Maths skills Flashcards
What is a strength of the mean?
- Most accurate and sensitive measure
- Takes all scores into account
- Needed if want to work out the standard deviation.
What is a weakness of the mean?
Can be affected by outliers/ extreme scores.
What is a strength of the mode?
Unaffected by outliers/ extreme scores.
What is a weakness of the mode?
Not as accurate as only takes into account the scores most commonly used.
What is a strength of the median?
Unaffected by outliers/ extreme scores
What is a weakness of the median?
Not as accurate as only takes into account the middle score
What is an advantage and disadvantage of range?
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.
What is standard deviation?
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/
Advantages of standard deviation…
- 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
Disadvantages of standard deviation?
- 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
What is a normal distribution graph?
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.
How can you check if a distribution is normal?
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.