No because it would be 7/6 which is not proportional.
Answer:
1.691
Step-by-step explanation:
Standard error of the mean is expressed as SEM = S/√n
S is the population standard deviation
n is the sample size (number of observation)
Given S = 27 and n = 255
SEM = 27/√255
SEM = 27/15.97
SEM = 1.691
Hence the standard error of the mean is 1.691
<span>-15r + 3(2s - 4r)
=</span><span>-15r + 6s - 12r
= -27r + 6s
or
= 6s - 27r</span>
Answer:
8.48528137423857
Step-by-step explanation:
The square root of 72 is 8.48528137423857 because Finding the square root of a number is the inverse operation of squaring that number. Remember, the square of a number is that number times itself. The perfect squares are the squares of the whole numbers. The square root of a number, n, written below is the number that gives n when multiplied by itself.
I hope this has satisfied you, and if not, then feel free to ask any question.
The question is incomplete! The complete question along with answer and explanation is provided below.
Question:
In applying the Poisson probability distribution formula, P(x) equals μx•e−μx!
Briefly describe what the symbol mu represents. Choose the correct answer below.A.The symbol mu is a variable that represents the area of each region.B.The symbol mu is a variable that represents the number of occurrences of the event in an interval.C.The symbol mu is a variable that represents the number of occurrences of the event.D.The symbol mu represents a static value.E.The symbol mu is a variable that represents the mean number of occurrences of the event in the intervals.
Answer:
μ is a variable that represents the mean number of occurrences of the event in the intervals.
Step-by-step explanation:
The Poisson distribution is often used to model the number of occurrences of an event in a certain interval.
P(x, μ)
Where the symbol mu (μ) represents the mean number of occurrences of an event x in a specified interval and the variable x represents a static value.
Therefore, the correct answer is option E, μ is a variable that represents the mean number of occurrences of the event in the intervals.
