Statistical Tests Flashcards
What is a sample?
A portion of the population being studied. (subset)
Process of obtaining sample from the population
Sampling
Differences between sample and population
Sample error. Frequency distribution of different samples AND the original population are not the same.
Frequency distribution
Distribution of certain characteristics in a sample
Eg colour of jellybabies
What type of test can be used to show that results are not or are due to sample error?
Chi squared - not just a chance result/due to sample error. Something of biological interest is going on
Formula for calculating standard error
Sy = s / √n
s=standard deviation
n=sample size
Confidence interval
+/- Sy
A range of values that is likely to include a population value
Lower confidence limit
mean - tSy
degrees of freedom for t = n -1
Upper confidence limit
mean + tSy
degrees of freedom for t = n -1
95% confidence is
0.05 critical significance level
Finding t for the confidence limit
Find critical significance level using % level of confidence
Degrees of freedom = n - 1
Calculating Sample Varience
Square of Standard deviation
When can varience be used?
When the data is taken from an entire population
Process of finding variance
Sum of the difference between each of the data points and the mean squared. Take the average of that.
Standard error of the mean
SE/SEM = SD/√n