Dawson College · 201-MA2-DW

Dawson 201-MA2-DW tutoring

Calculus II: Integral Calculus for Social Sciences: one-to-one online tutoring and exam preparation.

Listed course

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

Integration and applicationsDifferential equationsArithmetic and geometric sequencesContinuous probability

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.

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From a waiting-time density to a probability

Original practice. In a simplified model of a service desk, the continuous random variable TT is a person’s waiting time, measured in minutes. For a numerical time tt in minutes, the probability density is f(t)=2t/9f(t)=2t/9 per minute when 0≤t≤30\le t\le3, and f(t)=0f(t)=0 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 t2/9t^2/9 as an antiderivative of 2t/92t/9, 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
  1. Read the density and its units

    The density is nonnegative on [0,3][0,3], and it is zero elsewhere. Its graph over this interval is a rising straight line, from height 0 at t=0t=0 to height 2/32/3 per minute at t=3t=3.

    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.

  2. Check that the whole area is one

    The power rule gives the antiderivative t2/9t^2/9, because its derivative is 2t/92t/9. The fundamental theorem of calculus then gives

    ∫032t9 dt=[t29]03=1.\int_0^3 \frac{2t}{9}\,dt=\left[\frac{t^2}{9}\right]_0^3=1.

    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 2/32/3 per minute: 12(3)(2/3)=1\tfrac12(3)(2/3)=1.

  3. Translate the waiting-time interval into bounds

    Writing Pr⁡\Pr for probability, the event “between 1 and 2 minutes” gives

    Pr⁡(1≤T≤2)=∫122t9 dt.\Pr(1\le T\le2)=\int_1^2\frac{2t}{9}\,dt.

    Evaluate at both bounds: 22/9−12/9=4/9−1/9=1/32^2/9-1^2/9=4/9-1/9=1/3. The probability is one third, or about 33.3%. Subtracting the lower-bound value removes the probability accumulated before 1 minute.

  4. Check the answer using the graph

    The area under the density from 1 to 2 is a trapezoid of width 1 minute with heights f(1)=2/9f(1)=2/9 and f(2)=4/9f(2)=4/9 per minute. Its area is 12(2/9+4/9)(1)=1/3\tfrac12(2/9+4/9)(1)=1/3, confirming the integral.

    Multiplying only the right-end density by the width would give 4/94/9, an overestimate here because the density rises across the interval. The exact trapezoid calculation works because this density is linear.

  5. Separate a density value from a point probability

    At 2 minutes, the density is f(2)=4/9f(2)=4/9 per minute. The probability of exactly that time is Pr⁡(T=2)=0\Pr(T=2)=0: 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 Pr⁡(T>2)\Pr(T>2) in two ways: directly and by subtracting a probability from 1. (2) Find the median waiting time mm, defined here by Pr⁡(T≤m)=1/2\Pr(T\le m)=1/2, with 0≤m≤30\le m\le3. 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 mm equal to one half.

Check your reasoning
  1. Calculate the upper tail directly

    The model allows waits only up to 3 minutes. Thus Pr⁡(T>2)=∫23(2t/9) dt=1−4/9=5/9\Pr(T>2)=\int_2^3(2t/9)\,dt=1-4/9=5/9, about 55.6%. The result is dimensionless, as every probability must be.

  2. Check using the complement

    The probability of a wait of at most 2 minutes is Pr⁡(T≤2)=∫02(2t/9) dt=4/9\Pr(T\le2)=\int_0^2(2t/9)\,dt=4/9. The events T≤2T\le2 and T>2T>2 cover all possible waits without overlap, so Pr⁡(T>2)=1−4/9=5/9\Pr(T>2)=1-4/9=5/9.

  3. Work backward from half the probability

    For a possible median mm in [0,3][0,3], the accumulated probability is ∫0m(2t/9) dt=m2/9\int_0^m(2t/9)\,dt=m^2/9. Set m2/9=1/2m^2/9=1/2, giving m2=9/2m^2=9/2. Only the positive root lies in the waiting-time interval:

    m=32≈2.12 minutes.m=\frac{3}{\sqrt2}\approx2.12\text{ minutes}.

    Substitution gives m2/9=1/2m^2/9=1/2, 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.

  4. Explain why the midpoint is not the median

    At the interval midpoint, Pr⁡(T≤1.5)=(1.5)2/9=1/4\Pr(T\le1.5)=(1.5)^2/9=1/4. 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.

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.

  • Choose an integration method Practise substitution, integration by parts or partial fractions as needed. Return to the probability question and check the event, the bounds and whether the answer is a probability or a time.

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.

Practise separable equations · See why separation works

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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201-MA2-DW · official course reference