Data Analysis Flashcards

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1
Q

Define Qualitative Data

A

Data that’s expressed in words and non-numerical methods

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2
Q

Define Quantitative data

A

Data that can be counted - often in numerical

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3
Q

What are the strengths of Qualitative Data?

A
  • Provides rich amounts of data

- Good External Validity

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4
Q

What are the limitations of Qualitative Data?

A
  • Difficult to analyse
  • Subjective to interpretations
  • Subject to bias
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5
Q

What are the strengths of Quantitative data?

A
  • simple to analyse
  • easy to compare
  • objective
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6
Q

What are the limitations of Quantitative Data?

A
  • Low external validity

- narrower in scope and meaning

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7
Q

What is Primary Data?

A

Data collected specifically for the investigation

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8
Q

What is Secondary Data?

A

Data that has been previously collected, not collected by the researcher

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9
Q

What are the strengths of Primary Data?

A
  • Authentic

- Specifically targets required information

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10
Q

What are the limitations of Primary Data?

A
  • Time-Consuming
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11
Q

What are the strengths of Secondary Date?

A
  • Easily accessed and analysed

- Desired info exists

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12
Q

What are the limitations of Secondary Data?

A
  • May be outdated/incomplete

- Content may not match needs completely

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13
Q

What are Measures of Central Tendency?

A

Averages that provide information on the most typical values in a set of data

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14
Q

What are the 3 Measures of Central Tendency?

A
  • Mean
  • Median
  • Mode
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15
Q

What are 2 aspects of the ‘Mean’?

A
  • Uses all values in a set of data, so it’s representative

- Can be distorted by extreme values

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16
Q

What are 3 aspects of the ‘Median’?

A
  • Not affected by extreme values
  • Easy to calculate
  • Not all values are included so not entirely representative
17
Q

What are 2 aspects of the ‘Mode’?

A
  • Easy to calculate

- Not representative

18
Q

What are Measures of Dispersion?

A

How far values vary and differ from each other

19
Q

What are the 2 Measures of dispersion?

A

Standard Devation

Range

20
Q

What are the aspects of ‘Range’?

A
  • Easy to calculate

- Unrepresentative, only uses the 2 extreme values

21
Q

What does the Standard Deviation show?

A

How far values have deviated from the mean

22
Q

What are some aspects of Standard Deviations?

A
  • Precise measure of dispersion

- Can be distorted by extreme values

23
Q

When is a Bar Chart used?

A

When discrete data is used (categorical)

24
Q

What are some features of a Normal Distribution?

A
  • Symmetrical

- Mean/Median/Mode occupies the highest point

25
Q

What happens when a distribution is positively skewed?

A
  • Distribution is concentrated to the left
  • Mode is at the highest point
  • Mean is at the lowest point
26
Q

What happens when a distribution is negatively skewed?

A
  • Distribution is concentrated to the right
  • Mode is at the peak
  • Mean is at the lowest point