Use the following information to answer the question. A researcher wants to study whether there is a relationship between car color and whether the driver received a speeding ticket. Below is the R output produced from the data. > chisq. test(data) Pearson's Chi-squared test data: data X-squared - 8.8611, df - 6, p-value = 0.1815 If the significance level is 5%, what conclusion can we make? We do not have enough evidence to conclude that there is a relationship between car color and whether the driver received a ticket. We have enough evidence to conclude that red cars received more speeding tickets than all other car colors. We have enough evidence to conclude that there is a relationship between car color and whether the driver received a ticket. cannot determine

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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.