Answer:
0.048 is the probability that more than 950 message arrive in one minute.
Step-by-step explanation:
We are given the following information in the question:
The number of messages arriving at a multiplexer is a Poisson random variable with mean 15 messages/second.
Let X be the number of messages arriving at a multiplexer.
Mean = 15
For poison distribution,
Mean = Variance = 15
From central limit theorem, we have:
where n is the sample size.
Here, n = 1 minute = 60 seconds
P(x > 950)
Calculation the value from standard normal z table, we have,
0.048 is the probability that more than 950 message arrive in one minute.
Answer: 30 % Off
Step-by-step explanation:
Find min
min is 1.5-0.2=1.3cm
max is 0.2+1.5=1.7cm
so it would be a graph from 1.3cm to 1.7cm
like below
It is (13 + 34), (43 + 4). Hope this helps!!! It couldn’t be the other ones because they don’t include all of the numerals.
Answer: Hello!
Ok, because the bulbs are wired in series, then if only one fails, all the string fails.
Then we need to see the probability for the 20 bulbs to not fail.
If the probability for each bulb to fail is 0.02, then the complement (or the probability of working fine) is 1 - 0.02 = 0.98
then we have 20 bulbs, and each one has a probability of 0.98 of working alright, then the probability for all them to work alright is the multiplication of this probabilities, this is
= 0.6676
rounded up in the decimal, we have 0.668
then the correct answer is c.
