The determined value of mean µ is 1.3 and variance σ² is 0.81.
What is mean and variance?
- A measurement of central dispersion is the mean and variance. The average of a group of numbers is known as the mean.
- The variance is calculated as the square root of the variance.
- We can determine how the data we are collecting for observation are dispersed and distributed by looking at central dispersion.
The table is attached as an image for reference.
Mean µ = ∑X P(X)
µ = 1.3
Variance (σ² ) = ∑ X² P(X)- (µ)²
= 2.5-(1.3)²
(σ² ) = 0.81
The determined value of mean µ is 1.3 and variance σ² is 0.81.
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Tell Landon to bring back the book and he won't owe any moneyyyyy ;DDd
Because
the library charges late fees as well.
Answer:
-54
Step-by-step explanation:
Find f( - 3) × g(4),
for f(x) = x^ - 3
f(-3) = -3^ - 3= -3 × -3 × -3= -27
and g(x) = x^½
g(4) = 4^½ = 2^2^½ = 2 ^1 = 2
f( - 3) × g(4) = -27 ×2 = -54