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iogann1982 [59]
2 years ago
14

What's the degree of x^2+9x-8

Mathematics
1 answer:
marishachu [46]2 years ago
3 0

Answer:

2

Step-by-step explanation:

The degree of a function is the highest power any single term is raised to.

x^2 is the term that has the highest degree, so in this case, the degree is 2.

For example; in x^5-x^4-3x^3; the degree would be 5 because the highest power x is raised to is 5.

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Frodo can run 1 miles in 1 hour
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One pound of shrimp costs $6.00. How much does 7/8 pound of shrimp cost?
professor190 [17]
$5.25, because if you multiply $6 by 7/8(fraction form), you get $5.25
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Please help me tooday
zepelin [54]

Answer:

its 3

Step-by-step explanation:

8 0
3 years ago
42. A cylinder has a base of 36 π in² and a volume of 432π in³. What is the surface area of the same cylinder? *
faust18 [17]

Answer:

216π in²

Step-by-step explanation:

Base area = π × r²

36 π = π × r²

r² = 36

r = 6

Volume = base area × height

432 π = 36 π × height

height = 12

Surface area:

2 × π × r × (r + h)

2π × 6 × (6 + 12)

216π

8 0
3 years ago
A machine, when working properly, produces 5% or less defective items. Whenever the machine produces significantly greater than
vovikov84 [41]

Answer:

The pvalue of the test is 0.0007 < 0.01, which means that we reject the null hypothesis and accept the alternate hypothesis that the percentage of defective items produced by this machine is greater than 5%.

Step-by-step explanation:

A machine, when working properly, produces 5% or less defective items.

This means that the null hypothesis is:

H_0: p \leq 0.05

Test if the percentage of defective items produced by this machine is greater than 5%.

This means that the alternate hypothesis is:

H_a: p > 0.05

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.

0.05 is tested at the null hypothesis:

This means that \mu = 0.05, \sigma = \sqrt{0.05*0.95}

A random sample of 300 items taken from the production line contained 27 defective items.

This means that n = 300, X = \frac{27}{300} = 0.09

Value of the test statistic:

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

z = \frac{0.09 - 0.05}{\frac{\sqrt{0.05*0.95}}{\sqrt{300}}}

z = 3.18

Pvalue of the test:

Testing if the mean is greater than a value, which means that the pvalue of the test is 1 subtracted by the pvalue of Z = 3.18, which is the probability of a finding a sample proportion of 0.09 or higher.

Looking at the Z-table, Z = 3.18 has a pvalue of 0.9993

1 - 0.9993 = 0.0007

The pvalue of the test is 0.0007 < 0.01, which means that we reject the null hypothesis and accept the alternate hypothesis that the percentage of defective items produced by this machine is greater than 5%.

5 0
3 years ago
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