<h3>hello!</h3>
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First of all, let the number be u.
The product of 7 and u means you should multiply 7 times u:

Now, subtract 4:

This expression equals 17:


[Now, let's Find the Value of u]
First, add 4 to both sides:

Now, divide both sides by 7:

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<h3>notes:-</h3>
Hope everything is clear; if you need any clarification /explanation, kindly let me know, and I will comment and/or edit my answer :)
From x=1 to x=5
x=1 is starting time
x=time
y=mx+b
m=slope
b=yintercept
slope=(y2-y1)/(x2-x1)
for points (x1,y1) and (x2,y2)
(1,52000) and (5,116000)
slope=(116000-52000)/(5-1)=64000/4=16000
y=16000x+b
find b
(1,52000)
52000=16000(1)+b
52000=16000+b
minus 16000 from both sides
36000=b
the equation is
y=16000x+36000
at 12 years, x=12
y=16000(x)+36000
y=16000(12)+36000
y=192000+36000
y=228000
sales at year 12 is $228,000
I'm guessing you want to know how much is in one case,
36/3 = 12
Answer:
On this case a margin of error of
means that the true population proportion is 1% above or below the estimated proportion calculated from the sample. And this value helps in order to find the limits for a confidence interval with a confidence given.
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".
The population proportion have the following distribution
Solution to the problem
The margin of error for the proportion interval is given by this formula:
(a)
On this case a margin of error of
means that the true population proportion is 1% above or below the estimated proportion calculated from the sample. And this value helps in order to find the limits for a confidence interval with a confidence given.