Suppose a random variable, x, arises from a binomial experiment with p = 0.26, n = 15. Which TI command would you use to find the probability that your random variable is at most 4? binompdf(15,0.26,4) binomcdf(15,0.26,4) binomcdf(0.26,15,3) one minus binompdf(0.26,15,3) binomcdf(15,0.26,3) binomcdf(0.26,15,4) binompdf(0.26,15,4) one minus binomcdf(0.26,15,3) one minus binompdf(0.26,15,4) one minus binomcdf(0.26,15,4) one minus binomcdf(15,0.26,4) binompdf(0.26,15,3) one minus binompdf(15,0.26,4) one minus binomcdf(15,0.26,3) one minus binompdf(15,0.26,3) binompdf(15,0.26,3) Which TI command would you use to find the probability that your random variable is 4? binomcdf(15,0.26,4) one minus binomcdf(15,0.26,3) one minus binompdf(0.26,15,3) binomcdf(15,0.26,3) one minus binomcdf(15,0.26,4) binompdf(15,0.26,4) one minus binompdf(15,0.26,4) one minus binompdf(15,0.26,3) binomcdf(0.26,15,3) binompdf(15,0.26,3) one minus binompdf(0.26,15,4) binomcdf(0.26,15,4) one minus binomcdf(0.26,15,3) one minus binomcdf(0.26,15,4) binomcdf(0.26,15,3) binompdf(0.26,15,4) Which TI command would you use to find the probability that your random variable is at least 4? one minus binomcdf(0.26,15,3) one minus binompdf(0.26,15,3) one minus binomcdf(0.26,15,4) binompdf(0.26,15,4) binomcdf(0.26,15,4) binompdf(15,0.26,4) binompdf(15,0.26,3) binomcdf(0.26,15,3) one minus binompdf(15,0.26,3) binomcdf(15,0.26,4) one minus binompdf(0.26,15,4) binomcdf(15,0.26,3) one minus binompdf(15,0.26,4) one minus binomcdf(15,0.26,4) binomcdf(0.26,15,3) one minus binomcdf(15,0.26,3)

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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.