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sammy [17]
3 years ago
14

Use powers of 2 to perform each calculation without a calculator or other technology

Mathematics
1 answer:
aleksley [76]3 years ago
6 0

Answer:

\frac{2^{7} . 2^{5} }{16} = 256

Step-by-step explanation:

The given expression is \frac{2^{7} . 2^{5} }{16}

Now, the Laws of Exponents state that

1. a^{x}.a^{y}   = a^{(x+ y)}

2. \frac{a^{x} }{a^{y} }  = a^{(x-y)}

Now, simplifying the expression using the two laws, we get

\frac{2^{7} . 2^{5} }{16}  = \frac{2^{7 + 5}  }{16}

Now,  16 = 2^{4}

So, substituting 16 with it, we get

\frac{2^{7 + 5}  }{16} = \frac{2^{12}  }{2^{4}}

= 2^{12 - 4}  = 2^{8}

Simplyimng this further, we get

2^{8} = 256

⇒ \frac{2^{7} . 2^{5} }{16} = 256

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Answer:

Mean=2.53

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Step-by-step explanation:

1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 4, 4, 4

MEAN

Add up all data values to get the sum

Count the number of values in your data set

Divide the sum by the count

38/15=2.53

MEDIAN

Arrange data values from lowest to the highest value

The median is the data value in the middle of the set

If there are 2 data values in the middle the median is the mean of those 2 values.

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RANGE

18-15=3

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3 years ago
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Answer: They are similar many ways.

Step-by-step explanation:

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Determine ƒ(a + h) for ƒ(x) = 2x3.
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3 years ago
An automobile manufacturer has given its van a 59.5 miles/gallon (MPG) rating. An independent testing firm has been contracted t
LekaFEV [45]

Answer:

The pvalue of the test is 0.0124 < 0.1, which means that there is sufficient evidence at the 0.1 level to support the testing firm's claim.

Step-by-step explanation:

An automobile manufacturer has given its van a 59.5 miles/gallon (MPG) rating. An independent testing firm has been contracted to test the actual MPG for this van since it is believed that the van has an incorrect manufacturer's MPG rating:

At the null hypothesis, we test if the mean is the same, that is:

H_0: \mu = 59.5

At the alternate hypothesis, we test that it is different, that is:

H_a: \mu \neq 59.5

The test statistic is:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

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

59.5 is tested at the null hypothesis:

This means that \mu = 59.5

After testing 250 vans, they found a mean MPG of 59.2. Assume the population standard deviation is known to be 1.9.

This means that n = 250, X = 59.2, \sigma = 1.9

Value of the test statistic:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

z = \frac{59.2 - 59.5}{\frac{1.9}{\sqrt{250}}}

z = -2.5

Pvalue of the test and decision:

The pvalue of the test is the probability of finding a mean that differs from 59.5 by at least 0.3, which is P(|Z|>-2.5), which is 2 multiplied by the pvalue of Z = -2.5.

Looking at the z-table, Z = -2.5 has a pvalue of 0.0062

2*0.0062 = 0.0124

The pvalue of the test is 0.0124 < 0.1, which means that there is sufficient evidence at the 0.1 level to support the testing firm's claim.

5 0
3 years ago
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