AV = AX
2x + 1 = x + 3
x + 1 = 3
x = 2
BV = (2/3)ZV
3x + 2 = (2/3)ZV
3(2) + 2 = (2/3)ZV
6 + 2 = (2/3)ZV
8 = (2/3)ZV
24 = 2ZV
ZV = 12
Answer:
Step-by-step explanation:
Data given and notation
n=1500 represent the random sample taken
estimated proportion of of chips fail in the first 100 hours
is the value that we want to test
represent the significance level
z would represent the statistic (variable of interest)
represent the p value (variable of interest)
Concepts and formulas to use
We need to conduct a hypothesis in order to test the claim that the actual percentage that fail is different from the stated percentage. Find the value of the test statistic.:
Null hypothesis:
Alternative hypothesis:
When we conduct a proportion test we need to use the z statisitc, and the is given by:
(1)
The One-Sample Proportion Test is used to assess whether a population proportion
is significantly different from a hypothesized value
.
Calculate the statistic
Since we have all the info requires we can replace in formula (1) like this:
The answer is D. <span>No, it is not a valid inference because his classmates do not make up a random sample of the students in the school.</span>
Answer:
A: for 500: 66; for 60: 68.9; for 100: 66
B: no
Step-by-step explanation:
We assume your average cost function is ...

A. The overline over the C indicates it is an average value.
Evaluating the cost function at the different production levels, we find the average cost per unit to be ...
<u>500 units</u>
c = ((0.01·500)+60)500 +500)/500 = 65 +1 = 66
<u>60 units</u>
c = ((0.01·60 +60)·60 +500)/60 = 60.6 +500/60 ≈ 68.93
<u>100 units</u>
c = ((0.01·100 +60)·100 +500)/100 = 61 +5 = 66
__
B. Dividing out the fraction, we find that the cost per unit is ...
0.01x +60 +500/x
As x gets large, this approaches the linear function c = 0.01x +60. This <em>increases</em> as the number of units produced rises. (The minimum average cost is at a production level of about 224 units.)
Answer:
$43.04
Step-by-step explanation:
multiply the original price by .55