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monitta
3 years ago
7

What is the slope of the line? y + 5 = 2(x + 1) A. 1/5 B. 2/5 C. 2 D. 1/2

Mathematics
2 answers:
Zinaida [17]3 years ago
7 0

Answer:

it's 2

Step-by-step explanation:

hope this helps you.

meriva3 years ago
3 0
The correct answer is C.
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Three students were reading the same novel. . Roman read 3/5 of the novel.
Valentin [98]

9514 1404 393

Answer:

  Syed

Step-by-step explanation:

Expressed as decimal numbers, the portions read were ...

  • Roman: 3/5 = 0.60
  • Sayed: 17/25 = 0.68
  • Felix: 0.63
  • Raymond: 17% = 0.17

Syed read the most.

8 0
3 years ago
1. Determine the median of this data set.
Simora [160]
1) When finding a median, order your numerical list from smallest to larger, as so: 2,2,3,4,5,6,8,9.
2) Then start eliminating numbers from each side of the order; (The bolded numbers will be removed.)
    2,2,3,4,5,6,8,9
   
2,3,4,5,6,8,9
    2
,3,4,5,6,8
    3,4,5,6,8
    
3,4,5,6
    4,5,6
    
4,5
3) Since there is an even number of digits in your list, you will have to add the last two digits and then divide them by two. 4 and 5 are the last numbers standing, (4+5=9)(9/2=4.5) and therefore your answer, would be 4.5, or B.
8 0
3 years ago
The length of a rectangle is 5.5 feet. If the area is 44 square feet what is the width of the rectangle in feet
Anit [1.1K]
If you divide the area of the rectangle by the length (44÷5.5) the answer is 8. Your answer is 8 ft.
3 0
3 years ago
Consider a parent population with mean 75 and a standard deviation 7. The population doesn’t appear to have extreme skewness or
Aleks04 [339]

Answer:

a) \bar X \sim N(\mu=375, \sigma={\bar X}=\frac{7}{\sqrt{40}}=1.107)

b) Since the sample size is large enough n>30 and the original distribution for the random variable X  doesn’t appear to have extreme skewness or outliers, the distribution for the sample mean would be bell shaped and symmetrical.

c) P(\bar X \leq 77)=P(Z

d) See figure attached

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 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".

Let X the random variable of interest. We know from the problem that the distribution for the random variable X is given by:

E(X) = 75

sd(X) = 7

We take a sample of n=40 . That represent the sample size

Part a

From the central limit theorem we know that the distribution for the sample mean \bar X is also normal and is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

\bar X \sim N(\mu=375, \sigma={\bar X}=\frac{7}{\sqrt{40}}=1.107)

Part b

Since the sample size is large enough n>30 and the original distribution for the random variable X  doesn’t appear to have extreme skewness or outliers, the distribution for the sample mean would be bell shaped and symmetrical.

Part c

In order to answer this question we can use the z score in order to find the probabilities, the formula given by:

z=\frac{\bar X- \mu}{\frac{\sigma}{\sqrt{n}}}

And we want to find this probability:

P(\bar X \leq 77)=P(Z

We can us the following excel code: "=NORM.DIST(1.807,0,1,TRUE)"

Part d

See the figure attached.

8 0
3 years ago
HIiiiiiiiiiiiiiiiiiiiiiiiii
professor190 [17]

Answer:

hi the answer is 7.3

Step-by-step explanation:

hope it helps you have a good day

8 0
3 years ago
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