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Elza [17]
3 years ago
8

What is 0.62 ÷ 0.82i keep getting the answer 00.76 but i fon't think that's it.​

Mathematics
1 answer:
enyata [817]3 years ago
7 0

Answer:

0.75609 repeating or 31/41 as a fraction.

There is no other way to write this decimal.

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Now that his car is 5 years old, he would like to know whether the variability of gas mileage has changed. He recorded the gas m
Kamila [148]

Answer:

Now that his car is 5 years old, he would like to know whether the variability of gas mileage has changed. He recorded the gas mileage from his last eight fill-ups; these are listed here. Conduct a test at a 10% significance level to infer whether the variability has changed.

Step-by-step explanation:

6 0
3 years ago
Luz earns $400 for 40 hours of work. Use a ratio table to determine how much she earns for 6 hours of work
lapo4ka [179]

She earns $400 for 40 hours, so she earns $10 each hour.

6 x 10 = 60

She earns $60 for 6 hours of work.

4 0
3 years ago
Is it possible for eight employees to earn between $300 and $350 while the ninth earns $1250 per week, and the mean to be $430?
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4 0
3 years ago
18 decreased 12%<br> NEED HELP ASAP
GenaCL600 [577]

Answer:

17.88

Step-by-step explanation:

18- 12/ 100=

447/24=

then simplify

6 0
3 years ago
Read 2 more answers
Your teacher will report the mean and standard deviation of the sampling distribution created by the class.
sukhopar [10]

Answer:

\hat p = \frac{\sum_{i=1}^{40} \hat p_i}{40}

\hat p = 0.493

And the deviation is given by this formula:

s_{\hat p}= \frac{\sum_{i=1}^{40} (\hat p_i - \hat p)^2}{n-1}= 0.085

And as we can see the population proportion expected for the number of heads 0.5  is very close to the mean of the sampling distribution, the error is :

\% Error = \frac{0.5-0.493}{0.5}* 100 = 1.4\%

Step-by-step explanation:

Assuming the data on the figure attached. We ar assuming that this is a sampling distribution of sample proportions of heads in 40 flips of a coin.

As we can see we have the following values:

0.25, 0.35, 0.375,0.375, 0.40,0.40,0.40, 0.425,0.425,0.425, 0.45,0.45,0.45,0.45, 0.475,0.475,0.475, 0.475,0.475, 0.50,0.50,0.50, 0.525,0.525,0.525,0.525, 0.55,0.55,0.55,0.55,0.55, 0.575,0.575,0.575 0.575, 0.575, 0.60,0.60, 0.65,0.65

And we can calculate the sample proportion with the following formula:

\hat p = \frac{\sum_{i=1}^{40} \hat p_i}{40}

\hat p = 0.493

And the deviation is given by this formula:

s_{\hat p}= \frac{\sum_{i=1}^{40} (\hat p_i - \hat p)^2}{n-1}= 0.085

And as we can see the population proportion expected for the number of heads 0.5  is very close to the mean of the sampling distribution, the error is :

\% Error = \frac{0.5-0.493}{0.5}* 100 = 1.4\%

4 0
3 years ago
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