Emily thought for a moment and then solved the problem. She calculated the total revenue as 250 loaves x $2 = $500, and the total cost as 250 loaves x $0.50 = $125. Then, she subtracted the cost from the revenue to get the profit: $500 - $125 = $375.
With these questions and many more, Emily felt well-prepared for the GRE math section. She was confident that she could tackle any problem that came her way. On test day, she walked into the exam room feeling calm and focused. When the results came back, she had scored highly in the math section, and she knew that she was one step closer to getting into her dream business school.
A certain stock has a beta of 1.2 and an expected return of 10%. If the risk-free rate is 4%, what is the expected return on the market?
Feeling confident, Emily moved on to the next question: gre math prep questions
A company has 5 employees with salaries: $50,000, $60,000, $70,000, $80,000, and $90,000. What is the median salary?
Emily had heard that the GRE was a tough exam, especially the math section. She had always been strong in math, but she knew that she needed to prepare thoroughly to get a good score. She started by taking a prep course and practicing with sample questions.
Emily arranged the salaries in order and found the middle value: $70,000. Emily thought for a moment and then solved the problem
Finally, Emily encountered a permutation and combination question:
A committee of 3 people is to be formed from a group of 6 people. How many different committees are possible?
As a data analyst, Emily had always been fascinated by the world of finance. She spent most of her free time reading about investing and analyzing market trends. So, when she decided to pursue her MBA, she knew that she had to take the Graduate Record Examinations (GRE) to get into her dream business school. With these questions and many more, Emily felt
One day, while practicing, Emily came across a question that made her scratch her head:
Emily recalled the Capital Asset Pricing Model (CAPM) formula: E(R) = Rf + β(E(Rm) - Rf). She plugged in the values and solved for E(Rm): 10% = 4% + 1.2(E(Rm) - 4%). After some algebra, she got E(Rm) = 8.33%.
Emily calculated the total number of favorable outcomes (hearts or diamonds) as 26, and the total number of possible outcomes as 52. The probability was then 26/52 = 1/2.
A deck of 52 cards has 4 suits (hearts, diamonds, clubs, and spades), each with 13 cards. If a card is randomly drawn, what is the probability that it is a heart or a diamond?