Measures of Central Tendancy Flashcards

1
Q

What are the 3 measures of central tendency?

A
  1. Mode
  2. Mean
  3. Median
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2
Q

What does bimodal mean?

A

A data set in which 2 modes can be identified

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3
Q

What does multi modal mean?

A

A data set in which two or more modes can be identified

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4
Q

What is the mode?

A

The data value that occurs most frequently in the set

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5
Q

How is mode calculated?

A

Put the raw data in order so that values which are the same will appear together in the list

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6
Q

What is frequency distribution?

A

A table that shows the frequency with which each value occurs in a data set

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7
Q

What is grouped frequency distribution?

A

A table in which the values are formed into groups and the number of occurrences in each group from a data set is recorded.

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8
Q

Which data type is more appropriate for using the mode?

A

The mode is a suitable measure of central tendency when the data are QUALITATIVE Mode can be used for quantitative data as well but it is not very informative when a data set is multimodal or has no mode at all

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9
Q

What is mean?

A

The average of all the data in the set

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10
Q

How do you calculate the mean?

A

Sum of data values / No. values in the set

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11
Q

What is the equation of the mean for a raw data set?

A
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12
Q

What is the equation for the mean if the data is summarised in a grouped frequency distribution?

A
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13
Q

How do you work out the mean when the data is summarised in a grouped frequency distribution?

A

Use the frequency distribution formula where each value of x is represented by the class mid-point

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14
Q

What type of data is the mean suitable for?

A

Discrete or continuous quantitative data

It is not suitable for qualitative data set which does not contain numerical values

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15
Q

Why is the mean the most popular measure of central tendancy?

A

The calculation uses all of the data values and is therefore truly representative of the whole set

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16
Q

What is the problem with using the mean?

A

It can be highly influenced by extreme values

17
Q

What is the median?

A

The middle point when the data set is ordered

The middle value which divides a set of ordered data into 2 halves

18
Q

How is the median found when n is an odd number and a single middle value exists (raw data and frequency distribution)?

A

1/2(n+1)

19
Q

How is the median found when n is an even number (raw data and frequency distribution)?

A

Identify the two values closest to the middle and find their average

Their positions found in an ordered set of data are found using : 1/2n and 1/2n+1

E.g. there are 6 customers in the queue for till 14, so the position of the two values closest to the middle are found usinfg 1/2(6) and 1/2(6)+1 which identifies the amount of money spent by the 3rd and 4th customers

20
Q

What formula do we apply when trying to find the median for grouped frequency distribution?

A
  • b = lower case boundary
  • f = the sum of all frequencies that occur before the median class
  • fm = the frequency of the median class
  • w = the class width of the median class
21
Q

What are the advantages of using mode?

A
  • Always easy to understand and calculate
  • Can be used for both quantitative and qualitative data
  • Unaffected by extreme values
  • Always is one of the data values in the set
22
Q

What are the advantages of using mean?

A
  • Mostly easy to understand and calculate
  • Uses all of the data values in the set
  • Provides a single response
23
Q

What are the advantages of using median?

A
  • Provides a single result
  • Is sometimes one of the data values in the set