Currently, a monopolist’s profit-maximizing output is 200 units per week and it sells its output at a price of $70 per unit. The firm’s total costs are $10,000 per week. The firm is maximizing its profit, and it earns $35 in extra revenue from the sale of the last unit produced each week.
Instructions:
Enter your answers as whole numbers.
a. What are the firm's weekly economic profits?
b. What is the firm's marginal cost?
c. What is the firm's average total cost?

Refer to the payoff matrix. suppose that speedy bike and power bike are the only two bicycle manufacturing firms serving the market. both can choose large or small advertising budgets. is there a nash equilibrium solution to this game?

The following information is for alex corp: product x: revenue $12.00 variable cost $4.50 product y: revenue $44.50 variable cost $9.50 total fixed costs $75,000 what is the breakeven point assuming the sales mix consists of two units of product x and one unit of product y?

Reliability and validity reliability and validity are two important considerations that must be made with any type of data collection. reliability refers to the ability to consistently produce a given result. in the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. to illustrate this concept, consider a kitchen scale that would be used to measure the weight of cereal that you eat in the morning. if the scale is not properly calibrated, it may consistently under- or overestimate the amount of cereal that’s being measured. while the scale is highly reliable in producing consistent results (e.g., the same amount of cereal poured onto the scale produces the same reading each time), those results are incorrect. this is where validity comes into play. validity refers to the extent to which a given instrument or tool accurately measures what it’s supposed to measure. while any valid measure is by necessity reliable, the reverse is not necessarily true. researchers strive to use instruments that are both highly reliable and valid.