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Leno4ka [110]
3 years ago
7

PLEASE HELP WILL GIVE BRAINLIEST, THANKS, AND RATE 5 STARS!!!

Mathematics
1 answer:
solmaris [256]3 years ago
3 0

First answer, this is because if you were to substitute the x and y variables which are the height and days the plant grew, then the 1st answer would be the answer

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50 points!!
snow_lady [41]

Answer:

(x-8) (x+7)

Step-by-step explanation:

x^2 -x-56

We want to factor this problem.

What two numbers multiply to negative 56 and add to -1

-8 *7 = -56

-8+7 = -1

We can use -8 and 7

(x-8) (x+7)

Check:

FOIL

first: x*x =x^2

outer: 7x

inner:-8x

last: -8*7 = -56

Add this together

x^2 +7x-8x -56 = x^2 -x-56

3 0
3 years ago
Please help!! It is easy!!<br> 180:60 in simplest form<br><br> 15 pts for this question
alexandr1967 [171]
It is 3 over one . 3:1 because 60x3 is 180.
7 0
4 years ago
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Given a circle with a radius of 0.85 meters, find the area of 1/3 of the circle. Use 3.14 for pi and round to the nearest hundre
OlgaM077 [116]

Answer:

.76 meters

Step-by-step explanation:

The area of a circle is pi*r^2

3.14*.85^2 = 2.26865

Dividing this into thirds gives us approximately .75621666666

Round to the nearest hundredth.

.76

Label the answer.

.76 meters

8 0
3 years ago
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Find the unit rate at which Jonas is paid.​
Aleks [24]

Answer:

5 dollars per hour

Step-by-step explanation:

4 0
3 years ago
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The resistors produced by a manufacturer are required to have an average resistance of 0.150 ohms. Statistical analysis of the o
Ugo [173]

Answer:

a) The p-value of the test is 0.2076 > 0.05, which means that the sample indicates that the resistors are conforming.

b) The 95% confidence interval for the average resistance is (0.147, 0.153). 0.152 is part of the confidence interval, which means that as the test statistic in item a), it indicates that the resistors are conforming.

Step-by-step explanation:

Question a:

The resistors produced by a manufacturer are required to have an average resistance of 0.150 ohms.

At the null hypothesis, we test if this is the average resistance, that is:

H_0: \mu = 0.15

We are interested in testing the hypothesis that the resistors conform to the specifications.

At the alternative hypothesis, we test if it is not conforming, that is, the mean is different of 0.15, so:

H_1: \mu \neq 0.15

The test statistic is:

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

In which X is the sample mean, \mu is the value tested at the null hypothesis, \sigma is the standard deviation and n is the size of the sample.

0.15 is tested at the null hypothesis:

This means that \mu = 0.15

Sample mean of 0.152, sample of 10, population standard deviation of 0.005.

This means that X = 0.152, n = 10, \sigma = 0.005

Value of the test statistic:

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

z = \frac{0.152 - 0.15}{\frac{0.005}{\sqrt{10}}}

z = 1.26

P-value of the test and decision:

The p-value of the test is the probability of the sample mean differing from 0.15 by at least 0.152 - 0.15 = 0.002, which is P(|z| > 1.26), given by two multiplied by the p-value of z = -1.26.

Looking at the z-table, z = -1.26 has a p-value of 0.1038.

2*0.1038 = 0.2076

The p-value of the test is 0.2076 > 0.05, which means that the sample indicates that the resistors are conforming.

Question b:

We have to find our \alpha level, that is the subtraction of 1 by the confidence interval divided by 2. So:

\alpha = \frac{1 - 0.95}{2} = 0.025

Now, we have to find z in the Z-table as such z has a p-value of 1 - \alpha.

That is z with a p-value of 1 - 0.025 = 0.975, so Z = 1.96.

Now, find the margin of error M as such

M = z\frac{\sigma}{\sqrt{n}}

In which \sigma is the standard deviation of the population and n is the size of the sample.

M = 1.96\frac{0.005}{\sqrt{10}} = 0.003

The lower end of the interval is the sample mean subtracted by M. So it is 0.15 - 0.003 = 0.147.

The upper end of the interval is the sample mean added to M. So it is 0.15 + 0.003 = 0.153.

The 95% confidence interval for the average resistance is (0.147, 0.153). 0.152 is part of the confidence interval, which means that as the test statistic in item a), it indicates that the resistors are conforming.

8 0
3 years ago
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