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guapka [62]
3 years ago
10

Solve the equation

lt=" \sqrt{x} -6+2=6" align="absmiddle" class="latex-formula">for the variable. Show each step of your solution process.

Mathematics
1 answer:
FromTheMoon [43]3 years ago
4 0
Hope this helped you :)

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What's the graph of y=3x-5​
Svetach [21]

Answer:

Step-by-step explanation:

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2 years ago
Solve the equation. Check your solution.
zzz [600]
I’m pretty sure it’s -4
3 0
2 years ago
Are these ratios equivalent?
Alika [10]

Answer:

A. Yes

Step-by-step explanation:

Ok so let's simplify the ratios.

25:10 = 5:2

35:14 = 5:2

These ratios in their simplest form are equal which means yes they are equivalent to each other

8 0
2 years ago
Which of the following is an example of the additive identity?<br> a +(-a) = 0<br> a+0=0<br> a+0= a
UNO [17]

Answer:

a+0= a

Step-by-step explanation:

we know that

The <u>additive identity</u> property says that if you add a real number to zero or add zero to a real number, then you get the same real number back

so

Let

a -----> a real number

a+0=0+a=a

therefore

a+0= a

4 0
3 years ago
Consider the following hypothesis test. : : The following results are for two independent samples taken from two populations. Ex
I am Lyosha [343]

Answer:

z = -1.53 --- test statistic

p = 0.1260 --- p value

Conclusion: Fail to reject the null hypothesis.

Step-by-step explanation:

Given

n_1 = 80     \bar x_1= 104   \sigma_1 = 8.4

n_2 = 70    \bar x_2 = 106    \sigma_2 = 7.6

H_o: \mu_1 - \mu_2 = 0 --- Null hypothesis

H_a: \mu_1 - \mu_2 \ne 0 ---- Alternate hypothesis

\alpha = 0.05

Solving (a): The test statistic

This is calculated as:

z = \frac{\bar x_1 - \bar x_2}{\sqrt{\frac{\sigma_1^2}{n_1} + \frac{\sigma_2^2}{n_2} }}

So, we have:

z = \frac{104 - 106}{\sqrt{\frac{8.4^2}{80} + \frac{7.6^2}{70} }}

z = \frac{104 - 106}{\sqrt{\frac{70.56}{80} + \frac{57.76}{70}}}

z = \frac{-2}{\sqrt{0.8820 + 0.8251}}

z = \frac{-2}{\sqrt{1.7071}}

z = \frac{-2}{1.3066}

z = -1.53

Solving (b): The p value

This is calculated as:

p = 2 * P(Z < z)

So, we have:

p = 2 * P(Z < -1.53)

Look up the z probability in the z score table. So, the expression becomes

p = 2 * 0.0630

p = 0.1260

Solving (c): With \alpha = 0.05, what is the conclusion based on the p value

We have:

\alpha = 0.05

In (b), we have:

p = 0.1260

By comparison:

p > \alpha

i.e.

0.1260 > 0.05

So, we fail to reject the null hypothesis.

4 0
2 years ago
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