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cricket20 [7]
3 years ago
10

Number 1- equivalent expression for 3(x +5) +4x -8?

Mathematics
1 answer:
Dominik [7]3 years ago
6 0

Answer: look at the picture

Step-by-step explanation: Hope this help :D

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Write the equation of a line given the point (-3,4) m= -1
Leno4ka [110]

Answer:

Step-by-step explanation:

Point-slope equation for line of slope -1 that passes through (-3,4):

y-4 = -1(x+3)

8 0
3 years ago
Will give brainliest if answered both questions.
Kryger [21]

Answer: i dont know the first question but

for the second question  its 125

pls tell me if its wrong and if you get to answer again then i will see if i can try to get it :)

6 0
2 years ago
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Given the geometric sequence where a1 = 2 and r = √2 find a9<br><br> 32<br> 32√2<br> 256<br> 256√2
pentagon [3]
A9=a1*r^8

a9= 2*V2^8=2*2^4=2^5

⇒ a9 = 32
4 0
3 years ago
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800 people attended a basketball game. 584 of the people attending supported the home team, while 216 supported the visiting tea
lord [1]

Answer:

20

Step-by-step explanation:

nor for sure sry

3 0
3 years ago
A researcher studying reaction time of drivers states that, "A 95% confidence interval for the mean time (8.1) it takes for a dr
Sergio039 [100]

Answer:

For this case we know that the confidence interval is given by (1.2 , 1.8) and the point of estimate for \mu would be:

\bar X = \frac{1.2+1.8}{2}= 1.5

And the margin of error is given by:

ME = \frac{1.8-1.2}{2}= 0.3

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

\bar X represent the sample mean for the sample  

\mu population mean (variable of interest)

s represent the sample standard deviation

n represent the sample size  

Solution to the problem

The confidence interval for the mean is given by the following formula:

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

For this case we know that the confidence interval is given by (1.2 , 1.8) and the point of estimate for \mu would be:

\bar X = \frac{1.2+1.8}{2}= 1.5

And the margin of error is given by:

ME = \frac{1.8-1.2}{2}= 0.3

6 0
4 years ago
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