Answer:
The correct answer is:
Poisson (A.)
Step-by-step explanation:
A Poisson distribution is used to model the number of events occurring within a given time interval, when the average number of times that the event occurs within the time interval is given.
Lambda ( λ ) is a rate parameter in Poisson's distribution, and it is used to represent "event/time", and it simply represents <em>the expected number of events in the interval.</em>
Answer:
x=7
Step-by-step explanation:
4x+12=40
-12
4x=28/4
Answer:
y=-3x
Step-by-step explanation:
I think c I might be wrong tho :)
Answer:
The answer is below
Step-by-step explanation:
a) For a normal model the sample size has to be equal or greater than 30 so that it can be a normal distribution.
b) Given that:
μ = 11.2 minutes, σ = 4.8 minutes, n = 45
The z score determines how many standard deviations the raw score is above or below the mean. It is given by:
For x < 10 minutes
Therefore from the normal distribution table, P(x < 10) = P(z < -1.68) = 0.0465
