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3 years ago

3 (x-5)+2 (3x+1)=45

Mathematics

1 answer:

pickupchik [31]3 years ago

8 0

Answer:

x + 3 = 17

Step-by-step explanation:

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This trapezoid-based right prism has a volume of 30 cm 3 30 cm 3 30, start text, space, c, m, end text, cubed.What is the area o

Ne4ueva [31]

The area base when the trapezoid-based right prism has a volume of, 6cm,5 cm, and 1 cm should be 6.

Calculation of the area

Here we assume

a = 6

b = 5

c = 1

Now we know that

<h3>What is the area of the trapezoid-based right prism?</h3>

$Area=\frac{(a+b)}{2} \times c$

$Area=\frac{(6+5)}{2} \times 1\\Area=\frac{11}{2}\\ Area=5.5\\Area=6$

= 6

Hence, The area base when the trapezoid-based right prism has a volume of, 6cm,5 cm, and 1 cm should be 6.

To learn more about an area here:

brainly.com/question/24682685

#SPJ1

5 0

1 year ago

Which angle is the angle of depression for the man looking at his dog?<br><br> A<br> B<br> C<br> D

motikmotik

Answer:

Step-by-step explanation:

An angle of depression is measured from the horizontal downwards.

this is angle D in the diagram

3 0

1 year ago

Dan invests £15000 into his bank account.

Igoryamba

Answer:

$16,557

Step-by-step explanation:

The computation of the amount after four years is shown below:

As we know that

Future value = Present value × (1 + rate of interest)^number of years

= £15,000 × (1 + 2.5%)^4

= £15,000 × 1.025^4

= $16,557

8 0

2 years ago

"is it appropriate to use the normal approximation for the sampling distribution of"

Katyanochek1 [597]

Answer: Normal approximation can be used for discrete sampling distributions, such as Binomial distribution and Poisson distribution if certain conditions are met.

Step-by-step explanation: We will give conditions under which the Binomial and Poisson distribitions, which are discrete, can be approximated by the Normal distribution. This procedure is called normal approximation.

1. Binomial distribution: Let the sampling distribution be the binomial distribution $B(n,p)$ , where $n$ is the number of trials and $p$ is the probability of success. It can be approximated by the Normal distribution with the mean of $np$ and the variance of $np(1-p)$ , denoted by $N(np,np(1-p))$ if the following condition is met:

$n>9\left(\frac{1-p}{p}\right)\text{ and } n>9\left(\frac{p}{1-p}\right)$

2. Poisson distribution: Let the sampling distribution be the Poisson distribution $P(\lambda)$ where $\lambda$ is its mean. It can be approximated by the Normal distribution with the mean $\lambda$ and the variance $\lambda$ , denoted by $N(\lambda,\lambda)$ when $\lambda$ is large enough, say $\lambda>1000$ (however, different sources may give different lower value for $\lambda$ but the greater it is, the better the approximation).