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murzikaleks [220]
3 years ago
6

Missing factors to find the given estimated product of 6,397×349​

Mathematics
1 answer:
Vlad1618 [11]3 years ago
7 0

Answer:

The answer is 2232553

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The formula for fractional exponents is \sqrt[n]{m} =  x^{ \frac{m}{n} } 

For this particular problem the expression would be written as \sqrt[2]{ x^{3} }
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Janice examines the given triangle and estimates that
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Janice examines the given triangle and estimates that the longest side has a length of 25 units―if it is a right triangle. How does her estimate compare to the actual length? It is under by approximately 0.6 units.

Step-by-step explanation:

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Which of the following choices represents the area of the figure below?
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x^2-16

Step-by-step explanation:

A= (b)(h)

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x^2-16

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3 years ago
Eight less than fout times a number is less than 56. what are the possible values of that number ​
Arada [10]

Answer:

x<16

Step-by-step explanation:

number<em> n </em>

eight less than four times a number ... 4 x <em>n</em> - 8

is less than 56 ... < 56

4 x <em>n</em> - 8 < 56

4 x <em>n</em> < 56 + 8

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3 years ago
Read 2 more answers
A survey of 35 people was conducted to compare their self-reported height to their actual height. The difference between reporte
monitta

Answer:

The test statistic is t = 3.36.

Step-by-step explanation:

You're testing the claim that the mean difference is greater than 0.7.

At the null hypothesis, we test if it is 0.7 or less, that is:

H_0: \mu \leq 0.7

At the alternate hypothesis, we test if it is greater than 0.7, that is:

H_1: \mu > 0.7

The test statistic is:

t = \frac{X - \mu}{\frac{s}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the null hypothesis, s is the standard deviation and n is the size of the sample.

0.7 is tested at the null hypothesis:

This means that \mu = 0.7

Survey of 35 people. From the sample, the mean difference was 0.95, with a standard deviation of 0.44.

This means that n = 35, X = 0.95, s = 0.44

Calculate the test statistic

t = \frac{X - \mu}{\frac{s}{\sqrt{n}}}

t = \frac{0.95 - 0.7}{\frac{0.44}{\sqrt{35}}}

t = 3.36

The test statistic is t = 3.36.

7 0
3 years ago
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