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by making you're statiscitcs accurate and not confusing if you're statiscitcs are confusing then people will not want them or if they are incorrect
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• Genetic analysis - Statistics is used in frequency estimation of genes and consanguinity rates in population. It is useful in many genetic studies related to mental illness.
• Biometric methods - Statistics helps in determining significance of deviations from normalcy, observed in mental illness cases. Variance is found to be high in abnormal cases.
• Actuarial - Data related to age, diagnoses, length of psychiatric treatment help in understanding scope of mental health services.
Statistics can sometimes create misunderstanding among professionals and researchers. One such example could be misunderstanding correlation. Suppose there is positive correlation between mental illness and smoking marijuana. This correlation can result in misunderstanding that smoking marijuana causes mental illness. Correlation can not be used to establish cause and effect.
Statistics should be used cautiously and accurately to avoid misunderstanding. Interpretation from data should be made with wisdom. Correlation should be used for reference purposes only and not considered for cause effect relations. Data should be handled professionally and inference should be made by experienced person with proper expertise.
Hence, statistics is used in improving mental health services but it can also create confusion and misunderstanding if not handled properly.
Conclusion - Statistics is science dealing with data. It is used in betterment of mental health services. Sometimes wrong interpretation of data can lead to misunderstanding which must be avoided inorder to obtain accurate results. Statistics is widely used in research and treatment in psychiatry.
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