Answer:
Q1 = 61
Q3 = 63
Step-by-step explanation:
From the plot attached :
Data obtained is :
Temperature frequency
59 0
60 2
61 3
62 3
63 4
64 2
65 1
Frequency Total 15
Data in raw format :
60,60,61,61,61,62,62,62,63,63,63,63,64,64,65
The first quartile :
Q1 = 1/4(n+1)th term
n = 15
Q1 = 1/4(15+1)th term
Q1 = 1/4 * 16th
Q1 = 4th term
Q1 = 61
Third quartile (Q3):
Q3 = 3/4(n+1)th term
n = 15
Q3 = 3/4(15+1)th term
Q3 = 3/4 * 16th
Q3 = (48/4)th term
Q3 = 12th term
Q3 = 63
Answer:
0.9990 = 99.90% probability that at least one of them will require repairs in the first seven months.
Step-by-step explanation:
For each car, there are only two possible outcomes. Either they will require repair in the first seven months, or they will not. The probability of a car requiring repair in the first seven months is independent of other cars. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
In which is the number of different combinations of x objects from a set of n elements, given by the following formula.
And p is the probability of X happening.
The probability that a certain make of car will need repairs in the first seven months is 0.9.
This means that A dealer sells three such cars.
A dealer sells three such cars.
This means that
What is the probability that at least one of them will require repairs in the first seven months?
Either none will require repairs, or at least one will. The sum of the probabilities of these events is decimal 1. So
We want P(X > 0). So
In which
Then
0.9990 = 99.90% probability that at least one of them will require repairs in the first seven months.