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cluponka [151]
3 years ago
11

using the formula c = 2pier, find the circumference of a circle with diameter of 28 inches. round your answer to the nearest inc

h a.) 56 in. b.) 28 in. c.) 88 in. d.) 44 in.
Mathematics
1 answer:
Cloud [144]3 years ago
6 0
So than given that the diameter of a circle is 28 inches so from this result the radius is d/2 = 28/2 = 14 inches 

than the circumference of circle will be equal 2*3,14*14 = 6,28 *14 = 87,92 so rounded equal 88 in.

so this mean that choice c.) is right sure 

hope this will help you 
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#1

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\\ \tt\hookrightarrow -4+5=1

#2

  • Let one be x and other be x-1

\\ \tt\hookrightarrow a-b=x-x+1=+1

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\\ \tt\hookrightarrow 42-66-(100-24)

\\ \tt\hookrightarrow -24-76

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A house and a lot is appraised at $212,400. The value of the house is five times more the value of the lot. What is the house wo
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3 years ago
Simplify the expression.<br>36 + 32 + (6 - 3)<br>Show your work.​
dybincka [34]

Answer:

71

Step-by-step explanation:

Remember to always follow PEMDAS as well as the left -> right rule. While you do not need PEMDAS for this expression specifically, it is always good to know it. PEMDAS is the order of operations:

PEMDAS =

Parenthesis

Exponents (& Roots)

Multiplication

Division

Addition

Subtraction

-----------------------------------------------------------------------------------------------------

First, solve the parenthesis:

(6 - 3) = 3

Next, simplify, by adding:

36 + 32 + 3 =

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71 is your answer.

~

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The maximum acceptable level of a certain toxic chemical in vegetables has been set at 0.4 parts per million (ppm). A consumer h
Elodia [21]

Answer:

Null hypothesis : \mu \leq 0.4

Alternative hypothesis: \mu >0.4

And for this case a type of error I for this case would be reject the null hypothesis that the population mean is lower or equal than 0.4 when actually is true.

A Type I error would occur if, in fact, μ ≤ 0.4 ppm, but the results of the sampling lead to the conclusion that μ > 0.4 ppm

Step-by-step explanation:

Previous concepts

A hypothesis is defined as "a speculation or theory based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false".  

The null hypothesis is defined as "a hypothesis that says there is no statistical significance between the two variables in the hypothesis. It is the hypothesis that the researcher is trying to disprove".  

The alternative hypothesis is "just the inverse, or opposite, of the null hypothesis. It is the hypothesis that researcher is trying to prove".  

Type I error, also known as a “false positive” is the error of rejecting a null  hypothesis when it is actually true. Can be interpreted as the error of no reject an  alternative hypothesis when the results can be  attributed not to the reality.  

Type II error, also known as a "false negative" is the error of not rejecting a null  hypothesis when the alternative hypothesis is the true. Can be interpreted as the error of failing to accept an alternative hypothesis when we don't have enough statistical power

Solution to the problem

For this case we are trying to check the following hypothesis:

Null hypothesis : \mu \leq 0.4

Alternative hypothesis: \mu >0.4

And for this case a type of error I for this case would be reject the null hypothesis that the population mean is lower or equal than 0.4 when actually is true.

A Type I error would occur if, in fact, μ ≤ 0.4 ppm, but the results of the sampling lead to the conclusion that μ > 0.4 ppm

7 0
4 years ago
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