Answer:
Step-by-step explanation:
Hello!
You need to construct a 95% CI for the population mean of the length of engineering conferences.
The variable has a normal distribution.
The information given is:
n= 84
x[bar]= 3.94
δ= 1.28
The formula for the Confidence interval is:
x[bar]±
*(δ/n)
Lower bound(Lb): 3.698
Upper bound(Ub): 4.182
Error bound: (Ub - Lb)/2 = (4.182-3.698)/2 = 0.242
I hope it helps!
Answer:
<em>the</em><em> </em><em>perim</em><em>eter</em><em>=</em><em> </em><em>1</em><em>0</em><em>+</em><em>4</em><em>W</em><em>.</em>
<em>where</em><em> </em><em>W</em><em>=</em><em> </em><em>the</em><em> </em><em>wid</em><em>th</em><em>.</em>
Step-by-step explanation:
mathematically, perimeter (p)= 2L +2W
where L= length.and W=width
<em>from</em><em> </em><em>the</em><em> </em><em>exp</em><em>ression</em><em> </em><em>;</em><em>length is 5 more than the width</em>
<em>it</em><em> </em><em>is</em><em> </em><em>wri</em><em>tten</em><em> </em><em>as</em><em> </em>L = 5+W
<em>sub</em><em>stitute</em><em> </em><em>in</em><em> </em><em>the</em><em> </em><em>formu</em><em>la</em><em> </em>
P= 2(5+W)+2W
P=10+2W+2W
P=10+4W as the perimeter of the rectangle.
Answer:
y = -x - 1
Step-by-step explanation:
hello,
this is a line, right?
So the equation should be something like
y = ax+b and we need to find a and b
we can see that the points (-1,0) and (0,-1) are in the line so we can write
0 = a*(-1) + b <=> b - a = 0 <=> a = b
-1 = a*0 + b <=> b = -1
so the equation is
y = -x - 1
hope this helps
Suppose there are n observations in a data set consisting of the observations x1, x2, x3, ..., xn.
Rounding rule: round to one more decimal place than the highest number of decimal places contained in the data.
The formula can also be represented as sigma * xi / n.
x bar = SAMPLE MEAN
Mu = POPULATION MEAN
n= sample size
N= POPULATION SIZE
The sum of the deviations from the mean is always equal to 0.
The mean will always be pulled towards any outliers.
Ex: the average price of similar televisions at different stores. This is quantitative data that does not have outliers since the TVs at the different stores are similar
Answer:
1. 8
2. 2.3
3. 1.84
Step-by-step explanation: