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3 years ago

Which option please I need help ASAP reply ASAP

Mathematics

2 answers:

IrinaK [193]3 years ago

8 0

Answer:

The answer is probably c

Step-by-step explanation:

its deducted by the x axis

Dafna1 [17]3 years ago

5 0

Answer:

Step-by-step explanation:

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I Need Help With My Work <br><br>x-9=-5

Ede4ka [16]

Add 9 to both sides to get the x-value alone

x-9=-5
x=4

6 0

3 years ago

Distance between riverside and milton if they are 12 cm apart on a map with a scale of 4cm : 21 (?

solniwko [45]

You dont have anything that we can answer to.

7 0

3 years ago

Sorry I need it asap in I will give 5 stars to all the answers

Fantom [35]

Answer:

A. the equality means that the two equations should be equal in a certain x value. Solving the x for these equation gives you the x point where the 2 equations intersect.

B. The x value where the funcionts intersect is x = 1

Step-by-step explanation:

You can solve the x value using natural logarithms.

If you make a table for the two functions you will also see the result:

Value y = 8^x y = 2^(x+2)

-3 0,00195 0,5

-2 0,0156 1

-1 0,125 2

0 1 4

1 8 8

2 64 16

3 512 32

8 0

3 years ago

Pls Help!!!!!

lisabon 2012 [21]

Answer:

That is good! Just plug them in the graph and you should be good. Also this should be a parabola correct?

Step-by-step explanation:

6 0

3 years ago

Read 2 more answers

A distance AB is observed repeatedly using the same equipment and procedures, and the results, in meters, are listed below: 67.4

skad [1K]

Answer:

a) $\bar X =\frac{67.401+67.400+67.402+67.396+67.406+67.401+67.396+67.401+67.405+67.404}{10}=67.401$

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:

$s=0.0036$

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:

$\sigma =0.00319$

Step-by-step explanation:

For this case we have the following dataset:

67.401, 67.400, 67.402, 67.396, 67.406, 67.401, 67.396, 67.401, 67.405, and 67.404

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:

$\bar X =\frac{67.401+67.400+67.402+67.396+67.406+67.401+67.396+67.401+67.405+67.404}{10}=67.401$

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:

$s=0.0036$

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:

$\sigma =0.00319$

3 0

3 years ago