Chapter 6: measures of central tendency Flashcards

1
Q

The population arithmetic mean is denoted by

A

M

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2
Q

The sample arithmetic mean is denoted by

A

X bar

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3
Q

One of the two mathermatical property of the mean

this equation value ∑(Xi-c)² is minimum when

A

c is equal to x bar

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4
Q

One of the two mathermatical property of the mean

∑(Xi-M) is equal to

A

0

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5
Q

If we add or subtract c to each one of the original observations, then what happens to the mean

A

the mean will increase or decrease by the same constant

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6
Q

If we divide or multiply all original observations to constant c, then what happens to the mean?

A

the mean of the new data set is equal to the product of old data and c

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7
Q

This is used if the individual observed values vary in their degree of importance

A

weighted mean

[https://www.bing.com/images/search?view=detailV2&ccid=7Hd4k%2BQN&id=9D2

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8
Q

A modification of the arithmetic mean. This is an apppropriate alternative to arithmetic mean whenever there are outliers

A

trimmed mean

When the question says, get the 5 percent trimmed mean of the data – You should delete the top and bottom 5 percent

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9
Q

This divides the array into two equal parts

A

Median

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11
Q

Interpretation for the median

A

At least half of the observations are less than or equal to the median and at the same time at least half of the observations are greater than or equal to the median

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12
Q

What is the property of the median

A

Outliers do not affect the meadian

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13
Q

This is the most observed value

A

Mode

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14
Q

What is the property of the mode

A
  • It does not always exist or it may not be unique
  • Outliers do not affect the mode
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15
Q

What is the data requirement for mean

A

Atleast interval scale

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16
Q

What is the data requirement for median

A

At least ordinal scale

17
Q

What is the data requirement for mode

A

Only nominal scale

18
Q

What is the property of the mean

A

It utilizes all of the observed values in the collection

19
Q

How to approximate for the median from grouped data (formula)

A

Md = LCB(md) + C (times the equation below)

those parenthesis means subscript

f(md)

20
Q

How to approximate for the MEAN from grouped data (formula)

A

N

from i to k

Where,
Fi is the frequency
Xi is the class mark
N is total observations or summation of fi
k is equal to total number of classes

21
Q

How to approximate for the mode in grouped data

A

Mo = LCBmo + C ((fmo-f1)/(2fmo-f1-f2))

where,
f1 is the frquency of the class preeceding the modal class
fmo is the frquency of the modal class
f2 is the the frquency of the class following the modal class

22
Q

What is the property of the mode

A

It may not always exist

23
Q

What is the property of the median

A

Outliers in a data set do not affect the median