![]() |
|||
Reusable Learning Object | |||
Power and sample
size
Please Note: This legacy resource has now been archived. If you still require access then please contact us via helm@nottingham.ac.uk and we will get back to you. Thank you for your patience and understanding.
|
|||
Testing hypotheses A hypothesis test is when a researcher compares two means or two proportions and conducts a statistical analysis based on two opposing hypotheses. The null
hypothesis, This table
shows the possible outcomes of a hypothesis test in relation to the true
situation. The true situation, which is unknown to the researcher, is
that the null hypothesis is either true or false. If the researcher decides
to reject the null hypothesis when it is false or not to reject the null
hypothesis when it is true then they will make the correct decision. On
the other hand, if the researcher rejects the null hypothesis when it
is true they will make a type I error. The probability of making a type
I error is determined by the significance level and if the null hypothesis
is true the probability of making a type I error is equal to |
|||
|
|||
------------------------------------ Page created: 1 September, 2002 By: Dawn Leeder Last updated: 17 October, 2019 2:13 PM By: Michael Taylor |