Answer:
x=1
Step-by-step explanation:
Answer:
6h = 36ft + 3h
The height h of each floor is 12ft
Step-by-step explanation:
From the question,
The two buildings have the same total height.
Let the total height of each building be H, that is
H (for one building) = H (for the other building)
Also,
For one building, there are 6 floors each with height h, that is
H = 6h
For the other building, there is a ground floor of 36 ft and 3 other floors each with height h, that is
H = 36ft + 3h
To find the height h of each floors,
Since the two buildings have the same total height, we can write that
H (for one building) = H (for the other building),
Then,
6h = 36ft + 3h
This is an equation that could be used to find height h.
To solve for h,
6h = 36ft + 3h
Then,
6h - 3h = 36ft
3h = 36ft
h = 36ft / 3
h = 12ft
Hence, the height h of each floor is 12ft
Answer:
The probability of selecting a sample which doesn't capture the true value of μ would be 10% rather than 5% if they decide to calculate a 90% confidence interval rather than a 95% confidence interval from the sample they will select.
Step-by-step explanation:
The correct answer is the last statement, but first, let's look at the other statements:
<em>Their confidence interval would be less likely to capture the </em><em>sample </em><em>mean.</em>
This statement is not correct because the <em>confidence </em>of a confidence interval gives us the probability of capturing the true value of the population mean.
<em>They would </em><em>decrease </em><em>the margin of error of their confidence interval if they calculated a 90% rather than a 95% confidence interval.</em>
If we want more confidence we must establish more precision, which means more error. In other words if the confidence increases so does the error for a fixed sample size. The second statement is false.
<em>The probability of selecting a sample which doesn't capture the true value of μ would be 10% rather than 5% if they decide to calculate a 90% confidence interval rather than a 95% confidence interval from the sample they will select.</em>
As stated before the <em>confidence </em>of a confidence interval is the probability that the interval contains the true value of μ. Therefore, if we increase the confidence from 95% to 90% then this probability also increases. A 90% confidence means that there's a 10% probability of not containing the true mean. Likely, a 95% confidence means that there's a 5% probability of not containig the true mean. The third statement is true.
Answer:
56.54 will be the circumference if 9 is the radius......
Hope it helps!!!
I do it when the numbers are to big but that's me
