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You are working on an analysis of your company's current cost structure reviewing the various fixed and variable costs within your firm. Your objective is to maximize your firms profit. In reviewing your current sales you are confident that you will reach a sales level of 50,000 units. Your fixed costs are presently $550,000 with a variable cost per unit of $32 per unit and a sales price of $55. Options are:
a. increase your fixed costs by $125,000 which will decrease variable costs by $14 per unit.
b. remove $200,000 of your fixed costs which will increase your variable costs by $19 per unit
c. decrease your sales price by $11 in order to increase sales by 8,000 units
which of the above alternatives would you choose to increase profits?
which of the above alternatives would you choose to decrease risk?
Compute the probability that debt for a randomly selected borrower with good credit is more than $18,000?
If you assume returns follow a normal distribution, which investment would give a better chance of getting at least a $40 million return? Explain how your answer could change if you knew returns followed a skewed distribution instead of a normal d..
Suppose that a quarter is randomly selected, what is the probability that this quarter has high productivity growth and has a large pay increase?
Fit a linear regression model for bp against sodium. Do you think this is a model with a good fit? Why?
Confidence interval for the true mean and Evaluate the 95% confidence interval for the true mean advertising expense?
Carry out test of independence to find out whether employee health insurance coverage is independent of size of company. Use α = 0.05 level of significance.
The mean difference in total cholesterol levels (after - before) was 27.138 mg/dL with a standard deviation of 7.3685 mg/dL. Create a 95% confidence interval for the true average difference in cholesterol levels by the drug.
The standard deviation of is usually called the A. randomized standard error B. standard error of the sample C. standard error of the population D. standard error of the mean
Average Precipitation For the first 7 months of the year, the average precipitation in Toledo, Ohio, is 19.32 inches. If the average precipitation is normally distributed with a standard deviation of 2.44 inches, find these probabilities.
Test the hypotheses that the average household income in the township is greater than $100,000. Hint: Start by stating the null and alternative hypotheses.
Consider binomial distribution with 14 identical trials, and probability of success of 0.4.
A manufacturer of a chemical used in glue, attempting to control the amount of a hazardous chemical its workers are exposed to, has given instructions to halt production if the mean amount in the air exceeds 3.0 ppm.
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