Answer:
we recommnend to buy this bracket
Explanation:
The computation is shown below:
Given tyhat
Buying cost of the machine = $33,000 = x
x_1 = $0.67
And, x_2 = $0.41
Now the break even point is
X = x ÷ (x_1 - x_2)
= $33,000 ÷ ($0.67 - $0.41)
= 126,923 units
Therefore
Probability (Demand > Break even point)
= 1 -
($126,923 - 100,000) ÷ 10,000
= 1 -
(2.69)
= 0.36%
where
= function of cumulative distribution of N (0,1)
Therefore the probability is that it makes economically the items would be lesser
Thus, we recommnend to buy this bracket
Answer:
The probability is 1.
Explanation:
Despite that the he distribution is positively skewed, the distribution of sample means of one-bedroom apartments will still be a a normal distribution based on Central Limit Theorem.
Since we have
μ = mean = 2200
SD = standard deviation = 250
n = sample size = 50
Therefore,
Standard error = SD ÷ √n
= 250 ÷ √50
= 250 ÷ 7.07106781186548
= 35.3553390593274 approximately 35.36
Standardize xbar to z = (xbar - μ) ÷ (SD ÷ √n)
Therefore, we have:
P(xbar > 1,950) = P(z > (1,950 - 2200) ÷ 35.36)
= P(z > - 250 ÷ 35.36)
= P(z > -7.07) = 1
Therefore, the probability of selecting a sample of 50 one bedroom apartments is 1 which can be said to be certain.
Answer:
The correct option is is A, predatory pricing
Explanation:
Predatory pricing is an illegal approach to pricing where a firm fixes a very low price in order to send competitors out of business.
This is very applicable to a firm that has economies of scale where its cost per unit reduces as more and more units are produced, making it possible to undercut competitors without feeling much impact in profitability.
This approach is against the anti-trust law as it paves for a monopoly market,where only one firm operating in the market determines the price which is not likely to be favorable to consumers