Ludium
EN/日本語
Sign In
Single Variable Calculus
Differentiation
01The Derivative as the Slope of the Tangent Line02Secant Lines and the Limit Definition of the Derivative03Differentiating 1/x Straight From the Definition04Tangents to 1/x and the Triangle of Area 205Newton and Leibniz Notation, and the Power RuleProblem setProblem set 2MIT problem set
01The Derivative as an Instantaneous Rate of Change02Rates of Change Without Time: Gradient and Sensitivity03Easy Limits, 0/0, and One-Sided Limits04Continuity, Jumps, and Removable Discontinuities05Infinite Discontinuities: 1/x and Its Derivative06Differentiable Implies ContinuousProblem setProblem set 2
01Two Kinds of Formula, and the Derivative of Sine02The Derivative of Cosine, and Two Limits at Zero03Bow and Bowstring: Proving the Two Trig Limits04Why the Trig Derivatives Hold Only in Radians05A Geometric Proof: Sine as a Height on the Circle06Finishing the Proof, and the Product and Quotient RulesProblem setProblem set 2MIT problem set
01Proving the Product Rule: Change One Factor at a Time02The Quotient Rule, and the Power Rule for Negative Exponents03The Chain Rule: Differentiating a Function of a Function04Higher Derivatives: The Sine Cycle and Three Notations05The nth Derivative of xⁿ Is n Factorial, by InductionProblem setProblem set 2MIT problem set
01The Power Rule for Rational Exponents02The Slope of a Circle, Two Ways03Implicit Differentiation of a Quartic Curve04Inverse Functions and the Reflection Across y = x05Derivatives of the Arctangent and ArcsineProblem setProblem set 2MIT problem set
01The Derivative of aˣ and the Mystery Number M(a)02Defining e by Slope One, and the Derivative of ln x03M(a) = ln a: Differentiating aˣ and xˣ04Why (1 + 1/n)ⁿ Approaches eProblem setProblem set 2MIT problem set
Applications of Differentiation
01Linear Approximation: A Curve Is Its Tangent Line02Five Linear Approximations at Zero03Combining Approximations, from Algebra to GPS Clocks04Quadratic Approximation: The Best-Fit ParabolaProblem setProblem set 2MIT problem set
01Linear Approximation as a Proportionality Rule02Quadratic Approximation: Why the ½, and Products03Curve Sketching: The Sign of f′ and Critical Points04Curve Sketching: Ends, Concavity and InflectionProblem setProblem set 2MIT problem set
01Sketching Without Critical Points: (x+1)/(x+2)02A Five-Step Curve-Sketching Scheme, Applied to x / ln x03x / ln x: Inflection Point and Where Max and Min Can OccurProblem setProblem set 2
01Two Squares From One Wire: The Critical Point Gives the Least Area02The Open Box of Fixed Volume: Least Material When x = 2y03Related Rates: The Police Radar and the Conical TankProblem setProblem set 2MIT problem set
01The Hanging Ring: Why the String Makes Equal Angles02Newton's Method: Tangent Lines That Find the Square Root of Five03Why Newton's Method Doubles Its Digits, and How It Fails04The Mean Value Theorem: Somewhere You Hit Your Average Speed05Positive Derivative Means Increasing: Proving eˣ Exceeds 1 + xProblem setProblem set 2MIT problem set
Integration
01Differentials: dy = f′(x) dx and the Cube Root of 64.102Antiderivatives Differ Only by a Constant03Integration by Substitution and Advanced GuessingProblem setProblem set 2MIT problem set
01Separation of Variables: dy/dx = −xy and the Bell Curve02General Solutions: Signs, Constants and Initial Conditions03Orthogonal Trajectories: Parabolas and Crossing EllipsesProblem setProblem set 2MIT problem set
01The Definite Integral: Area as a Limit of Rectangle Sums02Area Under y = x²: Squeezing the Sum of Squares03Sigma Notation and the Area Pattern: b, b²/2, b³/304Riemann Sums: the Definite Integral and a Year of LoansProblem setProblem set 2MIT problem set
01The Fundamental Theorem of Calculus: Area in One Line02Net Change and Signed Area: Integrating Velocity03Six Rules for Definite Integrals and Bounds on eᵇ04Substitution in Definite Integrals: Change the LimitsProblem setProblem set 2MIT problem set
01Average Rate Times Time: FTC Beats the Mean Value Theorem02Second Fundamental Theorem: Differentiate an Integral03Proving FTC1 and FTC2 with the Mean Value TheoremProblem setProblem set 2MIT problem set
Applications of Integration
01The Natural Log Defined as an Area Under 1/t02Functions With No Formula: erf, Fresnel and Li(x)03Setting Up the Area Between Two Curves04Vertical vs Horizontal Slices: One Region, Two IntegralsProblem setProblem set 2
01The Disk Method: Volume of a Ball and a Spherical Cap02The Shell Method: Volume of a Parabolic Cauldron03Units Matter: Why y = x² Is Not Scale-InvariantProblem setProblem set 2MIT problem set
01Average Value: Two Heights of a Semicircle02Weighted Averages: The Cauldron's Average Temperature03Probability as a Weighted Average: Part over WholeProblem setProblem set 2MIT problem set
01Probability as a Shell Volume: Hitting a Ring on a Dart Board02One Percent Risk: Calibrating the Dart Model from One Fact03The Trapezoidal Rule: The Average of Left and Right Riemann Sums04Simpson's Rule: Parabolas and the Weights 1, 4, 1Problem setProblem set 2MIT problem set

