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3 years ago

James determined that these two expressions were equivalent expressions using the values of x - 4 and x-6.

Mathematics

1 answer:

Kruka [31]3 years ago

8 0

Answer:

1 - Correct

2 - incorrect

3- incorrect

4 - incorrect

5 - Correct

Step-by-step explanation:

Notice that

3x + 5 + 4x -1 = 3x + 4x + 5 -1 = 7x + 4

therefore the two expressions are equivalent for ANY number, specially x = 4 and x = 6 therefore

1 - Correct

Since that is true for all numbers

2 - incorrect

3- incorrect

4 - incorrect

The expressions are equivalent for all numbers therefore

5 - Correct

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PLZ HURRY <br><br>Find 64% of 25. Use a fraction.

Monica [59]

$25 \times 64\% = 16$

64% if 25 is 16.

$16 = \frac{16}{1}$

I hope that helps!!

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4 years ago

The question is in the photo :)

TEA [102]

I think the first one is D, not sure about the other though! Sorry and also sorry if it’s not right, I’m not too great at maths :/

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3 years ago

Read 2 more answers

What is 21 over 25 by simplifying fractions

Luda [366]

21/25 can't be simplified because they do not have common number which they are divisible by.

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4 years ago

The following six independent length measurements were made (in feet) for a line: 736.352, 736.363, 736.375, 736.324, 736.358, a

enot [183]

Answer:

a) $\bar X =\frac{736.352+736.363+736.375+736.324+736.358+736.383}{6}=736.359$

b) The sample deviation is calculated from the following formula:

$s=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}$

And for this case after replace the values and with the sample mean already calculated we got:

$s= 0.0206$

If we assume that the data represent a population then the standard deviation would be given by:

$\sigma=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n}}$

And then the deviation would be:

$\sigma=0.0188$

Step-by-step explanation:

For this case we have the following dataset:

736.352, 736.363, 736.375, 736.324, 736.358, and 736.383

Part a: Determine the most probable value.

For this case the most probably value would be the sample mean given by this formula:

$\bar X =\frac{\sum_{i=1}^n X_i}{n}$

And if we replace we got:

$\bar X =\frac{736.352+736.363+736.375+736.324+736.358+736.383}{6}=736.359$

Part b: Determine the standard deviation

The sample deviation is calculated from the following formula:

$s=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}$

And for this case after replace the values and with the sample mean already calculated we got:

$s= 0.0206$

If we assume that the data represent a population then the standard deviation would be given by:

$\sigma=\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n}}$

And then the deviation would be:

$\sigma=0.0188$

5 0

4 years ago

Or a very large set of data the measured mean is found to be 288.6 with a standard deviation of 21.2. assuming the data to be no

SashulF [63]

The 68-95-99.7 rule tells us 68% of the probability is between -1 standard deviation and +1 standard deviation from the mean. So we expect 75% corresponds to slightly more than 1 standard deviation.

Usually the unit normal tables don't report the area between -σ and σ but instead a cumulative probability, the area between -∞ and σ. 75% corresponds to 37.5% in each half so a cumulative probability of 50%+37.5%=87.5%. We look that up in the normal table and get σ=1.15.

So we expect 75% of normally distributed data to fall within μ-1.15σ and μ+1.15σ

That's 288.6 - 1.15(21.2) to 288.6 + 1.15(21.2)

Answer: 264.22 to 312.98

8 0

4 years ago