Simulation and Expected Values: Yale Law School says 74% of their students pass the bar exam on their first try.
To simulate passing students, we could assign the random digits as:
00 to 49 = pass first try, 50 to 99 = fail first try
0 to 7 = pass first try, 8 to 9 = fail first try
00 to 73 = pass first try, 74 to 99 = fail first try
0 to 4 = pass first try, 5 to 9 = fail first try
The outcomes for this experiment are __________________, with a probability of ________________, and __________________, with a probability of __________________.
In: Statistics and Probability
David, a 55 year old high school teacher is a heavy smoker with really poor eating habits. He was admitted to the ER a week ago because he was experiencing symptoms including shortness of breath, chest pain, weakness in his left arm and left leg. He was rushed to the Coronary Care Unit, where clinicians performed Electrocardiogram (ECG) and arteriogram tests. Results showed 80% occlusion of the left main coronary artery.
1. What condition does he have? a) dilated cardiomyopathy, b) atherosclerosis, c) myocardial infarction, d) cardiac arrhythmia, e) endocarditis
2. Which treatment is David most likely to receive for this condition?
3. What are the risk factors for this condition?
4. What are the underlying mechanisms (causes) that result in this condition?
In: Anatomy and Physiology
5. A study was conducted to estimate hospital costs for accident victims who wore seat belts. Twenty randomly selected cases to have a distribution that appears to be bell-shaped with a mean of $9004 and a standard deviation of $5629. Construct the 99% confidence interval for the mean of all such costs.
In: Statistics and Probability
A total of 23 Gossett High School students were admitted to State University. Of those students, 7 were offered athletic scholarships. The school’s guidance counselor looked at each group’s summary statistics of their composite ACT scores, wondering if there was a difference between the groups (those who were not offered scholarships and those who were). The statistics for the 16 students who were not offered scholarships are x̅ = 24.7, s = 2.8 and for the 7 who were, x̅ = 26.5, s = 2.6. Assume that both distributions are approximately normal. Test the counselor’s claim using a 90% Level of Confidence.
We use statcrunch and the p method for homework.
In: Statistics and Probability
Statistics concepts for engineering management:
The data in the table provides: College GPA, High School GPA,
SAT total score, and number of letters of reference.
a. Generate a model for college GPA as a function of
the other three variables.
b. Is this model useful? Justify your
conclusion.
c. Are any of the variables not useful predictors?
Why?
CGPA HSGPA SAT REF
2.04 2.01 1070 5
2.56 3.4 1254 6
3.75 3.68 1466 6
1.1 1.54 706 4
3 3.32 1160 5
0.05 0.33 756 3
1.38 0.36 1058 2
1.5 1.97 1008 7
1.38 2.03 1104 4
4.01 2.05 1200 7
1.5 2.1 896 7
1.29 1.34 848 3
1.9 1.51 958 5
3.11 3.12 1246 6
1.92 2.14 1106 4
0.81 2.6 790 5
1.01 1.9 954 4
3.66 3.06 1500 6
2 1.6 1046 5
In: Statistics and Probability
I drive to school and am currently looking for a parking spot so I can walk to Jacob's. If I turn into a parking lot to look for a spot to park in that specific lot, the process of looking for a spot takes 1 minute of time whether I find a spot or not.
Parking lot A is closest to Jacobs. If I get a spot here, it takes me 1 minute to walk into my class at the business school, however there is only a 10% chance I'll find a spot if I look.
Parking lot B is a 4-minute walk; if I pull in to look for a spot, there is a 30% chance I'll find a spot.
Parking lot C is an 8-minute walk; if I pull in to look for a spot, there is a 100% chance I will find a spot.
Which strategy to find a parking spot is best for me (ie. which order should I check the parking lots for spots to park), assuming we are risk-neutral, and simply want to have the earliest expected arrival time to Jacob’s as possible? (Another way to say this is we want the smallest expected value of time spent getting to Hall).
Now, assume I am risk averse (let’s say that in this second case, my class starts in 10 minutes, and there is a large decrease in my utility if I am late for class). Is the best strategy the same as when I am risk-neutral, or has it changed?