One Percent Risk: Calibrating the Dart Model from One Fact

How can one fact, that the thrower hits the target half the time, pin down a bystander's risk at about 1% without ever finding the radius?


Loading…

Questions

Work each one out before you check it. Every question has a scratch pad and a calculator.

  1. Question 1

    In the dart model, the probability that a dart lands in the ring r1<r<r2r_1 < r < r_2r1​<r<r2​ is e−r12−e−r22e^{-r_1^2} - e^{-r_2^2}e−r12​−e−r22​. For one thrower, a dart is 444 times as likely to land inside the target r<ar < ar<a as outside it. Find the value of e−a2e^{-a^2}e−a2.

    e−a2=e^{-a^2} =e−a2=
  2. Question 2

    In the same model (P(r1<r<r2)=e−r12−e−r22P(r_1 < r < r_2) = e^{-r_1^2} - e^{-r_2^2}P(r1​<r<r2​)=e−r12​−e−r22​), a thrower hits the target of radius aaa half the time. Find the probability that a dart lands in the ring a<r<3aa < r < 3aa<r<3a, as a fraction.

    P=P =P=
  3. Question 3

    In the same model, a thrower has e−a2=13e^{-a^2} = \tfrac13e−a2=31​ for a target of radius aaa. A spectator occupies the part of the ring 2a<r<3a2a < r < 3a2a<r<3a between 8 o'clock and 11 o'clock. Assuming the darts are spread evenly in angle, find the probability that one dart hits the spectator, as a percentage to two decimal places.

    P=P =P=%
  4. Question 4

    In the dart model with c e−r2c\,e^{-r^2}ce−r2 hits per unit area, find how many times more likely a dart is to land in the band 1<r<1.11 < r < 1.11<r<1.1 than in the small disc r<0.1r < 0.1r<0.1 around the centre. Give the ratio to two decimal places.

    ratio ===
  5. Question 5

    A thrower is modelled by c e−r2/18c\,e^{-r^2/18}ce−r2/18 hits per unit area. Find the radius r>0r > 0r>0 at which the hits per unit of rrr, the shell weight w(r)w(r)w(r), is largest.

    r=r =r=
←Previous Probability as a Shell Volume: Hitting a Ring on a Dart BoardNext The Trapezoidal Rule: The Average of Left and Right Riemann Sums →