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Let X1,,XmX _ { 1 } , \ldots \ldots , X _ { m }

question 56

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Let X1,,XmX _ { 1 } , \ldots \ldots , X _ { m } be a random sample from a normal distribution with variance σ12, let Y1,,Yn\sigma _ { 1 } ^ { 2 } , \text { let } Y _ { 1 } , \ldots \ldots , Y _ { n } be another random sample (independent of the X2s) \left. X _ { 2 } ^ { \prime } s \right) from a normal distribution with variance σ22, and letS12 and S22\sigma _ { 2 } ^ { 2 } , \text { and } \mathrm { let } S _ { 1 } ^ { 2 } \text { and } S _ { 2 } ^ { 2 } denote the two sample variances. Which of the following statements are not true?


Definitions:

Prevalence

Prevalence refers to the proportion of a particular population found to be affected by a specific condition at a given time.

Psychological Assessment

The process of testing that uses a combination of techniques to help arrive at some hypotheses about a person and their behavior, personality, and capabilities.

Psychological Testing

The process of administering standardized assessments designed to evaluate an individual's cognitive, emotional, or personality characteristics.

Clinical Significance

An attribute of research results, referring to the practical utility of the treatment studied, which does not follow automatically from the results’ statistical significance.

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