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3 years ago

I need help pls someone

Mathematics

1 answer:

Dmitry [639]3 years ago

5 0

Answer:

gupflysldlhxlhdhldlyslugupflyoysoyddsldlhxlhdhldlyslus

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An angle measures 64 degrees more than the measure of its complementary angle. What is the measure of each angle?

fiasKO [112]

Answer:

13 and 77 degrees

Step-by-step explanation:

Complementary = 90 degrees

Set an angle to x

x+(x+64)=90

2x+64=90

2x=26

x=13

angle measures: 13, 77 degrees

7 0

3 years ago

It takes a printer 2 1/2 min to print 24 black-and-white pages and 4 color pages. It takes the same printer 3 1/4 min to print 3

Paul [167]

Multiply the first equation by 1.5, to get:
$(1.5)(24b + 4c) = 1.5(2.5)$
$36b + 6c = 3.75$
Subtract the second equation from this:
$6b = 1/2$
$b = 1/12$
Substituting into the first equation:
$24b + 4c = 2.5$
$24*(1/12) + 4c = 2.5$
$2 + 4c = 2.5$
$4c = 0.5$
$c = 1/8$
Therefore, it takes 1/12 minute to print a black-and-white page, and 1/8 minute to print a colored page.

4 0

3 years ago

Read 2 more answers

3.0625 divided by 7 in long division

elena-14-01-66 [18.8K]

Answer:

the answer to your question is 0.4375

3 0

3 years ago

The answer to the problem

Westkost [7]

The answer is: C) $3600

5 0

3 years ago

A simple random sample from a population with a normal distribution of 98 body temperatures has x =98.90 °F and s =0.68°F. Const

Ludmilka [50]

Answer:

$0.609 \leq \sigma \leq 0.772$

And the best conclusion would be:

D. This conclusion is safe because 1.40 °F is outside the confidence interval.

Step-by-step explanation:

1) Data given and notation

s=0.68 represent the sample standard deviation

$\bar x =98.90$ represent the sample mean

n=98 the sample size

Confidence=90% or 0.90

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population mean or variance lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

The Chi Square distribution is the distribution of the sum of squared standard normal deviates .

2) Calculating the confidence interval

The confidence interval for the population variance is given by the following formula:

$\frac{(n-1)s^2}{\chi^2_{\alpha/2}} \leq \sigma^2 \leq \frac{(n-1)s^2}{\chi^2_{1-\alpha/2}}$

The next step would be calculate the critical values. First we need to calculate the degrees of freedom given by:

$df=n-1=98-1=97$

Since the Confidence is 0.90 or 90%, the value of $\alpha=0.1$ and $\alpha/2 =0.05$ , and we can use excel, a calculator or a table to find the critical values.