We accept any probability greater than 5% as likely to be just chance, but probabilities of 5% or below show us that the data do differ significantly and there must be a cause influencing the outcome
fill
A) measurements
B) frequencies
C) associations
D) differences
E) genetics
Using standard deviation is better than the range as it uses all the observations, and is less affected by the outliers
look! theres an overlap with the error bars..
what does this suggest?
it's likelyduetochance
If P value is less than 0.05, the different is significant and notdue to chance
Some samples may be too many to count so you dilute but some may be countable so don’tdilute
its the probabilities that are due to chance not the results
The student’s t-test is a statistical test used to determine if there is a significantdifference between the meanvalues of a particular variable across two populations.
The conditions for using student's t-test are:
The data must be continuous and normally distributed.
The variances of the populations should be equal.
The samples must be independent of each other.
null hypothesis for t test:
This assumes there is nosignificantdifference between the means of the datasets
If the t statistic is greater than the critical value:
Reject the null hypothesis.
This suggests that the means are significantlydifferent.
If the t statistic is less than the critical value:
Accept the null hypothesis.
This suggests that there is nosignificantdifference between the means, and any difference is just due to chance.
± 2 standard deviations from the mean includes over 95% of the data
do NOT refer to results being due to chance
its the differences or associations in their results being due to chance
The closer the simpsons index is to one, the more diverse the habitat and the greater its ability to cope with changes with the environment
The lower the index is to zero, it suggests the habitat is more easily damaged by changes in the environment, making it less stable
spearmans rank gives you a numerical value to tell you the strength and direction of the correlation