data analysis: descriptive statistics Flashcards

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1
Q

What are descriptive statistics?

A

Are used to summarise and analyse quantitative data in order to draw conclusions

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1
Q

What are measures of central tendency?

A

General term for any measure of the average value in a set of data ( mean , mode and median)

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2
Q

What is the mean?

A

Arithmetic average
- done by adding up all the numbers & dividing by how many there are

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3
Q

What are the strengths of the mean?

A
  • includes all score which is the most sensitive and most representative
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4
Q

What are the weaknesses of the mean

A

easily distorted by extreme values

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5
Q

What is the mode?

A

most frequently occurring value

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6
Q

What are the strengths of the mode?

A

easy to calculate

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7
Q

What are the weaknesses of the mode

A

not very representative as a whole

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8
Q

What is the median?

A

central value when values are arranged from lowest to highest

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9
Q

What are the strengths of the median

A
  • not affected by extreme scores
  • easy to calculate
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10
Q

What are the weaknesses of the median

A
  • less sensitive than the mean which means it doesn’t use all the data
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11
Q

What are measures of dispersion?

A

any measure of the spread or variation in a set of scores

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12
Q

What is the range?

A

highest and lowest number subtracted

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13
Q

What are the strengths of the range?

A
  • easy to calculate
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14
Q

What are the weaknesses of the range?

A

only considers 2 extreme scores which is unrepresentative of the spread of scores

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15
Q

What is standard deviation?

A

how much scores deviate from the mean

16
Q

What are the strengths of standard deviation??

A

much more precise than the range as it includes all the values

17
Q

What are the weaknesses of standard deviation??

A

can be distorted by any extreme values

18
Q

What is a normal distribution curve?

A

mean , mode and median are all at the same point

19
Q

What is a skewed distribution - positive skew?

A

the mean is higher than the mode and median

20
Q

What is a skewed distribution - positive skew?

A