Data Presentation Flashcards

0
Q

How to present numerical (quantitative) data?

A

Using frequency distribution (e.g histogram) and stem and leaf diagram

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1
Q

How to present qualitative data?

A

Using frequency table such as Pareto chart, pie chart and bar chart.

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2
Q

3 graphic forms of presenting frequency distribution?

A
  1. Histogram
  2. Frequency polygon
  3. Cumulative frequency distributions
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3
Q

How is frequency polygon constructed?

A

Using midpoint and frequency

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4
Q

Center

A

Middle (average) value of a data set

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5
Q

Variation

A

Values vary among themselves.

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6
Q

Distribution

A

Shape of distribution of data

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7
Q

Outliers

A

Values that lie far from vast majority

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8
Q

Time

A

Changing characteristics of data over time

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9
Q

Measures of location

A
  • Arithmetic mean
  • Weighted mean
  • Median
  • Mode
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10
Q

Measures of dispersion

A
  • range
  • standard deviation
  • mean deviation
  • variance
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11
Q

Properties of arithmetic mean

A
  • mean is affected by large or small values

* sum of deviations of each value is 0

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12
Q

Elements of central tendency

A

Mean, median, mode

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13
Q

Elements of variation

A

Range, variance, standard deviation

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14
Q

Right skewed distribution

A

Positive, mean > median

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15
Q

Left skewed distribution

A

Negative, mean < median

16
Q

Why measure dispersion?

A

To determine spread of data

17
Q

What does inferential statistics involves? State it’s purpose.

A

Involves: estimation, hypothesis testing

Purpose: make decisions