Answer: Part A: Which point represents the origin?
Step-by-step explanation:
Part B: Starting from the origin, explain how to plot the following three points accurately:
(−1, 1)
(1, −1.5)
(2, fraction 1 over 4 )
Answer: The individual has <u>27.056</u> pounds of body fat<em> to be exact</em>, and <em>rounded to the nearest tenth</em> is <u>27.1</u> lbs of body fat.
Answer:
The weight that separate the top 8% by 5.2605 and the weight that separate bottom 8% by 5.1195.
Step-by-step explanation:
We are given that
Mean,![\mu=5.19](https://tex.z-dn.net/?f=%5Cmu%3D5.19)
Standard deviation,![\sigma=0.05](https://tex.z-dn.net/?f=%5Csigma%3D0.05)
We have to find the two weights that separate the top 8% and the bottom 8%.
Let x1 and x2 the two weights that separate the top 8% and the bottom 8%.
Z-value for p-value =0.08 =![-1.41](https://tex.z-dn.net/?f=-1.41)
For 8% bottom
![Z=\frac{x_1-\mu}{\sigma}=-1.41](https://tex.z-dn.net/?f=Z%3D%5Cfrac%7Bx_1-%5Cmu%7D%7B%5Csigma%7D%3D-1.41)
![\frac{x_1-5.19}{0.05}=-1.41](https://tex.z-dn.net/?f=%5Cfrac%7Bx_1-5.19%7D%7B0.05%7D%3D-1.41)
![x_1-5.19=-1.41\times 0.05](https://tex.z-dn.net/?f=x_1-5.19%3D-1.41%5Ctimes%200.05)
![x_1=-1.41\times 0.05+5.19](https://tex.z-dn.net/?f=x_1%3D-1.41%5Ctimes%200.05%2B5.19)
![x_1=5.1195](https://tex.z-dn.net/?f=x_1%3D5.1195)
For 8% top
p-Value=1-0.08=0.92
Z- value=1.41
Now,
![\frac{x_2-5.19}{0.05}=1.41](https://tex.z-dn.net/?f=%5Cfrac%7Bx_2-5.19%7D%7B0.05%7D%3D1.41)
![x_2-5.19=1.41\times 0.05](https://tex.z-dn.net/?f=x_2-5.19%3D1.41%5Ctimes%200.05)
![x_2=1.41\times 0.05+5.19](https://tex.z-dn.net/?f=x_2%3D1.41%5Ctimes%200.05%2B5.19)
![x_2=5.2605](https://tex.z-dn.net/?f=x_2%3D5.2605)
(x1,x2)=(5.1195,5.2605)
Answer:
Step-by-step explanation:
it is increasing in ![]-\infty;3/2]](https://tex.z-dn.net/?f=%5D-%5Cinfty%3B3%2F2%5D)
because this is like
![f(x)=ax^2+bx+c](https://tex.z-dn.net/?f=f%28x%29%3Dax%5E2%2Bbx%2Bc)
where a > 0
and -b/a=3/2
<u>If the </u><u>data presentation</u><u> in Exercise 2 is varied by organizing the data into classes, the data presentation is called a </u><u>grouped frequency distribution </u><u>. If one class in such a distribution is 80-89, the lower class limit is 80 and the upper class limit is 89.</u>
What is the formula for grouped frequency distribution?
- A grouped frequency distribution shows the scores by grouping the observations into intervals and then lists these intervals in the frequency distribution table.
- The intervals in grouped frequency distribution are called class limits.
What is the formula for grouped frequency distribution?
- In other words, the mean for a population can be found by dividing ∑ m f by , where is the midpoint of the class and is the frequency.
- As a result, the formula μ = ∑ m f N can be written to summarize the steps used to determine the value of the mean for a set of grouped data.
Learn more about grouped frequency distribution
brainly.com/question/4679134
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<u>The complete question is - </u>
If the data presentation in Exercise 2 is varied by organizing the data into classes, the data presentation is called a ______________. If one class in such a distribution is 80-89, the lower class limit is 80 and the upper class limit is 89.