The probability that a new car selected at random needs a warranty repair is 0.04.
A contingency table is known to be one that tends to show the possible outcomes in a lot of numbers spread that is spread in a table, for the different kinds of "contingencies" (i.e. possible outcomes).
This often show a percentage or a proportion and even a number in regards to all of the outcomes.
There is a 0.04 probability that in regards to the question, a new car will demand a warranty repair. This information is shown from the table attached.
Hence, The probability that a new car selected at random needs a warranty repair is 0.04.
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Each year, ratings are compiled concerning the performance of new cars during the first 90 days of use. Suppose that the cars have been categorized according to whether a car needs warranty-related repair (yes or no) and the country in which the company manufacturing a car is based (United States or not United States). Based on the data collected, the probability that the new car needs a warranty repair is 0.04, the probability that the car was manufactured by a U.S.-based company is 0.60, and the probability that the new car needs a warranty repair and was manufactured by a U.S.-based company is 0.025. Construct a contingency table to evaluate the probabilities of a warranty-related repair. What is the probability that a new car selected at random
a. needs a warranty repair?
b. needs a warranty repair and was manufactured by a U.S.- based company?
c. needs a warranty repair or was manufactured by a U.S.- based company?
