The degree of clinical agreement among physicians on the presence or absence of generalized lymphadenopathy was assessed in 32 randomly selected participants from a prospective study of male sexual contacts of men with acquired immunodeficiency syndrome (AIDS) or an AIDS-related condition (ARC). The total number of palpable lymph nodes was assessed by each of three physicians. Results from two of the three physicians are presented in the table attached. Determine whether there is a systematic difference between the assessments of Doctor A vs. Doctor B using 1% level of significance. 1. What is the appropriate test that should be conducted to determine significance of difference? 2.Determine the correct hypotheses? 3.What is the computed test statistic? 4.What decision can be made if the alpha and the p-value are compared? 5. What conclusion may be formed based on the decision above?
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
The degree of clinical agreement among physicians on the presence or absence of generalized lymphadenopathy was assessed in 32 randomly selected participants from a prospective study of male sexual contacts of men with acquired immunodeficiency syndrome (AIDS) or an AIDS-related condition (ARC). The total number of palpable lymph nodes was assessed by each of three physicians. Results from two of the three physicians are presented in the table attached. Determine whether there is a systematic difference between the assessments of Doctor A vs. Doctor B using 1% level of significance.
1. What is the appropriate test that should be conducted to determine significance of difference?
2.Determine the correct hypotheses?
3.What is the computed test statistic?
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