Chapter 13 Flashcards
What is P value
A P-Value is the probability that random chance generated the data, or something else that is equal or rarer
Alpha level
In NHST, the threshold probability below which a test statistically is deemed to be unlikely to have originated from the sampling distribution ie .05 below are considered stat significant
Conclusion validity
The extent to which the conclusion about the relationship among variables, based on our analysis of the data are correct .
Error variance
The variability of each score relative to its group mean. This is random variability that is not attributed to change in the independent variable.
F test
An NHST, wether two or more means differ in the population also called ANOVa
Null hypothesis
The hypothesis that there is no effect in the population.
Power
Within the NHST framework, the probability of correctly rejecting the null hypothesis using a particular statistical test.
Probability
The likelihood that a given event will occur.
Publication bias
The bias in the literature that emerges because statistically significant results are more likely to be published in scientific journals than statistically no. Significant results
Sampling distribution
A frequency distribution of values obtained if a study was repeated an infinite number of times, using the exact same parameters. Used to evaluate the likelihood of a given result based on chance alone.
Systematic variance
Variability in a set of scores that is the result of the independent variable; statistically , the variable of each group mean from the grand mean of all participants.
T-test
An NHST statistic used to compare two means
Type 1 error
An incorrect decision to reject the null hypothesis, when It is fact true.
Type 2 error
An incorrect decision to accept the null hypothesis, when it is in fact false.
