( ) does NOT equal ( ) - ANSWER-Correlation, causation
***A null hypothesis that is failed to be rejected does NOT mean that the statement is true, we do not
prove if it is actually true or not - ANSWER-Note
***A small p-value means that the data is less likely to be caused by chance, and decreases the
likelihood of a type 1/2 error - ANSWER-Note
A clear/ obvious line of best fit means... - ANSWER-There is a positive correlation... the stronger the line
the better the correlation (low, high, perfect)
Alternate hypothesis - ANSWER-Statement that is opposite of the null; we try to find evidence agaisnt
the null in order to accept the alternate
Big p-value meaning - ANSWER-Data is not significant; we fail to reject the null!
Biovariate data - ANSWER-Data that measures 2 variables and helps determine their relationship
Correlation - ANSWER-Measures the relationship between 2 things
Draw a type one and two error chart - ANSWER-Task
Example of non-biovariate data: - ANSWER-Quiz average and frequency
Explain a type one error - ANSWER-The null hypothesis is true, but we reject it and accept the alternate
Explain a type two error - ANSWER-The alternate hypothesis is true, but we fail to reject the null
Fixed t-test - ANSWER-Comparing data to a fixed (known) number such as boiling point
High negative correlation value - ANSWER--0.5
High positive correlation value - ANSWER-0.9
How many SD are 68.2% of the data? - ANSWER-1 SD
How many SD are 95.4% of the data? - ANSWER-2 SD
How many SD are 99.6 of the data? - ANSWER-3 SD
In terms of correlation, explain the meaning of the following numbers:
1, 0.9, 0.5, 0, -0.5, -0.9, -1 - ANSWER-Refer to previous cards
Low negative correlation value - ANSWER--0.5
Low positive correlation value - ANSWER-0.5
Mean - ANSWER-Average
Median - ANSWER-Middle of ordered data
Mode - ANSWER-Value that appears most often