Maths skills Flashcards

1
Q

What is a strength of the mean?

A
  • Most accurate and sensitive measure
  • Takes all scores into account
  • Needed if want to work out the standard deviation.
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2
Q

What is a weakness of the mean?

A

Can be affected by outliers/ extreme scores.

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3
Q

What is a strength of the mode?

A

Unaffected by outliers/ extreme scores.

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4
Q

What is a weakness of the mode?

A

Not as accurate as only takes into account the scores most commonly used.

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5
Q

What is a strength of the median?

A

Unaffected by outliers/ extreme scores

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6
Q

What is a weakness of the median?

A

Not as accurate as only takes into account the middle score

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7
Q

What is an advantage and disadvantage of range?

A

Advantages: Easy to calculate.

Disadvantages: May be affected by extreme scores. Does not indicate how widely or tightly spread the data are. Does not use all pieces of data.

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8
Q

What is standard deviation?

A

1 - Calculate the mean of the data set.
2 - Take the mean away from each score in the data set.
3 - Square each difference.
4 - Add together each of the squared differences
5 - Divide this by n-1 (the number of scores in your data set - 1)
6 - Find the square root of this value/

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9
Q

Advantages of standard deviation…

A
  • Precise measure of dispersion as all exact values are taken into account
  • Not difficult to calculate with a calculator
  • Highlights if the mean is suitable
  • Less affected by extreme scores compared to the range
  • Used for further analysis - skew of distribution
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10
Q

Disadvantages of standard deviation?

A
  • Can only be used for normally distributed data
  • Only for ordinal or above (interval/ratio)
  • May hide some characteristics of data set (extreme values)
  • Harder to calculate than the range
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11
Q

What is a normal distribution graph?

A

A symmetrical spread of frequency data that forms a bell-shaped pattern.
- The mean, mode and median are at the highest peak.
- The tail end never touches the x axis.

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12
Q

How can you check if a distribution is normal?

A

1 - See if most scores are centered around the mean.
2 - Calculate the measures of central tendency (calculate the mean, mode and median to see if they’re similar).
3 - Plot the frequency of the distribution.

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