module 2 - measures of location and spread Flashcards

1
Q

what is the formula for calculating the mean?

A

sum of the data values / the number of data values

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2
Q

how do you calculate the mean in a frequency table?

A

the sum of all the products of the data
values and their frequencies/
the sum of the frequencies

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3
Q

how do you find the upper and lower quartile of discrete data?

A

lower= divide N by 4
upper = find 3/4 of N

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4
Q

when do we use interpolation and what is the formula?

A

when the data is presented in a grouped frequency table

value- LB (CF) = position - LB (CW)
/ UB(CF) - LB(CF) / UB(CW) - LB(CW)

where
UB = upper bound
LB = lower bound
CF= cumulative frequency
CW= class width
VALUE= what value on the CF table the solution is
POSITION= the percentile we are looking for

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5
Q

what is the variance and what is the equation for it?

A

variation = how much the values deviate from the mean
(Σx²)/ n – (Σx/n)² = the mean of the squares, minus the square of
the mean

Σ represents “sigma” meaning sum of all

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6
Q

how do you find out standard deviation from the variance

A

square root the variance

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7
Q

how do you get standard deviation values on a calculator

A

shift - setup
3- statistics
frequency? : on
setup - 3 statistics
insert X and Y values
OPTN,
3 - gives values

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8
Q

what is the equation for variance

A

the mean of the squares minus the square of the mean
(Σx²)/ n – (Σx/n)²

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9
Q

why do we use coding in data values

A

simplifies statistical calculations
coded set of data values are easier to work with
(you will be given an equation to code the data)

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10
Q

if the data is coded using the formula
y= (x-a) / b
how is the mean of the coded data given
and how is the standard deviation given

A

mean = x bar - a /b (where xbar is the mean of the uncoded data)

standard deviation sigma (y) = sigma (x) /b
where sigma (x) is standard deviation of original data

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11
Q

how do you code class intervals

A

code the midpoint of the class interval

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