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3 years ago

Can someone please help find the answer and explain how you got it please.

Mathematics

2 answers:

tresset_1 [31]3 years ago

4 0

Answer:

Step-by-step explanation:

Hello!

We put in 2 for x and 6 for y

$\frac{2(6)-2}{2}$

Now we can solve this

$\frac{12 - 2}{2}$

$\frac{10}{2} = 5$

The answer is 5

Hope this helps!

g100num [7]3 years ago

3 0

So if y = 6 then you do 2(6) which is twelve and then subtract by 2 so the numerator will be 10.

Then if x = 2 then you put it at the bottom and there is nothing so it stays at a 2.

Lastly, you just do 10/2 which is division so the answer is 2.

HOPE THIS HELPS

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What is the square root of 20

ahrayia [7]

Answer:

4.472135955

Step-by-step explanation:

I used a Calculator

$\sqrt20$

3 0

3 years ago

Read 2 more answers

3. A new process has been developed for applying pho toresist to 125-mm silicon wafers used in manufac turing integrated circu

dlinn [17]

Answer:

The null hypothesis is $H_o : \mu = 13.4000$

The alternative hypothesis is $H_a : \mu \ne 13.4000$

The null hypothesis is rejected

The 99% confidence level is $13.3930 < \mu < 13.3994$

Step-by-step explanation:

From the question we are told that

The sample size is n = 10

The population mean is $\mu = 13.4 000 \ angstroms$

The level of significance is $\alpha = 0.05$

The sample data is

13.3987, 13.3957, 13.3902, 13.4015, 13.4001, 13.3918, 13.3965, 13.3925, 13.3946, and 13.4002

Generally the sample mean is mathematically represented as

$\= x = \frac{13.3987+ 13.3957\cdots +13.4002 }{10}$

=> $\= x = 13.3962$

Generally the sample standard deviation is mathematically represented as

$\sigma = \sqrt{\frac{\sum (x_i - \= x)^2}{n} }$

=> $\sigma = \sqrt{\frac{ (13.3987 - 13.3962)^2 + (13.3987 - 13.3962)^2 + \cdots + (13.3987 -13.4002)^2 }{10} }$

=> $\sigma =0.0039$

The null hypothesis is $H_o : \mu = 13.4000$

The alternative hypothesis is $H_a : \mu \ne 13.4000$

Generally the test statistics is mathematically represented as

$z = \frac{\= x - \mu}{\frac{\sigma}{\sqrt{n} } }$

=> $z = \frac{13.3962 - 13.4000}{\frac{0.0039}{\sqrt{10} } }$

=> $z = 3.08$

Generally the p-value is mathematically represented as

$p-value = 2P( z > 3.08)$

From the z-table $P(z > 3.08)= 0.001035$

$p-value = 2* 0.001035$

$p-value = 0.00207$

So from the obtained value we see that

$p-value < \alpha$

Hence the null hypothesis is rejected

Consider the b question

Given that the confidence level is 99% then the level of significance is

$\alpha = (100 -99)\%$

=> $\alpha = 0.01$

Generally from the normal distribution table critical value of $\frac{\alpha }{2}$ is

$Z_{\frac{\alpha }{2} } = 2.58$

Generally the margin of error is mathematically represented as

$E = Z_{\frac{\alpha }{2} } * \frac{\sigma}{\sqrt{n} }$

=> $E = 2.58 * \frac{0.0039}{\sqrt{10} }$

=> $E = 0.00318$

Generally the 99% confidence interval is mathematically represented as

$13.3962 - 0.00318 < \mu < 13.3962 + 0.00318$

=> $13.3930 < \mu < 13.3994$

7 0

3 years ago

I need help with number 16 i need the answer by 8:45 please. Thank you

Nadusha1986 [10]

Type o ( ii) = 6 . 25

Type A ( l^A l ^A or l ^A i ) = 18 . 75

Type B ( l ^b l^b or l ^ bi ) = 18.75

Type AB ( l ^ A l^ B) = 56.25

3 0

3 years ago

The plane that contains points C and T can also be named plane...

Mnenie [13.5K]

Answer:

A) CUB

Step-by-step explanation:

Of the suggested planes, only CUB contains both points C and T.

___

<em>Comments on the other answer choices</em>

BED contains point T, but not C

ACE contains point C, but not T

ABE contains neither C nor T

6 0

3 years ago

A scientist measures a substance to be 0.8 grams. Calculate the percent of error in the measurement. Show all work for full cred

Volgvan

You'll need to give a bit more information for the question to be answered. You can only calculate the percentage of error if you know what the mass of the substance *should be* and what you've *measured* it to be.

In other words, if a substance has a mass of 0.55 grams and you measure it to be 0.80 grams, then the percent of error would be:

percent of error = { | measured value - actual value | / actual value } x 100%

So, in this case:

percent of error = { | 0.80 - 0.55 | / 0.55 } x 100%
percent of error = { | 0.25 | / 0.55 } x 100%
percent of error = 0.4545 x 100%
percent of error = 45.45%

So, in order to calculate the percent of error, you'll need to know what these two measurements are. Once you know these, plug them into the formula above and you should be all set!

6 0

3 years ago