Oh how I miss the days when math was as simple as 2+2=4.
Educated guess here: By putting parentheses.
Answer:
24
Step-by-step explanation:
i used calculator. it is so easy
Answer:
10000*0.6065=6065
A. about 6,065
Step-by-step explanation:
Definitions and 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:
And the parameter represent the average ocurrence rate per unit of time.
For this distribution the expected value is the same parameter
, ,
Solution to the problem
We want "how many would have no blemishes" so first we need to find the probability that X=0, since X represent on this case the number of blemishes on each door. And if we use the mass function we got this:
And now since we have a total of 10000 doors painted we can find how many we would expect with no blemishes:
10000*0.6065=6065
A. about 6,065
Answer:
I am not sure , but my answer would be 42.5° .
Answer: X = -4
Step-by-step explanation: Isolate the variable by dividing each side by factors that don't contain the variable.