Mean- When you add up all the numbers and divide them by the number of scores. Or add up the total number of clients.

Pros- You can find the exact mid-point of the data.
Cons- The results can be distorted due to the atypical values.

Medium- Is the middle number, i.e. the client or their views, and if there are two middle numbers then you would add up the two middle numbers and divide it by two to get the exact middle number.

Pros- It is easy to calculate.
Cons – Again due to the uncommon values the figures can be heavily distorted, giving less accurate results.

Mode- Is the result that occurs most often.

Pros- It is unaffected by atypical values, and it is easy to calculate the results.
Cons- It does not take into account if there …show more content…
This would give you the range of the scores. i.e. 20 being the highest minus 2 being the lowest number and therefore the range would be 18.

Pros- It can be easy to calculate.
Cons- The results can be distorted due to extreme values, and this can have a negative impact on the range.

Z scores- The z score, also knows as a ‘standard score’ is a very useful statistic because it allows you to calculate the probability of a scores occurring within our normal distribution.

The value of z represents the distance between the raw score and the population mean in units of the standard deviation. The z is a negative when the raw score is below the mean, but a positive when the z is above the mean.

Pros- score’ is a very useful statistic because it allows you to calculate the probability of a scores occurring within our normal distribution. It allows you to compare two raw scores that are from different tests.

Cons- Predictions about the future are never 100% accurate, and that they always assume a normal distribution, when it may not be as accurate.

Standard deviation – is a measuring how much the members of a group differ from the mean value for the group. The most common scores are recorded, but the scores from either end of the scale can be