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Gelneren [198K]
3 years ago
5

Find (f/g)(x). f(x)=sqrtx^2-1 g(x)=sqrtx-1 (hurry plz its timed lol)

Mathematics
1 answer:
Bas_tet [7]3 years ago
5 0

Answer:

The correct option is (a)

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8x(40+7)=(8x )+(8x7 what is the missing number
Hitman42 [59]
Well since the first expression says 8x(40+7) the answer would be 40 that is missing

Since your splitting 47 into 40 and 7 and multiplying both of them by 8 the answer would be 40
6 0
3 years ago
How much is 1/4+ 1/6
torisob [31]
5/12! How it helps :)
6 0
3 years ago
Carmen has already driven 300 miles. she plans to drive 240 miles per day, for each of the remaining days in her trip write an e
Mazyrski [523]

Answer:

1020 miles

Step-by-step explanation:

m = (240 * x) + 300

m = (240 * 3) + 300

m = 720 + 300

m = 1020

6 0
3 years ago
Which graph represents an function
nydimaria [60]
We kind of need to see the graphs to decide.
but the function is any graph that is completely straight and goes through the center (0,0)
6 0
3 years ago
Student scores on exams given by a certain instructor have mean 74 and standard deviation 14. This instructor is about to give t
Lapatulllka [165]

Answer:

P(\bar X >80)=P(Z>2.143)=1-P(z

Step-by-step explanation:

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".

Let X the random variable that represent the Student scores on exams given by a certain instructor, we know that X have the following distribution:

X \sim N(\mu=74, \sigma=14)

The sampling distribution for the sample mean is given by:

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

The deduction is explained below we have this:

E(\bar X)= E(\sum_{i=1}^{n}\frac{x_i}{n})= \sum_{i=1}^n \frac{E(x_i)}{n}= \frac{n\mu}{n}=\mu

Var(\bar X)=Var(\sum_{i=1}^{n}\frac{x_i}{n})= \frac{1}{n^2}\sum_{i=1}^n Var(x_i)

Since the variance for each individual observation is Var(x_i)=\sigma^2 then:

Var(\bar X)=\frac{n \sigma^2}{n^2}=\frac{\sigma}{n}

And then for this special case:

\bar X \sim N(74,\frac{14}{\sqrt{25}}=2.8)

We are interested on this probability:

P(\bar X >80)

And we have already found the probability distribution for the sample mean on part a. So on this case we can use the z score formula given by:

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

Applying this we have the following result:

P(\bar X >80)=P(Z>\frac{80-74}{\frac{14}{\sqrt{25}}})=P(Z>2.143)

And using the normal standard distribution, Excel or a calculator we find this:

P(Z>2.143)=1-P(z

6 0
4 years ago
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