<span>n = 5
The formula for the confidence interval (CI) is
CI = m ± z*d/sqrt(n)
where
CI = confidence interval
m = mean
z = z value in standard normal table for desired confidence
n = number of samples
Since we want a 95% confidence interval, we need to divide that in half to get
95/2 = 47.5
Looking up 0.475 in a standard normal table gives us a z value of 1.96
Since we want the margin of error to be ± 0.0001, we want the expression ± z*d/sqrt(n) to also be ± 0.0001. And to simplify things, we can omit the ± and use the formula
0.0001 = z*d/sqrt(n)
Substitute the value z that we looked up, and get
0.0001 = 1.96*d/sqrt(n)
Substitute the standard deviation that we were given and
0.0001 = 1.96*0.001/sqrt(n)
0.0001 = 0.00196/sqrt(n)
Solve for n
0.0001*sqrt(n) = 0.00196
sqrt(n) = 19.6
n = 4.427188724
Since you can't have a fractional value for n, then n should be at least 5 for a 95% confidence interval that the measured mean is within 0.0001 grams of the correct mass.</span>
Answer:
in the similar hundreds place except in 83.628 it is the the hundre'ths' place which is different
Step-by-step explanation:
Answer:
90°
Step-by-step explanation:
sample answer given on edge
Answer:
ok the second one the answer is 66
Step-by-step explanation:
- we get that <em><u>x</u></em><em><u>=</u></em><em><u>1</u></em><em><u>8</u></em><em><u>0</u></em><em><u>/</u></em><em><u>4</u></em><em><u>8</u></em><em><u>/</u></em><em><u>2</u></em><em><u>=</u></em><em><u>6</u></em><em><u>6</u></em><em><u> </u></em><em><u>hope</u></em><em><u> </u></em><em><u>this</u></em><em><u> </u></em><em><u>helps</u></em><em><u> </u></em><em><u>I</u></em><em><u> </u></em><em><u>wanted</u></em><em><u> </u></em><em><u>to</u></em><em><u> </u></em><em><u> </u></em><em><u>help</u></em><em><u> </u></em><em><u>you</u></em><em><u> </u></em><em><u>just</u></em><em><u> </u></em><em><u>for</u></em><em><u> </u></em><em><u>a</u></em><em><u> </u></em><em><u>thx</u></em><em><u> </u></em>
Greatest Common Is The More Times It Can Go In To That Number. And The Least Is The Least Many Times.
