Foundations
This is the generally accepted p-value for statistical significance.
What is .05?
This is the analysis you would use when interested in the relationship between two or more interval/ratio variables.
What is Pearson's r?
When evaluating the differences in expected and observed counts for one nominal variable, you would use this analysis.
What is one-way chi-square?
This statistic calculates the mathematical middle of the data set
What is the mean?
This is one of the assumptions of parametric correlational statistics.
What is normality or linearity?
This category of statistics has assumptions for the data, and if a data set does not meet those assumptions, the statistic is not appropriate to use.
What are parametric statistics?
This category of statistics can only summarize data for individual variables.
What are descriptive statistics?
This is the effect size for correlational statistics.
What is r2?
In contrast to descriptive statistics, this category of statistics are used to analyze data in order to answer research questions.
What are inferential statistics?
This is the measure of central tendency that is most sensitive to change.
What is the mean?
Regression analyses add this additional information to correlational analyses
What is line of best fit or prediction?
This hypothesis states that there is no relationship between the observed variables.
What is the null hypothesis?
This is why it is important for our sample data to match the distribution of the population data.
What is external validity/generalization?
These are the values you need to predict someone's score on Y.
What is Y-intercept (a), slope (b), and score on X?
Statistical significance tells us if the findings are likely due to chance or not, while _____tells us about the meaningfulness or magnitude of the relationship/difference.
What is effect size?