Deviation from statistical norms

What type of data do you need in order to apply this definition of abnormality?

• Qualitative
• Nominal
• Quantitative

What does the central line on the normal distribution curve represent?

• mean
• standard deviation
• range

What percentage of the population score within one standard deviation above and below the mean?

• 95%
• 14%
• 68%
• 50%

95% score between two standard deviations above and below the mean and they are classed as

• normal
• abnormal

A z score of +2 would be classed as

• normal
• abnormal

A z score of -3 would be classed as 

• normal
• abnormal

One strength of this definition of abnormality is that it is

• generalisable
• objective
• subjective
• credible

Another strength of this definition of abnormality is that..

• it relies on the subjective opinion of the person being assessed
• it distinguishes between socially desirable and undesirable traits
• it is ethnocentric
• t can be used to prioritise people for treatment

One limitation of this definition is

• socially desirable but rare traits are labelled as abnormal
• people with rare traits may be overlooked
• it is difficult to detemrine whether someone should be classified as abnormal
• it is rarely applied reliably

Another limitation of this definition is that it may result in

• patients feeling that doctors aren't taking them seriously
• unfair advantage to people from ethnic minorities
• labelling people who need support as being normal becasue they don't score high or low enough on the test
• exaggeration of the number of people who need help