Answer:
The transformation is a clockwise rotation of 90 degrees about the origin
Step-by-step explanation:
(m, 0) is a point on the positive x axis and (0, -m) is a point on the negative y axis which is the same distance from the origin as
(m,0)
The transformation is a clockwise rotation of 90 degrees about the origin
Let's start by going left to right:
50000/50000 * 600 * 700.
50000/50000 cancels each other out so it's 1.
1 * 600 * 700.
600 * 700 = 420000
1 * 420000 = 420000
Answer:
x = 7
Step-by-step explanation:
The equation of a vertical line has equation of the form
x = c
where c is the value of the x- coordinates the line passes through.
The line passes through (7, - 3) with x- coordinate 7 , thus
x = 7 ← equation of vertical line
Answer:
h=(A/2tr)-r
Step-by-step explanation:
A=2tr(r+h)
A/2tr=r+h
h=(A/2tr)-r
Answer:
Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:
Where and
From the central limit theorem we know that the distribution for the sample mean is given by:
Part a
The mean is
Part b
And the deviation:
Step-by-step explanation:
Assuming this complete info: Suppose a random variable xx is normally distributed with μ=17 and σ=5.6. According to the Central Limit Theorem, for samples of size 13:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
Solution to the problem
Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:
Where and
From the central limit theorem we know that the distribution for the sample mean is given by:
Part a
The mean is
Part b
And the deviation: