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Mnenie [13.5K]
4 years ago
15

Reduce 738 and 7/32 by 48 and 9/32 .

Mathematics
1 answer:
Helga [31]4 years ago
8 0

Answer: 689 + 30/32

Step-by-step explanation:

A reduction of A by B, means that we need to solve:

A - B.

So if we want to reduce 738 and 7/32 by 48 and 9/32 we have to solve:

(738 + 7/32) - (48 + 9/32)

we can separate it into whole and fraction:

(738 - 48) + (7/32 - 9/32)

690 - 2/32

But we usually don't want a negative fraction, so we can use that:

1 = 32/32

690 - 2/32 = 689 + 1 - 2/32 = 689 +32/32 - 2/32 = 689 + 30/32

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Answer:  Yes, the given set of vectors is a linearly independent subset of R³.

Step-by-step explanation:  We are given to show that the following set of three vectors is a linearly independent subset of R³ :

B = {(1, 1, 0), (1, 0, 1), (0, 1, 1)} .

Since the given set contains three vectors which is equal to the dimension of R³, so it is a subset of R³.

To check the linear independence, we will find the determinant formed by theses three vectors as rows.

If the value of the determinant is non zero, then the set of vectors is linearly independent. Otherwise, it is dependent.

The value of the determinant can be found as follows :

D\\\\\\=\begin{vmatrix}1 & 1 & 0\\ 1 & 0 & 1\\ 0 & 1 & 1\end{vmatrix}\\\\\\=1(0\times1-1\times1)+1(1\times0-1\times1)+0(1\times1-0\times0)\\\\=1\times(-1)+1\times(1)+0\\\\=-1-1\\\\=-2\neq0.

Since the determinant is not equal to 0, so the given set of vectors is a linearly independent subset of R³.

Thus, the given set is a linearly independent subset of R³.

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3 years ago
A student compiled a list of daily low temperatures (in °F) that she observed at her college last semester. The
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Young's modulus is a quantitative measure of stiffness of an elastic material. Suppose that for aluminum alloy sheets of a parti
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Answer:

a1) \mu_{\bar{X}} = 70

a2)\sigma_{\bar{X}} = 0.4

b1) \mu_{\bar{X}} = 70

b2) \sigma_{\bar{X}} = 0.2

c) X is more likely to be within 1 GPa of 70 GPa in the random sample of part b because of the largeness in sample size and less scattering of data

Step-by-step explanation:

Mean value, \mu = 70

Standard deviation, \sigma = 1.6

a1) sample size, n = 16

Mean of the sampling distribution of the sample mean = mean value, i.e.

\mu_{\bar{X}} = \mu\\\mu_{\bar{X}} = 70

a2) The standard deviation of the sampling distribution of the sample mean

\sigma_{\bar{X}} = \frac{\sigma}{\sqrt{n} } \\\sigma_{\bar{X}} = \frac{1.6}{\sqrt{16} }\\\sigma_{\bar{X}} = 0.4

b1) For sample size, n = 64

Mean of the sampling distribution of the sample mean = mean value, i.e.

\mu_{\bar{X}} = \mu\\\mu_{\bar{X}} = 70

a2) The standard deviation of the sampling distribution of the sample mean

\sigma_{\bar{X}} = \frac{\sigma}{\sqrt{n} } \\\sigma_{\bar{X}} = \frac{1.6}{\sqrt{64} }\\\sigma_{\bar{X}} = 0.2

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The school that Scott goes to is selling tickets to a fall musical. On the first day of ticket sales the school sold 12 adult ti
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Answer:

The price of one adult ticket = $13

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Step-by-step explanation:

Let the price of 1 adult ticket = x

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12 × x + 10 × y = $196

12x + 10y = 196....... Equation 1

The school took in $59 on the second day by selling 3 adult tickets and 5 student tickets

3 × x + 5 × y = $59

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Using Elimination method

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3x + 5y = 59.......... Equation 2 × 10

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Subtract Equation 4 from Equation 3

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Substitute

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5y = 59 - 39

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