The statistical definition of abnormality Flashcards
What is the definition of abnormality
By definition, abnormality means deviating from the norm or average.
Statistically infrequent behaviour is…?
abnormal
Statistically frequent behaviour is…?
normal
How is the normal distribution curve made?
It is made by individual characteristics being measured (eg mood, intelligence) and then the distribution of these characteristics within the population will be graphed.
On a normal distribution curve, where are the majority of people and what are they defined as?
The majority of people are in the middle and they are defined as normal.
On a normal distribution curve, where are the minority of people and what are they defined as?
Few people fall at either end and so are defined as abnormal.
How is the spread measured?
The spread is measured by standard deviation.
Where does 68% of the population fall?
Between 1SD either side of the mean
What percentage of the population fall between 1SD either side of the mean?
68% of the population.
Where does 95% of the population fall?
Between 2SD either side of the mean
What percentage of the population fall between 2SD either side of the mean?
95% of the population.
What percentage of the population fall below and above 2SD? Thus, what are they considered?
2.5% of the population. Thus they are considered abnormal.
Where does 2.5% of the population fall? Thus, what are they considered?
Below and above the 2SD. Thus they are considered abnormal.
Evaluate in terms of objectivity. (strength)
On strength is that the graph is based upon quantitative data, eg scored on a depression test. The data is therefore viewed as more objective and more scientific. Also does not require personal interpretations, therefore objective and valid.
Give an example what could be plotted on a normal distribution curve.
Eg, Normal people eat an average of between 1500 to 3000 cals per day, while anorexics consume very few and bulimics consume lots - making their behaviour abnormal.