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3 years ago

Answer pleassse ???? I'll love you forever

Mathematics

1 answer:

enot [183]3 years ago

3 0

As x increases, y increases. So this data has a positive association. The association looks to be strong, as the values all follow the trend pretty closely.

Answer=Strong Positive

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Find the value of x in each of the following a) x/3-2 = 6 b) x/5+ 1 = 5

AnnyKZ [126]

X/3 -2 = 6

Add 2 to both sides:

X/3 = 8

Multiply both sides by 3:

X = 24

X/5 +1 = 5

Subtract 1 from both sides:

X/5 = 4

Multiply both sides by 5:

X = 20

6 0

3 years ago

Read 2 more answers

A movie theater designs two bags to hold 250 cubic inches of popcorn each.

grigory [225]

Answer:

5 inches

Step-by-step explanation:

Well two bags hold 250 cubic inches, which means one bag will hold 125 cubic inches.

Then you cube route 125 because its cubic inches.

$\sqrt[3]{125}$ = 5

So I would think its five inches but I may be wrong <3

4 0

3 years ago

(1 x 106) - (8 x 109) How do I solve it

choli [55]

First of all 1 x 106= 106, secondly 8 x 109= 872. Therefore you would subtract 872 from 106 and that’s your answer

5 0

3 years ago

Read 2 more answers

To decrease the impact on the environment, factory chimneys must be high enough to allow pollutants to dissipate over a larger a

Komok [63]

Answer:

The probability hat the sample mean height for the 40 chimneys is greater than 102 meters is 0.1469.

Step-by-step explanation:

Let the random variable X be defined as the height of chimneys in factories.

The mean height is, μ = 100 meters.

The standard deviation of heights is, σ = 12 meters.

It is provided that a random sample of n = 40 chimney heights is obtained.

According to the Central Limit Theorem if we have an unknown population with mean μ and standard deviation σ and appropriately huge random samples (n > 30) are selected from the population with replacement, then the distribution of the sample means will be approximately normally distributed.

Then, the mean of the distribution of sample means is given by,

$\mu_{\bar x}=\mu$

And the standard deviation of the distribution of sample means is given by,

$\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}$

Since the sample selected is quite large, i.e. n = 40 > 30, the central limit theorem can be used to approximate the sampling distribution of sample mean heights of chimneys.

$\bar X\sim N(\mu_{\bar x},\ \sigma^{2}_{\bar x})$

Compute the probability hat the sample mean height for the 40 chimneys is greater than 102 meters as follows:

$P(\bar X>102)=P(\frac{\bar X-\mu_{\bar x}}{\sigma_{\bar x}})>\frac{102-100}{12/\sqrt{40}})$

$=P(Z>1.05)\\=1-P(Z$

*Use a z-table fr the probability.

Thus, the probability hat the sample mean height for the 40 chimneys is greater than 102 meters is 0.1469.

8 0

3 years ago

Select the correct answer.

sladkih [1.3K]

Answer:

Step-by-step explanation:

Because this ia so simple I don't even need to explain to waste my last few brain cells.

8 0

3 years ago

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