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What is interpolation

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1

What is interpolation

The process of estimating medians, quartiles, and percentiles in a grouped frequency table. Assuming the data values are equally distributed within each class.

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2

Q1

  • n/4th data value

  • Lower quartile

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3

Q2

  • n/2th data value

  • Median value

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4

Q3

  • 3n/4th data value

  • Upper quartile

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5

Interquartile range

Q3 - Q1

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6

Interpolation formula

(x - x1)/(x2 - x1) = (y - y1)/(y2 - y1)

<p>(x - x1)/(x2 - x1) = (y - y1)/(y2 - y1)</p>
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7

What is a measure of location?

A single value which describes a position in a data set.

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8

What is a measure on central tendency?

a single value which describes the central position in a data set.

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9

When is it best to measure mode?

When data is qualitative or quantitative with either a single mode or bimodal. Not very informative if each value only occurs once.

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10

When is it best to measure median?

Used for quantitative data, best for extreme values because they do not affect it.

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11

When is it best to measure mean?

Used for quantitative data and uses all pieces of data, therefore gives a true measure of data. It is affected by extreme values.

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12

Calculate mean for data in a frequency table?

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

<p>sum of products of data values and their frequencies/sum of the frequencies</p>
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13

What is qualitative data?

Data that is written in words, descriptive or interpreted with language.

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14

What is quantitative data?

Data that is written in numbers, countable and measurable.

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15

What is discrete data?

Numerical data that can only take certain values e.g. shoe size

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16

What is continuous data?

Numerical data that can take any value within a given range e.g. heights of some adults

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17

What are examples of measures of location

  • mean, median, mode

  • quartiles

  • percentiles

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18

What are examples of measures of spread

  • range

  • interquartile range

  • interpercentile range

  • variance and standard deviation

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