In: Statistics and Probability
Reba Dixon is a fifth-grade school teacher who earned a salary
of $38,000 in 2020. She is 45 years old and has been divorced for
four years. She receives $1,200 of alimony payments each month from
her former husband (divorced on 12/31/2016). Reba also rents out a
small apartment building. This year Reba received $50,000 of rental
payments from tenants and she incurred $19,500 of expenses
associated with the rental.
Reba and her daughter Heather (20 years old at the end of the year)
moved to Georgia in January of this year. Reba provides more than
one-half of Heather’s support. They had been living in Colorado for
the past 15 years, but ever since her divorce, Reba has been
wanting to move back to Georgia to be closer to her family.
Luckily, last December, a teaching position opened up and Reba and
Heather decided to make the move. Reba paid a moving company $2,010
to move their personal belongings, and she and Heather spent two
days driving the 1,426 miles to Georgia.
Reba rented a home in Georgia. Heather decided to continue living
at home with her mom, but she started attending school full-time in
January and throughout the rest of the year at a nearby university.
She was awarded a $3,000 partial tuition scholarship this year, and
Reba helped out by paying the remaining $500 tuition cost. If
possible, Reba thought it would be best to claim the education
credit for these expenses.
Reba wasn't sure if she would have enough items to help her benefit
from itemizing on her tax return. However, she kept track of
several expenses this year that she thought might qualify if she
was able to itemize. Reba paid $5,800 in state income taxes and
$12,500 in charitable contributions during the year. She also paid
the following medical-related expenses for herself and Heather:
| Insurance premiums | $ | 7,952 |
| Medical care expenses | $ | 1,100 |
| Prescription medicine | $ | 350 |
| Nonprescription medicine | $ | 100 |
| New contact lenses for Heather | $ | 200 |
Shortly after the move, Reba got distracted while driving and
she ran into a street sign. The accident caused $900 in damage to
the car and gave her whiplash. Because the repairs were less than
her insurance deductible, she paid the entire cost of the repairs.
Reba wasn’t able to work for two months after the accident.
Fortunately, she received $2,000 from her disability insurance. Her
employer, the Central Georgia School District, paid 60 percent of
the premiums on the policy as a nontaxable fringe benefit and Reba
paid the remaining 40 percent portion.
A few years ago, Reba acquired several investments with her portion
of the divorce settlement. This year she reported the following
income from her investments: $2,200 of interest income from
corporate bonds and $1,500 interest income from City of Denver
municipal bonds. Overall, Reba’s stock portfolio appreciated by
$12,000, but she did not sell any of her stocks.
Heather reported $6,200 of interest income from corporate bonds she
received as gifts from her father over the last several years. This
was Heather’s only source of income for the year.
Reba had $10,000 of federal income taxes withheld by her employer.
Heather made $1,000 of estimated tax payments during the year. Reba
did not make any estimated payments. Reba had qualifying insurance
for purposes of the Affordable Care Act (ACA).
a. Determine Reba’s federal income taxes due or taxes payable for the current year. Use Tax Rate Schedule for reference. (Do not round intermediate values. Round your final answers to the nearest whole dollar amount. Leave no answer blank. Enter zero if applicable.)
