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Tom [10]
3 years ago
13

The number of customers in a line at a supermarket express checkout counter is a random variable with the following probability

distribution. x 0 1 2 3 4 5 P(x) 0.09​ 0.26​ 0.29​ 0.20​ 0.09​ 0.07​ Find P(2 or fewer).
Mathematics
2 answers:
lubasha [3.4K]3 years ago
7 0

Answer:

probability (x ≤2) = 0.64

Step-by-step explanation:

P(2 or fewer) = probability of 2 or fewer

probability of (2 or fewer) = probability (x ≤2)

probability of (2 or fewer) = probability when x is 0 + probability when x is 1 + probability when x is 2

probability of (2 or fewer) = probability (x =0) + probability of (x =1 ) + probability (x= 2)

probability of (x=0) = 0.09​

probability of (x=1) = 0.26​ ​

probability of (x =2) = 0.29

probability of (2 or fewer) = 0.09​ + 0.26​ + 0.29​ = 0.64

probability (2 or fewer) = probability (x ≤2) = 0.64

Irina18 [472]3 years ago
5 0

Answer:

P(X \leq 2)= P(X=0) +P(X=1)+P(X=2)

And replacing we got:

P(X \leq 2)= 0.09 +0.26+0.29 = 0.64

And the probability that X would be 2 or lower is 0.64

Step-by-step explanation:

For this case we have the following probability distribution:

x         0       1       2       3         4      5

P(x) 0.09 0.26  0.29  0.20  0.09  0.07

And we want to find the following probability:

P(X \leq 2)

And we can find the probability like this:

P(X \leq 2)= P(X=0) +P(X=1)+P(X=2)

And replacing we got:

P(X \leq 2)= 0.09 +0.26+0.29 = 0.64

And the probability that X would be 2 or lower is 0.64

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kotykmax [81]

Question:

According to Masterfoods, the company that manufactures M&M's, 12% of peanut M&M's are brown, 15% are yellow, 12% are red, 23% are blue, 23% are orange and 15% are green. You randomly select peanut M&M's from an extra-large bag looking for a red candy.

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Step-by-step explanation:

To solve the question, we note that the statistical data presents a geometric mean. That is the probability of success is of the form.

The amount of repeated Bernoulli trials required before n eventual success outcome or

The probability of having a given number of failures before the first success is recorded.

In geometric distribution, the probability of having an eventual successful outcome depends on the the completion of a certain number of attempts with each having the same probability of success.

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1/p = 1/0.12 or 25/3 or 8.33.

4 0
3 years ago
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