3 Types of Percentages on a Two-Way Frequency Table - ANS-OVERALL% -
(aka Relative Frequencies) When all of the counts are divided through the overall overall
CONDITIONAL ROW% - whilst the explanatory variable is in rows; calculated through dividing
the joint frequencies of every row by way of the row overall
CONDITIONAL COLUMN% - whilst the explanatory variable is in the columns; calculated by
dividing joint frequencies of every column through column general
5 Number Summary - ANS-Min - Q1 - Median - Q3 - Max
Because "as a minimum one X" and "no X" are complements, it is continually genuine that -
ANS-P(as a minimum one X) = 1 - P(no X)
Center & Spread Measures - ANS-SYMMETRIC - Mean (middle) / Standard Deviation (unfold)
SKEWED - Median (center) / IQR (unfold)
CATEGORICAL - Mode (center) / no spread
Complementary Event - ANS-an occasion NOT taking place
Conditional Probability of Dependent Events - ANS-P(B chance of occasion B taking place for
the reason that A occurred A) = P(A and B)/P(A) this is "both" divided with the aid of "given"
Correlation Coefficient - ANS-aka "r", describes the course and energy of the connection of
variables on a scatterplot.
Between -1 and +1
0 = no correlation
-1 = ideal negative correlation
1 = ideal nice correlation
Define Explanatory vs Response Variable - ANS-EXPLANATORY VARIABLE (x/unbiased) -
presumed to feasible motive exchange in the response variable
RESPONSE VARIABLE (y/structured) presumed to be tormented by the explanatory variable
Disjoint Event - ANS-Event that cannot overlap or occur at the equal time.
P (A and B) = 0
P(A and B) = P(A) + P(B)
Example: rolling a 5 AND a 6 with one die can't both occur at the identical time
Empirical (Observational) Probability - ANS-This is based totally on an experiment.
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