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wel
2 years ago
10

Please symplify this equation

Mathematics
2 answers:
givi [52]2 years ago
5 0
The answer would be a11
Komok [63]2 years ago
3 0
Not sure about this equation

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What is 8 1/72 times 9 1/9?
Margaret [11]
Change your fraction to whole by 72×8+1 which is 577 then do 9×9+1 which is 82 then times 577 to 82 which is 47,314
3 0
3 years ago
Can someone answer this for me? I don’t understand how to solve it!
ch4aika [34]

Answer:

X=67

Step-by-step explanation:

x-22+135=180 (180 because that line is a straight line that was intersected and a straight line has a degree of 180)

x-22+135=180

x+113=180 (combine like terms)

x=67 (combine like terms again)

4 0
2 years ago
If 10^x equals 0.1 percent of 10^y, where x and y are integers, which of the following must be true?
andrew-mc [135]
10^x=0.1 \% \times 10^y \\ \\
10^x=\frac{0.1}{100} \times 10^y \\ \\
10^x=\frac{1}{1000} \times 10^y \\ \\
10^x=\frac{10^y}{10^3} \\ \\
10^x=10^{y-3} \\ \\
\log_{10} 10^x=\log_{10} 10^{y-3} \\ \\
x=y-3 \\ \\
y=x+3

The answer is B.
5 0
3 years ago
Note that the proportion of students who went Home for winter break was 0.35 (or 35%). Briefly explain why it would not be appro
tensa zangetsu [6.8K]

Answer:

Is not appropiate to refer a estimation or a statistic as a paramter because the statistic just give informaation about the sample selected and not about all the population of interest. What we can do is inference with this sample proportion or confidence intervals in order to see on what limits our real parameter of interest p lies.

Step-by-step explanation:

Description in words of the parameter p

p represent the real population proportion of students who went Home for winter break

\hat p represent the estimated proportion of students who went Home for winter break

n is the sample size selected  

The population proportion have the following distribution  

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

Solution to the problem

For this case we assume that the proportion given 0.35 is an estimation for the real parameter of interest p, that means \hat p = 0.35

On this case the estimated proportion is calculated from the following formula:

\hat p = \frac{X}{n}

Where X are the people in the sam with the characteristic desired (students who went Home for winter break) and n the sample size selected.

Is not appropiate to refer a estimation or a statistic as a paramter because the statistic just give informaation about the sample selected and not about all the population of interest. What we can do is inference with this sample proportion or confidence intervals in order to see on what limits our real parameter of interest p lies.

7 0
3 years ago
Look at the inequality 5x+1 >_35
aniked [119]
4,000ndndndndndnfnfnfnfndndndndndnxnxnnxdj
5 0
2 years ago
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