurement that describes the relationship between the number of species present and how each species contributes to the total number of organisms in a community
Calculating Index of Diversity
1. Calculate N(N-1) to find value A
2. Calculate n(n-1) for each species and add to find value B
3. Calculate A / B
Worked example of calculating Index of Diversity
N = 25, ∑n(n-1) = 180, D = N(N-1)/∑n(n-1) = 3.3
Assumptions of Hardy-Weinberg Theorem
No natural selection
Random mating
No mutations
Closed population
Large population size
Hardy-Weinberg Theorem
Can determine the allele frequency and the genotype frequency
Determining allele frequency
Use equation p + q = 1 where p is frequency of dominant allele and q is frequency of recessive allele
Determining genotype frequencies
Use equation p^2 + 2pq + q^2 = 1 where p^2 is frequency of homozygous dominant, 2pq is frequency of heterozygous, and q^2 is frequency of homozygous recessive
Worked examples of using Hardy-Weinberg Theorem
Calculating allele frequency of recessive allele
Calculating genotype frequency of homozygous dominant allele