Use the following table to answer this question Output Total Revenue Total Cost 1 $ 4 2 2 8 3 3 12 6 4 16 9 5 20 14   a.  Using the rule for profit maximization of MC=MR,  what is the short-run profit-maximizing level of output for the firm? (show your calculations) b.   What type of firm is this?  How do you know? c.  Suppose the price of this product increases to $5 per unit but costs stay the same,  what output should this firm produce now?   d.  What industry would this firm belong to?  Why do you say that?  

1)  Give an example of a business you are familiar with  (you either work in this industry or plan to).  Which industry does this business belong?  List the business’  fixed and variable costs  (at least 3 of each) 2)  Explain the difference between the decision to shutdown and to exit the industry. 3) Using the example of the business you listed in 1),  why would the owner keep their business open but let it deteriorate, rather than shut it down? 

When using Neuromuscular Electrical Stimulation (NMES) to reduce edema, the amplitude should produce sensory-level electrical stimulation.

You developed a multinomial logit model to analyze brand choice in the frozen pizza category with six brands. After calculation, an individual exhibits the following utilities for each brand: u(Tombstone): 4.2 u(Digiorno): 3.8 u(Freschetta): 4.5 u(Jack’s): 4.0 u(Red Baron): 3.3 u(Tony’s): 4.7 What is the probability this individual will select Freschetta? Please answer in percentages and keep one decimal.

Predict Choice: Pepsi Predict Choice: Others Actual choice: Pepsi 1600 700 Actual choice: Others 690 2000 The table displays the observed choices and the model’s predictions. Based on the table, what is the false positive rate in percentage (keep one decimal)?  

We have the coefficients provided by the marketing mix model, where all coefficients are statistically significant and the dependent variable is log(sales) (natural log): Intercept: 8 Price: -2.0 (price is a continuous variable) Display: 0.6 (display is a discrete variable, 1 if present, 0 otherwise) Feature: 0.3 (feature is a discrete variable, 1 if present, 0 otherwise) Fourth: 0.8 (Fourth is a dummy variable, 1 for the week of the 4th of July, 0 otherwise) Assuming the price is $2.00, in-store display is present, and the feature is absent, calculate the predicted sales during the week of the 4th of July for this scenario. Round your answer to the nearest whole number.

Using the coefficients provided from the marketing mix model, where all coefficients are statistically significant and the dependent variable is log(sales) (natural log). You are considering adding a feature at the end of May. Your price is $2 and there is an in-store display. What is the expected incremental sales? Round your answer to the nearest whole number. Intercept: 8 Price: -2.0 (continuous variable) Display: 0.6 (discrete variable, 1 if present, 0 otherwise) Feature: 0.3 (discrete variable, 1 if present, 0 otherwise) Display*Feature: -0.1 (interaction term between Display and Feature) Fourth: 0.8 (dummy variable, 1 for the 4th of July, 0 otherwise)

The model-building process entails three elements: specification, estimation, and validation. How does the linear regression model differ from a logit model in terms of model specification?

Consider the following two statements:. Programmatic advertising is used for display advertising and not for keyword search campaigns. According to the McKinsey report titled ‘The Consumer Decision Journey,’ consumers are moving outside the traditional purchase path, progressing beyond stages such as ‘awareness,’ ‘familiarity,’ ‘consideration,’ ‘purchase,’ and ‘loyalty.’   Which statement(s) is(are) true?

What is a multivariate web experiment? Construct an example of one such experiment. Using this example, explain how such an experiment could be used for the purpose of decision making?