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Mariulka [41]
3 years ago
15

What is 8x squared = 56 rounded to the nearest tenth equal?

Mathematics
2 answers:
Jlenok [28]3 years ago
6 0
8x^2=56\ /:8\\x^2=7\\x^2-7=0\\(x- \sqrt{7} )(x+ \sqrt{7} )=0\\x-\sqrt{7}=0\ \ \ \ \ or\ \ \ \ \ x+\sqrt{7}=0\\x=\sqrt{7}\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ x=-\sqrt{7}\\ \\ x\approx2.65\ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ \ x-\approx2.65
emmasim [6.3K]3 years ago
5 0
8x^2=56
divide noth sides by 8
x^2=7
square root both sides
x=2.65 or -2.65
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Answer:

<u>The correct answer is 1/35 (fully simplified fraction)</u>

Step-by-step explanation:

Number of slips of paper in the bag = 15

Number of slips of paper in the bag that are a multiple of 4 = 3 (those numbered 4, 8 and 12)

Using Laplace Rule, that states that the probability of an event X is obtained by dividing the number of results that form event X by the number of possible outcomes, provided that the elementary events are equiprobable, that is, that all possible outcomes have the same probability.

Probability of pulling a 1st piece of paper multiple of 4 = 3/15 = 1/5

Now we have a second event Y that is not independent from the first event X, because now the number of slips is 14 and not 15, you're not returning the first slip of paper.

Probability of pulling a 2nd piece of paper multiple of 4 = Probability of the 1st event * probability of the 2nd event after it happened the 1st one

Probability of pulling a 2nd piece of paper multiple of 4 = 1/5 * 2/14

Probability of pulling a 2nd piece of paper multiple of 4 = 2/70 = 1/35

<u>The probability of pulling two slips of paper both numbered with a multiple of 4 is 1/35.</u>

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butalik [34]
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This means that the study established a correlation between </span><span>the weights of cars and the amounts of fuel consumption.

But, </span>a<span><span> correlation between variables, however, does not automatically mean that the change in one variable is the cause of the change in the values of the other variable.
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Therefore, the conclusion by the study that adding weight to a car is what makes it consume more fuel is wrong because The conclusion is based on a correlation that implies causality.


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Given that a recent government agency found that 89% of people that owned a car were above the poverty line, while only 8% of people that did not own a car were above the poverty line. They concluded that owning a car kept people out of poverty and started a program to give cars to people below the poverty line.

We can see that the problem with the study is that the government agency automatically assumed that the correlation between the variables implies causality.


</span><span>3.
Given that a government agency produced a study in which they randomly chose 100 students just beginning college to determine what percentage of students who begin college graduate with a degree. After four years they identified that 23 had dropped out of college, 45 had graduated, and 20 were still pursuing their degree.

Notice that the number of final sample is less than the number of the initial sample.

Therefore, What is wrong with this poll is that some of the sample data are missing.
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Here, the major problem with this study is the problem of non-response.
There is every possibility that not all the mails will be delivered either way.

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As can be seen, a sample of 22 people is too small to refrect the views of the population of a state.

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Given that a campaign manager created a survey to see if the candidate could be elected into office. The survey randomly chose 1,832 voters and asked them whom they would vote for. Of those surveyed, 953 people responded that they would vote for the candidate. Because there are 87,403 voters in the area, the results mean that 45,466 people would vote for this candidate.

As can be seen, the surveyor concluded that a  similar proportion of voters responded that they would vote for the candidate, would vote for his candidate. This is a precise number and surveys do not usually result in a presice number but in a proportion with an allowed margin of error.

Therefore, a problem with the study is that the result is a precise number.
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As can be seen, because some of the patients had left the area, the problem with the poll is that some of the sample data are missing.


</span><span>10.
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</span><span>Notice that the number of final sample is less than the number of the initial sample. (i.e. 219 + 45 = 264 which is less than 284)

Therefore, </span><span><span><span>the problem with the study</span> is that some of the sample data are missing.</span></span>
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