Ch. 3 Flashcards
(14 cards)
MEAN
MEAN OF THE VALUES IN A POPULATION
(THE PARAMETER)
MODE
the mode of the data is the value that occurs WITH THE GREATEST FREQUENCY
Midrange
the midrange is the measure of center that is THE VALUES MIDWAY BETWEEN THE MAXIMUM AND MINIMUM VALUES in the original data set. It is found by adding the maximum data value to the minimym data value and then diviiding the sum by 2.
MEAN FROM A FREQUENCY DISTRIBUTION
Median
measure of the center that is the middle value when the original data values is arranged in order of increasing or decreasing magnitude.
X TILDE
Med in calculator
Range
range= [maximum] - [minimum]
Standard Deviation
Sx in calculator
Population Standard Deviation
Varience
is a measure of varience equal to the square of the standard deviation
Range Rule of Thumb
minimum “usual” value = (mean) - 2(standard deviation)
maximum “usual” value = (mean) + 2(standard deviation)
to calculate standard deviation from set of data use:
s= range/ 4
Empirical (68-95-99.7) Rule for Data with Bell-Shaped (normal) Distribution
Chebyshev’s Theorem
the proportion (or fraction) of any set of data within K standard deviations of the mean at least:
where K is any positive number greater than 1.
AT LEAST 3/4 (76%) LIE WITHIN 2 STANDARD VARIATIONS OF THE MEAN
AT LEAST 8/9 (89%) LIE WITHIN 3 STANDARD VARIATIONS OF THE MEAN