Final-4 Flashcards
(16 cards)
Descriptive statistics
mean, median, mode
variance, standard deviation
correlation coefficient
linear regression
a way to show and predict the relationship between two variables using a straight line.
inferential statistics
methods that use data from a sample to make conclusions or predictions about a larger population.
Independent groups t-test
a statistical test used to compare the average scores of two different groups to see if there is a significant difference between them.
Repeated measures t-test
a statistical test used to compare the average scores of the same group of people measured at two different times or under two different conditions.
One-tailed test
results from an alternative hypothesis which specifies a direction
Two-tailed test
results from an alternative hypothesis that does not specify a direction
ANOVA
a statistical test used to compare the means of three or more groups to see if there is a significant difference between them.
Chi-square test of independence
a statistical test used to determine if there is a significant association between two categorical variables.
p-values
a measure used in statistical testing to determine the strength of evidence against the null hypothesis.
type-1 errors
occurs when a true null hypothesis is incorrectly rejected (false positive)
Type II Errors
happens when a false null hypothesis is not rejected (false negative).
statistical power
the probability that a test will correctly reject a false null hypothesis (i.e., detect an effect when there is one).
exact replication
involves repeating a study with the same methods and procedures to see if the results can be reproduced,
conceptual replication
involves testing the same hypothesis but with different methods or procedures to see if the findings hold in different contexts.
meta-analysis
