Hello!
To find the lateral area you use the equation

You put in the values you know and you get 829.4
To find the surface area you use the equation

Put in the values you know and you get 1209.5
The answer is A
Hope this helps!
Answer: There are 12 white and blue cars more than silver and red cars
Number of white cars: n1=25
Number of blue cars: n2=17
Number of white and blue cars: n3=n1+n2=25+17→n3=42
Number of silver cars: n4=21
Number of red cars: n5=9
Number of silver and red cars: n6=n4+n5=21+9→n6=30
How many more white and blue cars are there than silver and red cars?
n=?
n=n3-n6=42-30→n=12
Answer: There are 12 white and blue cars more than silver and red cars.
Answer:
Average rate of change = 0.1313 or 13.13% (approx.)
Step-by-step explanation:
Given:
Pedestrian fatalities in 2006 = 4,795
Pedestrian fatalities in 2009 = 4,165
Find:
Average rate of change
Computation:
Average rate of change = [4,165-4,795] / 4,795
Average rate of change = [-630] / 4,795
Average rate of change = 0.1313 or 13.13% (approx.)
Solution :
Given :

n = 15

s = 0.5902
The hypothesis :


This is a 2 tailed test.
The significance level is 
The test statistic :


= -0.72
The p value : The p value for Z = -0.72 is 0.4716
The critical value : the critical value at α = 0.05 is +1.96 to -1.96
The decision rule :
If
or if
, then reject
.
Also if p value is less than α, then reject
.
The decision :
Since the Z falls in between +1.96 and -1.96, we fail to reject the
. Also since p value is greater than α, we fail to reject
.
The conclusion :
There is not sufficient evidence at the 95% significance level to warrant rejection of the claim that the pills come from a population in which the amount of the atorvastatin is equal to 25 mg.
Now calculating the mean and the standard deviation :

Standard deviation = 
Variance = 
Where, SS = 
X Mean 
24.1 24.89 0.62
24.4 24.89 0.24
24.3 24.89 0.35
24.9 24.89 0
24.1 24.89 0.62
24.2 24.89 1.72
24.1 24.89 0.04
26.2 24.89 0.04
25.1 24.89 0.24
25 24.89 0.01
24.7 24.89 0.04
25.1 24.89 0.04
25.3 24.89 0.17
25.5 24.89 0.37
25.5 24.89 0.37
n 15
Sum 373.3
Average 24.89
SS 4.8775
Variance =
0.348392857
Standard deviation 0.5902