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Q1) "Investment" (zero cost) has 80% chance of paying $125 and a 20% chance of losing $375. I understand that expected payout is (.8x$125)-(.2x$375)=$25. I can make this "investment" every month. Or we can say, how much money do I need to have say 98% probability of not going broke and being able to reap expected long them expected pay-off of the $25/month".
Revenue and cost functions for producing and selling quantity x for certain production facility are given below.
R(x) = 12x - x2
C(x) = 18 + 3x
a) Find out profit function P(x).
b) Use Excel to sketch functions R(x), C(x) and P(x) for the interval 0≤ x ≤ 10. Copy and paste graph below. Use Scatter plot with smooth lines and markers.
c) Calculate the break-even quantities.
d) Find out the marginal revenue R'(x).
e) Find out the marginal cost C'(x)
f) At what quantity is profit maximized?
On the same chart, produce a graph showing the original probability mass function, and a line graph showing your selected continuous probability density function.
A coin was flipped 60 times and came up heads 36 times. Determine the critical value you would use to test whether proportion of heads is greater than 0.50 at 10% level of significance?
At 0.01 significance level can we conclude that mean fare has increased? Determine the p-value?
Test the claim that for the adult population of one town, the mean annual salary is given by μ = $30,000.
Calculate a 95% confidence interval for the population mean, based on the sample 10, 12, 13, 14, 15, 16, and 49.
What is your null hypothesis? What is your alternative hypothesis? What your decision about the null hypothesis?
Determine the largest village in terms of the population?
illustrate briefly how an experimental study is conducted. What is the difference between the two types of variables used.
Evaluate your histograms for any outliers in your data. Based on your evaluation of outliers, you may trim no more than 1% of the data contained in the data set. This must be done symmetrically (i.e., trimming no more than 0.5% off the top and 0.5..
What is the probability that in a sample of 10 pieces: 5 or more will be defective?
What are the mean and the standard deviations for the population of produced with this process?
To forcast the sample size within 0.02 with 90 percent confidence. The CEO of the organization needs to forcast the proportion of Canadians who own their house.
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