Answer:
( $74.623, $83.777)
The 90% confidence interval is = ( $74.623, $83.777)
Critical value at 90% confidence = 1.645
Step-by-step explanation:
Confidence interval can be defined as a range of values so defined that there is a specified probability that the value of a parameter lies within it.
The confidence interval of a statistical data can be written as.
x+/-zr/√n
Given that;
Mean x = $79.20
Standard deviation r = $10.41
Number of samples n = 14
Confidence interval = 90%
Using the z table;
The critical value that should be used in constructing the confidence interval.
z(α=0.05) = 1.645
Critical value at 90% confidence z = 1.645
Substituting the values we have;
$79.20+/-1.645($10.42/√14)
$79.20+/-1.645($2.782189528308)
$79.20+/-$4.576701774067
$79.20+/-$4.577
( $74.623, $83.777)
The 90% confidence interval is = ( $74.623, $83.777)
Answer:
I believe it is 2s
Step-by-step explanation:
a variable is a symbol which functions as a placeholder, so in this case, the placeholder is "s"
-2x^2 + 500x - 350
You need to plug in the equations for C(x) and R(x) into the equation P(x)= R(x) - C(x) and solve.
Answer:
$74.53
Step-by-step explanation:
16%=0.16
0.16*64.25+64.25
=(0.16+1)*64.25
=$74.53
