We are given vertices of the triangle DEF as:
D(3, 3) , E(3, −1) , and F(−2, −5) .
Let us plot those points on the graph.
Formula of area of the triangle with vertices (x1,y1), (x2,y2) and (x3,y3).
Area = 1/2 [ (x2-x1)(y3-y1)-(x3-x1)(y2-y1)]
We have x1=3, x2=3, x3=-2, y1=3, y2 =-1 and y3 = -5.
Plugging values in formula, we get
Area = |1/2 [ 3-3)(-5-3)-(-2-3)(-1-3)]|
= |1/2 [ 0(-8) - (-5)(-4)]|
=| 1/2 [0 - 20]|
= |-10|
=10.
<h3>Therefore, area of the triangle with given vertices is 10 square units.</h3>
Answer:
The slope is 1/2
Step-by-step explanation:
To find the slope you use the formula rise/run
The rise is the second y coordinate minus the first y coordinate
The run is the second x coordinate minus the first y coordinate
Step one:
Take 2 points: I used (2,1) and (4,2)
Step two:
Use the formula
2-1/4-2
The answer is the slope of the line
The slope is 1/2
Answer:
Volume = 8 * 3.5 * 14.5 =
406 cubic feet
.65 pounds / cubic foot * 406 =
263.9 pounds
Step-by-step explanation:
Me neither. I used to know, good luck!
Answer:
Let X the random variable that represent the number of children per fammili of a population, and for this case we know the following info:
Where and
We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean is given by:
And for this case the standard error would be:
Step-by-step explanation:
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 Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations 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 number of children per fammili of a population, and for this case we know the following info:
Where and
We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean is given by:
And for this case the standard error would be: