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Travka [436]
3 years ago
7

The tape diagram represents an equation.

Mathematics
1 answer:
Orlov [11]3 years ago
4 0

Answer:

t = 4

Step-by-step explanation:

13 + t = 17

t = 4

13 + 4 = 17

An easier way to solve a question like this is to subtract the number given by the answer.

Example:

17 - 13 = 4

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An airplane captain must have a minimum of 1500 hours of<br> flying experience. Tom has 715.
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He needs 785 more minutes

Step-by-step explanation:

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What is 48% of 64 please give right answers only
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30.72

Step-by-step explanation:

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3 years ago
Express a decimal number ( ie 0.768) - process description please - as a rational number (96/125)?
Stels [109]

The decimal representation of any number is a linear combination of powers of 10. In other words, given a number like 123.456, we can expand it as

1\cdot10^2+2\cdot10^1+3\cdot10^0+4\cdot10^{-1}+5\cdot10^{-2}+6\cdot10^{-3}

10^{-n}=\dfrac1{10^n} for any n, so the above is the same as

100+20+3+\dfrac4{10}+\dfrac5{100}+\dfrac6{1000}=\dfrac{100000+20000+3000+400+50+6}{1000}=\dfrac{123456}{1000}

Similarly, we can write

0.768=\dfrac{768}{1000}

Now it's a question of reducing the fraction as much as possible. We have \mathrm{gcd}(768,1000)=8 so

\dfrac{768}{1000}=\dfrac{96\cdot8}{125\cdot8}=\dfrac{96}{125}

5 0
3 years ago
A biology class has a total of 25 students. The number of females is 15 less than the number of males. How many males and how ma
meriva

Answer:

10 males

Step-by-step explanation:

because 15 + 10 is 25 so the answer is 10 males and 15 females

5 0
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A sample of 32 observations is taken from an infinite population. The sampling distribution of a.is approximately normal because
Vanyuwa [196]

Answer:

a.is approximately normal because of the central limit theorem.

Step-by-step explanation:

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this question:

Sample limit of 32 > 30, so the distribution is approximately normal because of the central limit theorem, and the correct answer is given by option a.

7 0
3 years ago
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