Answer: 480 units^2
IN DEPTH EXPLANATION TO HELP YOU FOR FUTURE PROBLEMS:
Front:
b*h/2 = sa
12*5/2 = 30
Front = 30 units^2
Back:
b*h/2 = sa
12*5/2 = 30
Back = 30 units^2
Right:
w*l = sa
14*13 = 182 units^2
Right: 182 units*2
(figures out the length by using
pythagorean theorem)
Left:
w*l = sa
5*14 = 70 units^2
Left: 70 units^2
Bottom:
w*l = sa
12*14 = 168 units^2
ADD ALL THE UNITS:
168 + 70 + 182 + 30 + 30 = 480
5x + 2y = 7 . . . (1)
y = x + 1 . . . (2)
Putting (2) into (1) gives
5x + 2(x + 1) = 7 => 5x + 2x + 2 = 7 => 7x = 7 - 2 = 5 => x = 5/7
From (2) y = 5/7 + 1 = 12/7
Therefore, solution is {(5/7, 12/7)}
Answer:
0.444
Step-by-step explanation:
Answer:
a
The null hypothesis is 
The alternative hypothesis 
b
The 95% confidence interval is 
Step-by-step explanation:
From the question the we are told that
The population mean is 
The sample size is n = 30
The sample mean is 
The standard deviation is 
Given that the confidence level is
then the level of significance is mathematically represented as


=> 
Next we obtain the critical value of
from the normal distribution table
The value is 
Generally the margin of error is mathematically represented as

substituting values


The 95% confidence interval confidence interval is mathematically represented as

substituting values

