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3 years ago

Can someone help me

Mathematics

2 answers:

matrenka [14]3 years ago

5 0

I recommend to use desmos calculator ! It will help !

elena-s [515]3 years ago

3 0

I think the answer is 10 and one-half but i’m not entirely sure

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A 55-inch television screen has a shape of a rectangle with a diagonal that is 55 inches long and a width of the screen is 27 in

Genrish500 [490]

L^2 = 55^2 - 27^2

L^2 = 3025 - 729
L^2 = 2296
L = sqrt(2296) = 47.92 inches

perimeter = 27*2 + 47.92*2 = 54 + 95.84 = 149.84 inches

7 0

3 years ago

Read 2 more answers

I NEED HELP THIS HW IS DUE TODAY

Alja [10]

2(a) 6a-2b+5
2(b) 6x+3y+3z

3. x-2

(Could you tell me the question of the first part pls)

7 0

3 years ago

Could anyone give me the answer to this question?

love history [14]

Answer:

Step-by-step explanation:

$\angle AOC$ is made up of s + r, and since r is $\frac{3}{5}$ of $\angle AOC$ we know r must be the remaining $\frac{2}{5}$ of $\angle AOC$ .

We can solve for $\angle AOC$ by using this equation:

$\frac{2}{5}\angle AOC = 24\\(\frac{2}{5}\angle AOC)\frac{5}{2} = (24)\frac{5}{2}\\ \boxed{\angle AOC = 60}$

1. 2 fifths of $\angle AOC$ is 24

2. multiply both sides by $\frac{5}{2}$ to isolate $\angle AOC$

3. $\angle AOC$ is 60°

We can now solve for r

$r = \frac{3}{5}\angle AOC\\r = \frac{3}{5}(60)\\\boxed{r = 36}$

1. the equation the problem gave us

2. substitute $\angle AOC$ for 60 (we solved for it before)

3. $r$ is 36°

4 0

3 years ago

A soft drink machine outputs a mean of 29 ounces per cup. The machine's output is normally distributed with a standard deviation

Reika [66]

Answer:

0.8919 = 89.19% probability of filling a cup between 33 and 35 ounces.

Step-by-step explanation:

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

A soft drink machine outputs a mean of 29 ounces per cup. The machine's output is normally distributed with a standard deviation of 4 ounces.

This means that $\mu = 29, \sigma = 4$