week 5- making sense of statistical data Flashcards
confidence intervals
an estimates range of values that might contain the true effect of a treatment.
95% level- means that 95% of the time, the CI will contain the true value.
correlation
the relationship between two variables correlation does not equal causation 3 factors - strength (r-value) - direction (positive or negative) - statistical significance (P-value)
strength (r-value)
a factor of correlation
how similar the two variables are from -1 to +1
strength can be the same regardless of direction. so -0.6 is the same as -0.6
0= no correlation and 1= perfect correlation
direction (positive or negative)
a factor of correlation
refers to which direction the independent and dependent variables move
positive: when the DV and IV both move in the same direction. eg. both increase or both decrease.
negative: when the variables move in opposite directions. eg. increase in exercise and decrease in body fat.
statistical significance (P-value)
factor of correlation
we need all three elements to tell weather a relationship is significant or not.
eg. r=0.72, p=0.02
there is a strong positive relationship between the independent and dependent variable.
CORRELATION DOESNT EQUAL CAUSATION