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Paraphin [41]
3 years ago
14

What is the answer to 1/4(12+x)+1/2(x-6)

Mathematics
1 answer:
FrozenT [24]3 years ago
4 0

Answer:

The answer is 3/4x.

Step-by-step explanation:

1/4( 12+x ) + 1/2( x-6 )         Distribute

= 3 + 1/4x + 1/2x - 3           Combine like terms, 3 and -3 cancels out

= 3/4x

<h3><u><em>Hope this helps!!! </em></u></h3><h3><u><em>Please mark this as brainliest!!! </em></u></h3><h3><u><em>Thank You!!! </em></u></h3><h3><u><em>:)</em></u></h3>
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a model sailboat like the one shown below was built using a scale of 1cm = 12ft. if the actual length of the boat is 84ft, how l
kaheart [24]

For every 12 foot of boat you have 1 cm on the model.

So the length of the model = 84 / 12 = 7 cms  Answer

4 0
3 years ago
Ysidra paints a room that has 400 square feet of wall space in 2 and a half hours. at this rate, how long will it take her to pa
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3 years ago
For two events and , the probability that occurs is 0.8, the probability that occurs is 0.4, and the probability that both occur
sergey [27]

Answer:

P(B|A)=0.25  , P(A|B) =0.5

Step-by-step explanation:

The question provides the following data:

P(A)= 0.8

P(B)= 0.4

P(A∩B) = 0.2

Since the question does not mention which of the conditional probabilities need to be found out, I will show the working to calculate both of them.

To calculate the probability that event B will occur given that A has already occurred (P(B|A) is read as the probability of event B given A) can be calculated as:

P(B|A) = P(A∩B)/P(A)

      = (0.2) / (0.8)  

P(B|A)=0.25

To calculate the probability that event A will occur given that B has already occurred (P(A|B) is read as the probability of event A given B) can be calculated as:

P(A|B) = P(A∩B)/P(B)

          = (0.2)/(0.4)

P(A|B) =0.5

7 0
3 years ago
Solve the system of equations by substitution. y = 2x y = x +1​
Veronika [31]

Step-by-step explanation:

y = 2x

y = x + 1

y-1 = x

y = 2x

y = 2 (y - 1)

y = 2y - 1

y = -1

7 0
3 years ago
Which of the following is NOT true for a hypothesis test for​ correlation? Choose the correct answer below. A. If ​|r|less than
pantera1 [17]

Answer:

Answer explained

Step-by-step explanation:

From the information, the true statements for a hypothesis test for correlation is,

If the​ P-value is less than or equal to the significance​ level, we should reject the null hypothesis and conclude that there is sufficient evidence to support the claim of a linear correlation.

If |r| less than or equals critical value, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.

If the​ P-value is greater than the significance​ level, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.

<u>Explanation</u>

According to the decision rule of P-value approach, observe that if the​ P-value is less than or equal to the significance​ level, then there is evidence to reject the null hypothesis and conclude that there is sufficient evidence to support the claim of a linear correlation.

Similarly, if the​ P-value is greater than the significance​ level, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.

According to the critical value approach, observe that if the test statistic value is greater than the critical value, then there is evidence to reject the null hypothesis and conclude that there is sufficient evidence to support the claim of a linear correlation.

- If |r| greater than critical value, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.  

<u>Explanation </u>

Based on the decision rules of the hypothesis test, the false statement about the test for a correlation is, if |r| less than or equals critical value, we should fail to reject the null hypothesis and conclude that there is not sufficient evidence to support the claim of a linear correlation.

3 0
3 years ago
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