Type 1 & 2 errors Flashcards
Definition: the likelihood that a particular event (or outcome) will occur
Probability
Definition: statistical term that indicates that the association between two (or more) variables is strong enough for us to accept the alternative hypothesis.
Significance
The standard level of significance is…
0.05
These errors occur when a researchers accept the alternative (experimental hypothesis).
False positive - Type 1 error
The researcher claims the research is significant at the 0.05 but it’s actually not significant. This leads to the incorrect rejection of the null hypothesis.
False positive - Type 1 error
More likely to occur at the larger probability level used.
False positive - Type 1 error
Occurs when results have been found to not be significant at the 0.05 level and that they occurred down to chance.
False negative - type 2 error
The incorrect acceptance of the null hypothesis when they should have accepted the alternative hypothesis.
False negative - type 2 error
Can occur because of a too strict significance level (such as 0.01).
False negative - type 2 error
Data which is categorical, usually measured in frequency data.
Nominal data
Data which is ordered and ranked
Ordinal data
Data is when there is a standard unit of measurement and the break between each unit is standard.
Interval data
Data that is still a score but does not have minus numbers
Ratio data
Descriptive statistic used for nominal data…
Mode
Descriptive statistic used for ordinal data…
Median
