Answer:
-0.01851851851
Step-by-step explanation:
Answer:
Step-by-step explanation:
Transformation from figure 1 to figure 2,
Translation of figure 1 by 6 units to the left.
Transformation of figure 1 to figure 3,
Reflection of figure 1 across y-axis.
Transformation from figure 1 to figure 4,
Translation of figure 1 by 6 units to the left and 4 units down.
Transformation from figure 1 to figure 5,
Translation of figure 1 by 3 units left and 6 units down.
Transformation from figure 1 to figure 6,
Reflection of figure 1 across x-axis.
Answer:
x = 6
x = 1
Step-by-step explanation:
(3x² - 2x + 5) - (2x² - 5x + 1)
= 3x² - 2x² - 2x - 5x + 5 + 1
= x² - 7x + 6
= (x - 6)(x - 1)
x - 6 = 0
x = 6
x - 1 = 0
x = 1
675.00/1650.00 = 0.4090...
(0.4090)(100) = 40.9
The answer is C. 40.9%.
Answer:
tex]M=\beta ln(2)[/tex]
Step-by-step explanation:
Previous concepts
The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate).
Solution to the problem
For this case we can use the following Theorem:
"If X is a continuos random variable of the exponential distribution with parameter for some "
Then the median of X is
Proof
Let M the median for the random variable X.
From the definition for the exponential distribution we know the denisty function of X is given by:
Since we need the median we can put this equation:
If we evaluate the integral we got this:
And that's equal to:
And if we solve for M we got:
If we apply natural log on both sides we got:
And then