The probability of buying a movie ticket with a popcorn coupon is 0.629 and without a popcorn coupon is 0.371. if you buy 29 movie tickets, we want to know the probability that more than 16 of the tickets have popcorn coupons. consider tickets with popcorn coupons as successes in the binomial distribution. give the numerical value of the parameter p in this binomial distribution scenario.

The probability and the parameter

Step-by-step explanation:

The formula for probability  in a binomial distribution is:

where p is the probability of success (ticket with popcorn coupon), n is the number of trials (tickets bought) and x the number of successes desired. In this case p=0.629 (probability of buying a movie ticket with coupon), n=29,  and x=17,18,19, ...29.

The probability of more than 16 is equal to the sum of the probability of x=17, 17,18,19, ...29.

the data of the detroit pistons in numerical order from least to greatest is 0.30, 0.37, 0.55, 0.62, 0.69, 0.72, 0.73, 0.75, 0.77, 0.78, 0.80, 0.81, 0.81, 0.83, 0.84, 0.89

the data of the miami heat in numerical order from least to greatest is 0.50, 0.50, 0.56, 0.57, 0.67, 0.72, 0.72, 0.72, 0.75, 0.75, 0.76, 0.81, 0.82, 0.90, 1.00, 1.00

the detroit pistons median : 1.52

the miami heat median: 1.47

the iqr of this data is 0.05