Statisitcal Skills Flashcards
How to work out standard deviation
First value-mean of data squared (do this for each value in the set) / no. of sets of data -1
- square root entire fraction
What does standard deviation tell us
To what extend does each piece of data deviate from the mean
In standard deviation what does the size of the bars tell us
The reliability of the mean
Is a smaller or a larger standard deviation bar more reliable
A smaller SD bar is more reliable
what results are most accurate
ones with little variation
to what dp do you answer standard deviation
1d.p
what can we conclude if standard deviation bars of different sets of data overlap
that there is not a significant difference between the means of the data (eg. cannot conclude X is more effective than Y)
what can we conclude if standard deviation bars of different sets of data don’t overlap
there is a significant difference between the means of the data (eg. can conclude X is more effective than Y
what is the P value
the probability of a result occuring by chance
what does p<0.05 mean
there is less than a 5% probability the results are obtained by chance, therefore it is significant
what probability is required for data to be statistically significant
p<0.05
what does p<0.5 mean
there is less than a 50% probability that results are obtained by chance, therefore it is not significant (probability of getting a result by chance is greater than 5%)
what significance is p<0.01
highly significant
what are the three statistical tests
student t-test
Chi^2
spearmans rank
what value does a t-test produce
t-value
what value does Chi^2 produce
X^2
what value does spearmans rank produce
r value
when do we use a student t-test
when comparing 2 sampled means (means generated from 2 samples of data)
when do we use Chi^2
when dealing with categorical data (e.g. dry dark/ dry light/ wet dark/ wet light)
when do we use spearmans rank
when finding correlations between two seperate variables (e.g. amount of milk drunk/height of person)
describe how to carry out a student t-test
- obtain two sets of data (describe means of what, what is used to measure, is there enough measured to ‘represent the population’)
- create a null hypothesis
- -work out normal distribution (e.g. through a bar chart)
-work out means of data and standard deviation
-calculate t-value - work out critical value using p=0.05 unless stated otherwise
- calculate degrees of freedom (n1-1)+(n2-1)
- n1= no of sets of the first data - closing comment
- is t value greater or lesser than critical value at p=0.05
- so is there a less than 5% chance the results are obtained by chance
- so is there a significant difference between the two means
- finally can we reject the null hypothesis
what is the closing comment in a t-test if t value (4.0) is more than critical value and p=0.05
- the t-value of 4.0 is greater than the critical value of 2.08 at p=0.05
- there is a less than 5% probability that the result is obtained by chance
- so there is a significant difference between the means of….
- so we can reject the null hypothesis