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tresset_1 [31]
3 years ago
10

Graph represents the function f (x) = StartFraction 5 minus 5 x squared Over x squared EndFraction?

Mathematics
2 answers:
In-s [12.5K]3 years ago
8 0

Answer:

B

Step-by-step explanation:

edge2020

True [87]3 years ago
3 0

Answer:

The following are the attachment to this question.

Step-by-step explanation:

Given:

\bold{ f (x) = (\frac{5- 5x^2}{x^2})}\\

Simplify:

\bold{ f (x) = (\frac{-5 (x^2-1)}{x^2})}\\\\\bold{ f (x) = (\frac{-5(x+1)(x-1)}{x^2})}\\

The graph representation can be described as follows:

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Penny and Madeline go to the movie theater and purchase refreshments for their friends.
erastovalidia [21]
25=1d+3p

139.75=10d=9p

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3 years ago
Tom knows that in his school 15 out of every 85 students are left handed. There are 153 students in Tom's school. How many stude
telo118 [61]

Answer:

27 students are left handed

Step-by-step explanation:

153/85 = 1.8 or 1 8/10. Now multiply your quotient by 15 and your answer will be 27

Hope this helps

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3 years ago
Express 0.82 as an percent
alexira [117]

Answer:

Should be 82% sorry if I'm wrong have a amazing day

5 0
3 years ago
The distribution of heights of adult males has a mean of 69 inches and a standard deviation of 4 inches. A random sample of 36 a
Licemer1 [7]

Answer:

P(\bar X >70)= P(Z>\frac{70-69}{\frac{4}{\sqrt{36}}})= P(Z>1.5)

And for this case we can use the complement rule and the normal standard distribution of excel and we got:

P(Z>1.5)=1-P(Z,1.5) = 1-0.933=0.0668

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".  

Solution to the problem

Let X the random variable that represent the heights of a population, and for this case we know the distribution for X is given by:

X \sim N(69,4)  

Where \mu=69 and \sigma=4

And we select a sample size of n =70

From the central limit theorem  (n>30)we know that the distribution for the sample mean \bar X is given by:

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

And we want to find this probability:

P(\bar X >70)

And we can use the z score formula given by:

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

And using this formula we got:

P(\bar X >70)= P(Z>\frac{70-69}{\frac{4}{\sqrt{36}}})= P(Z>1.5)

And for this case we can use the complement rule and the normal standard distribution of excel and we got:

P(Z>1.5)=1-P(Z,1.5) = 1-0.933=0.0668

6 0
4 years ago
Andrew washed 32 car windows in 4 hours. At this rate, how many windows did he wash in 8 hours?
Alexus [3.1K]

8 hours is twice as many as 4:

Multiply the number of windows in 4 hours by 2:

32 x 2 = 64 windows in 8 hours

8 0
3 years ago
Read 2 more answers
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