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2 years ago

I put more points, sorry

Mathematics

1 answer:

Murljashka [212]2 years ago

3 0

Answer:

I dont understand. It isnt clear on what they want you to do.

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The diameter of a beach ball is 10 inches. How many cubic inches of air can the beach ball hold? Use 3.14 for pie . Round to the

Morgarella [4.7K]

volume = 4/3 x PI x r^3

r = 10/2 =5

V = 4/3 x 3.14 x 5^3 = 523.333

523.3 cubic inches

7 0

3 years ago

(2x-8)(2x+9) help please

lesya [120]

$(2x - 8)(2x + 9) \\ 4 {x}^{2} + 18x - 16x - 72 \\ 4 {x}^{2} + 2x - 72$

HOPE IT HELPS

PLEASE GIVE BRAINLIEST

4 0

2 years ago

Read 2 more answers

The distribution of resistance for resistors of a certain type is known to be normal, with 10% of all resistors having a resista

baherus [9]

Answer:

The mean is 9.65 ohms and the standard deviation is 0.2742 ohms.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

10% of all resistors having a resistance exceeding 10.634 ohms

This means that when X = 10.634, Z has a pvalue of 1-0.1 = 0.9. So when X = 10.634, Z = 1.28.

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

$1.28 = \frac{10.634 - \mu}{\sigma}$

$10.634 - \mu = 1.28\sigma$

$\mu = 10.634 - 1.28\sigma$

5% having a resistance smaller than 9.7565 ohms.

This means that when X = 9.7565, Z has a pvalue of 0.05. So when X = 9.7565, Z = -1.96.

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

$-1.96 = \frac{9.7565 - \mu}{\sigma}$

$9.7565 - \mu = -1.96\sigma$

$\mu = 9.7565 + 1.96\sigma$

We also have that:

$\mu = 10.634 - 1.28\sigma$

$10.634 - 1.28\sigma = 9.7565 + 1.96\sigma$

$1.96\sigma + 1.28\sigma = 10.645 - 9.7565$

$3.24\sigma = 0.8885$

$\sigma = \frac{0.8885}{3.24}$

$\sigma = 0.2742$

The mean is

$\mu = 10.634 - 1.28\sigma = 10 - 1.28*0.2742 = 9.65$

The mean is 9.65 ohms and the standard deviation is 0.2742 ohms.

8 0

3 years ago

The mean of the data set shown in the table is 57. What is the mean absolute deviation?

MAXImum [283]

Is there a picture of the data set? I cannot give you an exact answer without the actual data values, but I can explain how to solve it.
The mean absolute deviation basically tells the average of how much each data value deviates from the mean of the entire data set. Therefore you just find the difference between each value in the data set and 57. Then you take all the differences and find the average by adding them all up and dividing by the number of values.

4 0

2 years ago

Read 2 more answers

Simplify 9(30 - 2).<br> 252<br> 288<br> 272<br> 268

Lapatulllka [165]

28
x 9
___
72
+180
____
252

The answer is 252
___

8 0

2 years ago