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Derek Fairburn

University of Alabama
Teaching Assistant

Biography

I am a recent graduate from the University of Alabama, where I majored in Applied Mathematics, Quantitative Economics, and Studio Art, and minored in Chemistry, Biology, and the Liberal Arts. I know work in New York as a hedge fund analyst, and spend time creating tutoring videos to keep my STEM skills sharp.

Education

BS Mathematics, Economics, Studio Art
University of Alabama

Educator Statistics

Numerade tutor for 4 years
500 Students Helped

Topics Covered

Differential Equations Made Simple: Expert Tips & Resources

Derek's Textbook Answer Videos

1

Derek's Quick Ask Videos

09:32
Intro Stats / AP Statistics

In western Kansas, the summer density of hailstorms is estimated at about 2.3 storms per 5 square miles. In most cases, a hailstorm damages only a relatively small area in a square mile. A crop insurance company has insured a tract of 10 square miles of Kansas wheat land against hail damage.

Let r be a random variable that represents the number of hailstorms this summer in the 10-square-mile tract.

(a) Explain why a Poisson probability distribution is appropriate for r.

Hailstorms in western Kansas are a rare occurrence. It is reasonable to assume the events are independent.

(b) What is λ for the 10-square-mile tract of land? Round λ to the nearest tenth so that you can use Table 4 of Appendix II for Poisson probabilities.

(c) If there have already been two hailstorms this summer, what is the probability that there will be a total of four or more hailstorms in this tract of land? Compute P(r ≥ 4 | r ≥ 2). (Round your answer to four decimal places.)

(d) If there have already been three hailstorms this summer, what is the probability that there will be a total of fewer than six hailstorms? Compute P(r < 6 | r ≥ 3). (Round your answer to four decimal places.)

Derek Fairburn
06:35
Intro Stats / AP Statistics

The demand for a product varies from month to month. Based on data from past years, the following probability density function shows the probabilities of MNM company's monthly demand.

Probabilities of MNM company's monthly demand
Unit Demand P(X=x)
1200 0.19
2100 0.30
3300 0.40
3800 0.11

a) What is the probability that MNM will sell 3300 units next month?
b) Given the information above, how many units can they expect to sell in a month?
c) Calculate the standard deviation.
d) Each unit produced costs the company $8.00, and each unit is sold for $25.00. How much will the company gain or lose in a month if they stock the expected number of units demanded but sell 2100 units?

Derek Fairburn
04:58
Intro Stats / AP Statistics

An urn contains b black balls and w white balls. Sequentially remove a random ball from the urn until none is left. Which of the following observed color sequences would you think is more likely: first all white balls then all black balls or alternating white and black balls until one color is exhausted, then the other color until it is exhausted? For b=4 and w=2, calculate the probability of:
(i) (white, white, black, black, black, black)
(ii) (white, black, white, black, black, black)

Derek Fairburn
05:27
Intro Stats / AP Statistics

Sulfur compounds cause "off-odors" in wine, so winemakers want to know the odor threshold, the lowest concentration of a compound that the human nose can detect. The odor threshold for dimethyl sulfide (DMS) in trained wine tasters is about 25 micrograms per liter of wine (μg/l). The untrained noses of consumers may be less sensitive, however.

You want to estimate the mean DMS odor threshold among all students, and you would be satisfied to estimate the mean to within ±0.25 with 90% confidence.

The standard deviation of the odor threshold for untrained noses is known to be σ = 8 micrograms per liter of wine.

How large an SRS of untrained students do you need?

Derek Fairburn
04:57
Intro Stats / AP Statistics

So far we have introduced the addition rule for the special case
in which the events being considered are disjoint. The purpose of
this activity is to make you aware of the danger in wrongly using
the addition rule for disjoint events in cases where the events are
actually not disjoint. Consider the blood type example again.
Recall the blood type example:
Blood type
O
A
B
AB
Probability
0.44
0.42
0.10
0.04
with the following additional information:
A person with type A can donate blood to a
person with type A or AB.
A person with type B can donate blood to a
person with type B or AB.
A person with type AB can donate blood to a
person with type AB only.
A person with type O blood can donate to
anyone.
Suppose that there are two patients who are each in need of a
blood donation. Patient 1 has blood type A and patient 2 has blood
type B. Consider the following events:
D1; a randomly chosen person can be a donor for patient 1.
D2; a randomly chosen person can be a donor for patient 2.
We are interested in finding the probability that a randomly
chosen person can be a donor for patient 1 or patient 2. In other
words, we are interested in finding P(D1 or D2).
Find P(D1) and P(D2). Write your answers in the text box
below.
Are events D1 and D2 disjoint or overlapping?
Try to (wrongly) apply the addition rule for disjoint events to
P(D1 or D2), and explain why the answer you got proves that the
addition rule for disjoint events does not work in cases in which
the events are not disjoint.

Derek Fairburn
05:18
Intro Stats / AP Statistics

You wish to estimate the mean number of travel days per year for
salespeople. The mean of a small pilot study was 150 days, with a
standard deviation of 14 days. If you want to estimate the
population mean within 2 days, how many salespeople should you
sample? Use the 90% confidence level. (Use z Distribution Table.)
(Round up your answer to the next whole number.

Derek Fairburn
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