A study is made for particular allergy medication in order to determine the length of relief it provides, y (in hours), in relation to the dosage of medication, x (in mg). For this reason, ten patients were given different doses of the medication and were asked to report back when the medication seemed to wear off.
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.
A study is made for particular allergy medication in order to determine the length of relief it provides, y (in hours), in relation to the dosage of medication, x (in mg).
For this reason, ten patients were given different doses of the medication and were
asked to report back when the medication seemed to wear off.

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