Answer:
1c2a
Explain:
16^3 is 4096, and 16^2 is 256.
Answer:
If we use the probability mass function we got:
Step-by-step explanation:
Previous concepts
The Poisson process is useful when we want to analyze the probability of ocurrence of an event in a time specified. The probability distribution for a random variable X following the Poisson distribution is given by:
Solution to the problem
Let X the random variable that represent the number of students arrive at the office hour. We know that
The probability mass function for the random variable is given by:
And f(x)=0 for other case.
For this distribution the expected value is the same parameter
And we want this probability:
If we use the probability mass function we got:
Answer: 850,000
845,001. To the nearest 10,000, it would be 850,000 since 5,001 rounds up to 10,000, not 0.
Answer:
yes, your right!
Step-by-step explanation:
Answer:
two quadratic functions combined by addition
a linear function and a quadratic function combined by addition
two linear functions combined by multiplication
Step-by-step explanation:
-3x² + 5
(-4x² + 4) + (x² + 1)
-3x² + 5
(-3x² - x) + (x + 5)
-3x² + 5
(sqrt(5) - sqrt(3)x)(sqrt(5) + sqrt(3)x)