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dusya [7]
3 years ago
5

What is the midpoint for (3,6) and (7,6)

Mathematics
2 answers:
Vika [28.1K]3 years ago
8 0

Answer:

(5,6)

Step-by-step explanation:

Midpoint formula: (\frac{x_1+x_2}{2} , \frac{y_1 + y_2}{2} )

Plug in values: (\frac{3+7}{2} ,\frac{6+6}{2} )

Simplify: (\frac{10}{2} ,\frac{12}{2} ) = (5,6)

Final Answer: (5,6)

klasskru [66]3 years ago
5 0

Answer:

(5;6) is the answer......

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Complete question

To find \sqrt{5} , Beau found 2^2 = 4 and 3^2 = 9 . He said that since 5 is between 4 and 9, \sqrt{5}, is between 2 and 3. Beau thinks a good estimate for \sqrt{5} , is \frac{2 + 3}{2} =  2.5 Is his estimate high or low? How do you know?

Answer:

The estimation is high because 5 is very close to 4 so \sqrt{5} will also be very close to \sqrt{4} which is lower than the estimate

In order to get a good estimate

The first step is to choose a number between 2 and 3 let say 2.8 , 2,85 , 2.9 and the square them

i.e

2.1^2 =  4.41

     2.2^2 =  4.84

      2.3^2 =  5.29

From here we can see that \sqrt{5}  lies between 2.2 and 2.3 but is closer to  2.2

So a good estimate for \sqrt{5} is 2.2

Step-by-step explanation:

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3 years ago
There are 18 female students and 16 male students in a class. Which of the following expresses the ratio of female students to m
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G(x) = 4x + 3; Find g(10)
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Answer:

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Step-by-step explanation:

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plug in 10

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Answer:

There is a 95% chance that values will be within ±2 standard deviations of the mean.

Step-by-step explanation:

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Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

The Empirical Rule states that, for a normally distributed random variable:

Approximately 68% of the measures are within 1 standard deviation of the mean.

Approximately 95% of the measures are within 2 standard deviations of the mean.

Approximately 99.7% of the measures are within 3 standard deviations of the mean.

In this question:

According to the empirical rule, 95% of the measures are within 2 standard deviations of the mean. So the correct statement is:

There is a 95% chance that values will be within ±2 standard deviations of the mean.

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