Dawson 201-MA2-DW tutoring
Calculus II: Integral Calculus for Social Sciences: one-to-one online tutoring and exam preparation.
Course overview
Dawson’s 201-MA2-DW connects integration with Social Science applications, including continuous probability. Use the waiting-time example below to choose integration bounds, interpret the area under a density and find a median by working backward from a probability.
201-MA2-DW topics to review
Common difficulties
- Turning the event described in words into the correct integration bounds
- Distinguishing density, accumulated probability and a time such as the median
Preparing for this course
Use this practice to turn a waiting-time question into a definite integral and explain the resulting probability. Review fractions, the power rule for antiderivatives and evaluating a formula at two bounds. Start with the worked density check, then calculate an interval probability. In the self-check, first find a tail probability, then work backward from a probability to a waiting time. Verify an antiderivative by differentiating it before you use it.
Registration requirements
Dawson’s course list states that 201-MA2-DW cannot replace 201-203-DW or 201-NYB-05. Confirm the registration requirements for your program with Dawson.
Check the official course catalogueFrom a waiting-time density to a probability
Original practice. In a simplified model of a service desk, the continuous random variable is a person’s waiting time, measured in minutes. For a numerical time in minutes, the probability density is per minute when , and outside that interval. Check that this is a valid probability density. Then find the probability that the wait is between 1 and 2 minutes, and the probability that it is exactly 2 minutes. Explain why a density value alone does not give the probability of an exact waiting time.
Show a hint
A density must be nonnegative and have total area 1. Use as an antiderivative of , and check it by differentiation. For an interval, evaluate the antiderivative at the upper bound and subtract its value at the lower bound. An exact time has an interval of zero width.
Show the reasoning
Read the density and its units
The density is nonnegative on , and it is zero elsewhere. Its graph over this interval is a rising straight line, from height 0 at to height per minute at .
For a short interval, density multiplied by interval width approximates probability. The units cancel: per minute multiplied by minutes gives a number without units. A definite integral adds these contributions across the interval.
Check that the whole area is one
The power rule gives the antiderivative , because its derivative is . The fundamental theorem of calculus then gives
The bracket means “value at the upper bound minus value at the lower bound.” Nonnegative density and total area 1 together make this a valid continuous probability model. Geometrically, the same area is a triangle with base 3 minutes and height per minute: .
Translate the waiting-time interval into bounds
Writing for probability, the event “between 1 and 2 minutes” gives
Evaluate at both bounds: . The probability is one third, or about 33.3%. Subtracting the lower-bound value removes the probability accumulated before 1 minute.
Check the answer using the graph
The area under the density from 1 to 2 is a trapezoid of width 1 minute with heights and per minute. Its area is , confirming the integral.
Multiplying only the right-end density by the width would give , an overestimate here because the density rises across the interval. The exact trapezoid calculation works because this density is linear.
Separate a density value from a point probability
At 2 minutes, the density is per minute. The probability of exactly that time is : integrating from 2 to 2 gives zero area.
For this continuous model, including or excluding either interval endpoint does not change its probability. A recorded time rounded to “2 minutes” would describe a range of actual times; calculating that probability would require the rounding interval.
Your turn: a longer wait and the median
Use the same density. (1) Find in two ways: directly and by subtracting a probability from 1. (2) Find the median waiting time , defined here by , with . Give an exact answer and an approximation in minutes. (3) Before opening the answer, decide whether the midpoint 1.5 minutes could be the median. For the median, set the integral from 0 to equal to one half.
Check your reasoning
Calculate the upper tail directly
The model allows waits only up to 3 minutes. Thus , about 55.6%. The result is dimensionless, as every probability must be.
Check using the complement
The probability of a wait of at most 2 minutes is . The events and cover all possible waits without overlap, so .
Work backward from half the probability
For a possible median in , the accumulated probability is . Set , giving . Only the positive root lies in the waiting-time interval:
Substitution gives , so half of the probability lies at or below this time. The accumulated probability increases strictly as the time moves from 0 to 3, so this median is unique.
Explain why the midpoint is not the median
At the interval midpoint, . Only one quarter of the probability has accumulated, so 1.5 minutes cannot be the median. Because density is larger toward the right, equal-length time intervals need not have equal probabilities. The median splits probability into two equal halves; it need not split the time interval into equal lengths.
Working on a differential equation?
If your current chapter covers separable equations, check for constant solutions before dividing. Try the five core questions to separate the variables, apply an initial value and choose a valid solution interval. Each question includes a hint, an explained answer and a changed retry. Use the deeper lesson for a worked growth model; logistic growth is an optional extension. Bring your separation step and interval to a tutor.
How tutoring can help
Bring an integration question, even if you have not set up the integral. Your tutor can help you translate “between,” “at most” and “more than” into bounds, then sketch and label the area before working through the antiderivative and endpoint calculation. If you have started a solution, you can review those steps together. For a median question, practise explaining why the unknown belongs in the upper bound, then solve a new probability-to-time question independently.
Exam preparation for 201-MA2-DW
Practise in three passes: choose the event and bounds without integrating, calculate and verify the antiderivative, then interpret the answer with its units. Mix interval, tail and median questions so you must decide whether the unknown is a probability or a time. For the other chapters you are reviewing, add integration, differential-equation or sequence questions and explain the method before starting the algebra.
Use your section’s outline to choose the chapters to review. We work through permitted practice and comparable problems, without completing graded assignments or exams on your behalf.
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Review the integration step
For the density above, the power rule is enough. If another integral in your current chapter needs a different method, compare the structure before starting the calculation.