Archive for month: September, 2020

What advertisements, news stories, and other media images and content have you encountered or interacted with today? What is the cumulative effect of these media? Are these positive messages, negative messages, or do they have another effect? 

A cell phone company wants to determine if its cell tower, which can simultaneously process 20,000 calls, will be able to handle call volume in a rapidly growing area

for the next 5 years. They collect the following data:

The current population serviced by this cell tower is 65,000.

a. If the mean number of concurrent telephone users is 11,000, what is the probability that the tower will be able to handle the call volume 3 years, 4 years, and 5

years from now, assuming that the population of the area grows at 8.3% per year?

Patients having stomach, colon, ovary, bronchus, or breast cancer were treated with ascorbate. The objective of the study was to identify if the number of days a patient survived was influenced by the organ affected. Our dependent variable is Survival measured in days. Our independent variable is Organ. The data is available at http://lib.stat.cmu.edu/DASL/Datafiles/CancerSurvival.html. Run a one-way ANOVA to determine whether there are differences in mean survival times, and report your results. Then check the assumptions of normality and homogeneity. If either is violated, re-run your analysis with a transformed response variable. Don’t forget to check the assumptions of the transformed model. 

Question 2. Consider a simple economy with two types of workers. There are capable workers (type A), constituting 70% of the population, with remaining workers (type B) being of average ability. There are two types of job opportunities as well, labeled Good and Bad. In a Bad job, either type of worker produces 20 units of output. In a Good job, Type A worker produces 80 units, and the Type B worker produces 0. The economy is doing well so there is enough demand for workers. This means that for each type of job companies must pay what they expect the employee to produce. Companies must hire each worker without observing his type and pay him before knowing his actual output. But Type A workers can signal their qualification by getting educated. For a Type A worker, the cost of getting educated to level n is 0.4n2, whereas for a Type B worker, it is n2. These costs are measured in the same units as output, and n must be an integer.

(a) What is the minimum level of n that will achieve separation?

(b) Now suppose the signal is made unavailable. Which kind of jobs will be filled by which kinds of workers and at what wages? Who will gain and who will lose from this change?

The question is Burlin company starts the year with $188,000 in assets and $37,600 in liabilities. Net income for the year is $47,000, and no dividends are paid. How much is owners’ equity at the end of the year?

So what I thought what i would have to do is add the 188,000 and the net income (47,000) to get $235,000. Then I would take the equation assets = liability + owners’ equity. I would plugin $235,000 = $37,600 + owners’ equity. Which I would find out by subtracting the 37,600 from the other side and end up with $197,400 for owners’ equity.