Answer:
Step-by-step explanation:
8x4
Answer:
P(X<3) = 0.01004
Step-by-step explanation:
From the given information:
Consider the application of Poisson distribution 
with the parameter 
;
Therefore, we can calculate the required probability as follows:
P(X< 3) = P(X = 0) + P(X = 1) + P(X =2)
P(X<3) = 0.01004
16.22÷2=8.11
8.11*6=48.66
So they would cost $48.66
Hope this helps!
Answer:
The probability that the bottle contains fewer than 12.38 ounces of beer
P(x < 12.38) = 0.00621
Step-by-step explanation:
This is a normal distribution problem with
Mean = μ = 12.48 ounces
Standard deviation = σ = 0.04 ounces
The probability that the bottle contains fewer than 12.38 ounces of beer
P(x < 12.38)
To solve this, we need to first normalize/standardize 12.38
The standardized score for any value is the value minus the mean then divided by the standard deviation.
z = (x - μ)/σ = (12.38 - 12.48)/0.04 = -2.50
To determine the probability that the bottle contains fewer than 12.38 ounces of beer
P(x < 12.38) = P(z < -2.50)
We'll use data from the normal probability table for these probabilities
P(x < 12.38) = P(z < -2.50) = 0.00621
Hope this Helps!!!
Answer:
x<-5 . All you have to do is pemdas which is parentheses,exponents, multiplication, division, addition and subtraction