2020 Tax Rate Schedules
Individuals
Schedule X-Single
| If taxable income is over: | But not over: | The tax is: |
|---|---|---|
| $ 0 | $ 9,875 | 10% of taxable income |
| $ 9,875 | $ 40,125 | $987.50 plus 12% of the excess over $9,875 |
| $ 40,125 | $ 85,525 | $4,617.50 plus 22% of the excess over $40,125 |
| $ 85,525 | $163,300 | $14,605.50 plus 24% of the excess over $85,525 |
| $163,300 | $207,350 | $33,271.50 plus 32% of the excess over $163,300 |
| $207,350 | $518,400 | $47,367.50 plus 35% of the excess over $207,350 |
| $518,400 | — | $156,235 plus 37% of the excess over $518,400 |
Schedule Y-1-Married Filing Jointly or Qualifying Widow(er)
| If taxable income is over: | But not over: | The tax is: |
|---|---|---|
| $ 0 | $ 19,750 | 10% of taxable income |
| $ 19,750 | $ 80,250 | $1,975 plus 12% of the excess over $19,750 |
| $ 80,250 | $171,050 | $9,235 plus 22% of the excess over $80,250 |
| $171,050 | $326,600 | $29,211 plus 24% of the excess over $171,050 |
| $326,600 | $414,700 | $66,543 plus 32% of the excess over $326,600 |
| $414,700 | $622,050 | $94,735 plus 35% of the excess over $414,700 |
| $622,050 | — | $167,307.50 plus 37% of the excess over $622,050 |
Schedule Z-Head of Household
| If taxable income is over: | But not over: | The tax is: |
|---|---|---|
| $ 0 | $ 14,100 | 10% of taxable income |
| $ 14,100 | $ 53,700 | $1,410 plus 12% of the excess over $14,100 |
| $ 53,700 | $ 85,500 | $6,162 plus 22% of the excess over $53,700 |
| $ 85,500 | $163,300 | $13,158 plus 24% of the excess over $85,500 |
| $163,300 | $207,350 | $31,830 plus 32% of the excess over $163,300 |
| $207,350 | $518,400 | $45,926 plus 35% of the excess over $207,350 |
| $518,400 | — | $154,793.50 plus 37% of the excess over $518,400 |
Schedule Y-2-Married Filing Separately
| If taxable income is over: | But not over: | The tax is: |
|---|---|---|
| $ 0 | $ 9,875 | 10% of taxable income |
| $ 9,875 | $ 40,125 | $987.50 plus 12% of the excess over $9,875 |
| $ 40,125 | $ 85,525 | $4,617.50 plus 22% of the excess over $40,125 |
| $ 85,525 | $163,300 | $14,605.50 plus 24% of the excess over $85,525 |
| $163,300 | $207,350 | $33,271.50 plus 32% of the excess over $163,300 |
| $207,350 | $311,025 | $47,367.50 plus 35% of the excess over $207,350 |
| $311,025 | — | $83,653.75 plus 37% of the excess over $311,025 |
In: Accounting
Bob is a recent law school graduate who intends to take the state bar exam. According to the National Conference on Bar Examiners, about 55% of all people who take the state bar exam pass. Let n = 1, 2, 3, ... represent the number of times a person takes the bar exam until the first pass.
(a) Write out a formula for the probability distribution of the
random variable n. (Use p and n in your
answer.)
P(n) =
(b) What is the probability that Bob first passes the bar exam on
the second try (n = 2)? (Use 3 decimal places.)
(c) What is the probability that Bob needs three attempts to pass
the bar exam? (Use 3 decimal places.)
(d) What is the probability that Bob needs more than three attempts
to pass the bar exam? (Use 3 decimal places.)
(e) What is the expected number of attempts at the state bar exam
Bob must make for his (first) pass? Hint: Use
μfor the geometric distribution and round.
In: Statistics and Probability
| A recent study revealed that only 30% of recent
high school graduates are engaged in career-based employment. The
jobless numbers have recently declined, yet for the wrong reasons.
In fact, most jobseekers apply at a few places, and then give up
when they do not land a position. The remedy for this problem may
be a different way at looking at the employment
picture. 44. This paragraph would most likely be the paper’s:: * |
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| 45. This paragraph could be improved by:: * | ||||
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| 46. The paragraph is:: * | ||||
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| 47. Which of the following should be avoided in formal essays?: * | ||||
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| 48. Writing a research proposal should be done in:: * | ||||
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| 49. When using the correlational conjunction “not only”, it must be followed by “____.": * | ||||
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| 50. The best source for locating soil and weather maps is:: * | ||||
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In: Economics
Twenty five high school students complete a preparation program for taking the SAT test. Here are the SAT scores from the 25 students who completed the SAT prep program: 434 694 457 534 720 400 484 478 610 641 425 636 454 514 563 370 499 640 501 625 612 471 598 509 531 The mean of these scores is 536.00. We know that the population average for SAT scores is 500 with a standard deviation of 100. The question is, are these students’ SAT scores significantly greater than a population mean of 500 with a population standard deviation of 100 ? Note that the the maker of the SAT prep program claims that it will increase (and not decrease) your SAT score. So, you would be justified in conducting a one-directional test. (alpha = .05).
Choose between
A - The prep program didn't result in significant improvement in SAT scores
B- The prep program resulted in significant improvement in SAT scores
In: Math