math biostatistics boot camp 1

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Week 1: Quiz with answersThis is week 1 quiz for online course available at coursera.org.

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  • Mathematical Biostatistics Boot Camp 1

    Quiz

    Week 1

    1. (1 point) What is P (A B) always equal to?a. 1 P (AC BC)b. 1 P (AC BC)c. 1 P (AC)P (BC)d. P (AC BC)

    1.

    a.

    Solution:

    P (A B) = 1 P ((A B)C) = 1 P (AC BC)2. (1 point) Which of the following are always true about P (

    ni=1Ei)? (Check all that apply.)It is smaller than or equal to

    ni=1 P (Ei).

    It is equal to ni=1 P (Ei). It is smaller than maxi P (Ei).It is larger than or equal to mini P (Ei).It is larger than or equal to maxi P (Ei).

    It is smaller than mini P (Ei).3. (1 point) Consider inuenza epidemics for two parent heterosexual families. Suppose that the probability is

    17% that at least one of the parents has contracted the disease. The probability that the father has contracted

    inuenza is 12% while the probability that both the mother and father have contracted the disease is 6%. What

    is the probability that the mother has contracted inuenza?

    a. 12%

    b. 6%

    c. 5%

    d. 25%

    e. 11%

    f. 17%

    3.

    e.

    Solution:

    Let's have following events:

    A : father has the u, and B : mother has the u

    We know the following:

    P (A B) = 0.17, P (A) = 0.12, and P (A B) = 0.06.From the following formula:

    P (A B) = P (A) + P (B) P (A B)we can derive:

    P (B) = P (A B) + P (A B) P (A) = 0.17 + 0.06 0.12 = 0.11

    Page 1 of 6

  • 4. (1 point) A random variable, X is uniform, so that it's density is f(x) = 1 for 0 x 1. What is it's 75thpercentile? Express your answer to two decimal places.

    a. 0.25

    b. 0.50

    c. 0.75

    d. 0.10

    e. 0.90

    4.

    c.

    Solution:

    The cumulative distribution function for f(x) is:

    F (x) =

    x0

    f(t) dt =

    x0

    1 dt = [t]x0 = x 0 = xWe want to nd value of x75 such that F (x75) = 0.75. We know that F (x75) = x75, so x75 = 0.75.

    5. (1 point) A Pareto density is

    1x2 for 1 < x

  • 6. (1 point) What is the quantile p from the density ex (1 + ex)2?

    a. log ((1 p) /p)b. p/ (1 p)c. (1 p) /pd. 1/ (1 + ex)

    e. log (p/ (1 p))

    6.

    e.

    Solution:

    First, we need to nd cumulative distribution function:

    F (x) =

    x

    et

    (1 + et)2dt,

    using substitution u(t) = 1 + et and du = et dt we get:

    F (x) =

    u(x)u()

    1u2

    du =

    1+ex

    1u2

    du =

    [1

    u

    ]1+ex

    =1

    1 + ex=

    exex

    ex (ex + 1)=

    ex

    ex + 1

    Now we want to nd a value of xp such that F (xp) = p.

    F (xp) = p

    exp

    exp + 1= p

    exp = p (exp + 1)

    exp = pexp + p

    exp pexp = pexp (1 p) = p

    exp =p

    1 pxp = log

    (p

    1 p)

    Page 3 of 6

  • 7. (1 point) Suppose that a density is of the form cxk for some constant c > 1 and 0 < x < 1. What is the valueof c?

    a. k + 2

    b.

    1k

    c. 2

    d.

    1k+1

    e. k 1f. k

    g. k + 1

    7.

    g.

    Solution: 10

    cxkdx = c

    [xk+1

    k + 1

    ]10

    =c

    k + 1

    [xk+1

    ]10=

    c

    k + 1(1 0) = c

    k + 1must be equal to 1, so:

    c

    k + 1= 1 c = k + 1.

    8. (1 point) Suppose that the time in days until hospital discharge for a certain patient population follows a

    density f(x) = 12ex/2for x > 0. What is the median discharge time in days?

    a. 1.0

    b. 1.4

    c. 1.8

    d. 2.2

    e. 2.6

    8.

    b.

    Solution:

    First, we need to nd cumulative distribution function F (x):

    F (x) =

    x0

    1

    2et/2 dt =

    [et/2

    ]x0=[et/2

    ]0x= e0 ex/2 = 1 ex/2

    Now we need to nd the value of x50 such that F (x50) = 0.5:

    F (x50) = 0.5

    1 ex50/2 = 0.5ex50/2 = 0.5

    x50/2 = log(1

    2

    )x50/2 = log

    (1

    2

    )x50/2 = log (2)

    x50 = 2 log (2) 1.386

    R code:

    qexp ( 0 . 5 , 1/2)

    Page 4 of 6

  • 9. (1 point) Consider the density given by 2xex2

    for x > 0. What is the median?

    a. 1.03

    b. 0.83

    c. 0.79

    d. 0.24

    e. 0.15

    9.

    b.

    Solution:

    First, we need to nd cumulative distribution function F (x):

    F (x) =

    x0

    2tet2

    dt,

    using substitution u(t) = t2 and du = 2tdt we get:

    F (x) = u(x)u(0)

    eu du = x20

    eu du = [eu]0x2 = e

    0 ex2 = 1 ex2

    Median is the value of x50 such that F (x50) = 0.5.

    F (x50) = 0.5

    1 ex250 = 0.5ex

    250 = 0.5

    x250 = log(1

    2

    )x250 = log (2)

    x50 =log (2) 0.833

    Page 5 of 6

  • 10. (1 point) Suppose h(x) is such that 0 < h(x)