Question

Suppose that the expected exam scores from studying economics for 0, 1, 2, or 3 hours...

Suppose that the expected exam scores from studying economics for 0, 1, 2, or 3 hours are 65, 80, 90, and 95 points, respectively, while the expected exam scores for studying 0, 1, 2, or 3 hours of accounting are 50, 65, 70, and 70 points, respectively. With 3 total hours of study time, your combined scores can be maximized by spending _______ hours studying economics. 1 2 3 4

Homework Answers

Answer #1

Option A.

  • With three total hours of study time, your combined scores can be maximize by spending 1 hours studying economics.
  • We know that the marginal benefit is the additional benefit or satisfaction that a person gets by by selecting a choice when other choices are present.
  • With one hour of studing economics, a person can score 80 Mark's and he can score only 65 marks if he spends 1 hour for accounting.
  • This shows that the marginal benefit in terms of the economics score is 15 points ( 80-65) if a person spends 1 hour for it.
  • Hence he can get marginal benefit of 15 point's by spending 1 hour studying economics.
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Suppose you have midterms in economics and astronomy tomorrow. You only have 4 hours to study....
Suppose you have midterms in economics and astronomy tomorrow. You only have 4 hours to study. The table below provides the combinations of time spent studying economics and astronomy and your expected scores. Hours Studying Econ Score Hours Studying Astronomy Score 0 60 0 70 1 80 1 83 2 90 2 87 3 95 3 90 4 98 4 92 a. Draw a PPF. What is the opportunity cost, in terms of your grades, of studying one extra hour...
Suppose we have the following data on scores for two exams: EXAM 1.   EXAM 2     ...
Suppose we have the following data on scores for two exams: EXAM 1.   EXAM 2      90         90      96          92      80         88      70        84      77         86      82        78      75 a. Test to see whether the variances for the two examinations are equal. Test at the 0.05 level. b. Using your result in (a), conduct a t-test to see whether the means for the two examinations are equal. Test...
Consider the following random sample of test scores (in percentages) from a biology final exam. 95     ...
Consider the following random sample of test scores (in percentages) from a biology final exam. 95      65      70      75      74      86      82 95      45      80      72      70      78      72      80 1. Find the five-number summary for this data set. 2. Make a box-and-whisker plot. 3. Find the interquartile range.
The following data represents the exam scores of students in Econ 220 VV22, which is one...
The following data represents the exam scores of students in Econ 220 VV22, which is one of several sections of Econ 220 in a college. You can take this as a sample.                                                                 Student Score 1 82 2 70 3 50 4 60 5 75 6 65 7 55 8 80 9 85 10 90 11 95 12 94 13 35 14 40 15 65 16 95 17 91 18 55 19 65 20 76 21 86 22 96...
The following data gives the scores of 13 students in a Biostatistics exam. 75 80 28...
The following data gives the scores of 13 students in a Biostatistics exam. 75 80 28 70 95 82 75 64 61 90 81 65 91 a) Find the following statistical measures 1. Mean 2. Median 3. Mode 4. Range 5. 34th percentile 6. Interquartile Range 7. Variance 8. Standard deviation 9. Coefficient of variation. b) (Without Calculations) If the instructor decide to add up 5 marks for every student, what are the values of the statistical measures mentioned in...
The following data gives the scores of 13 students in a Biostatistics exam. 75 80 28...
The following data gives the scores of 13 students in a Biostatistics exam. 75 80 28 70 95 82 75 64 61 90 81 65 91 a) Find the following statistical measures 1. Mean 2. Median 3. Mode 4. Range 5. 34th percentile 6. Interquartile Range 7. Variance 8. Standard deviation PRINCIPLES OF STATISTICS Assignment (1) Due Date: 15/7/2020 9. Coefficient of variation. b) (Without Calculations) If the instructor decide to add up 5 marks for every student, what are...
The following paired sample observations are scores for six students chosen at random from Lubbock High...
The following paired sample observations are scores for six students chosen at random from Lubbock High School.  The "before" scores represent their knowledge of English Literature before they studied the subject for a 2-week period.  The "after" scores are their scores after studying English Literature for 2 weeks: Student 1 2 3 4 5 6 before 65 72 55 66 82 90 after 80 78 57 76 91 85 At the .05 significance level, can we conclude that there has been an...
1. Suppose you are trying to decide whether to study for your economics course or play...
1. Suppose you are trying to decide whether to study for your economics course or play basketball. Assume that you can only choose one activity. Studying carries a mental cost of $4 per hour. you gain $10 for the first hour studying, $8 for the second hour, 5$ for the third hour, and$2 for the fourth hour. A) if you choose to study, how many hours should you optimally study?(show work) Playing basketball carries no mental cost. You gain$4 for...
The number of hours 10 students spent studying for a test and their scores on that...
The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the​ data? Use alphaequals0.05. Hours, x   Test score, y 0   40 1   40 2   55 4   49 4   65 5   67 5   73 6   70 7   81 8   93 Setup the hypothesis for the test. Upper H 0H0​: rhoρ ▼ less than or equals≤...
A statistics instructor wonders whether significant differences exist in her students’ final exam scores in her...
A statistics instructor wonders whether significant differences exist in her students’ final exam scores in her three different sections. She randomly selects the scores from 10 students in each section. A portion of the data is shown in the accompanying table. Assume exam scores are normally distributed. Section 1 Section 2 Section 3 60 75 86 94 64 68 56 73 65 57 71 77 60 83 91 86 67 79 66 76 94 85 70 56 82 80 50...