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Cambridge AS Level Mathematics 9709 (Probability & Statistics 1) Past Paper Items on Discrete Random Variables | Revision Exercise in Probability & Statistics 1 (9709)

probability, discrete random variables, revisions, past paper items, CIE, ciemathsolutions, AS level mathematics, Probability and Statistics 1, random variable, permutation and combination, probability concepts, probability distribution table, notations, mean, expectation, variance, sum of probabilities, exhaustuve events

Syllabus Area: Probability and Statistics 1 / Discrete Random Variables
Formulae/Concepts Needed
         > discrete versus continuous random variables
        notations on discrete random variables
         > probability distribution table
         > permutation and combination
         > probability concepts
 
Here is the copy of the practice exercises on Discrete Random Variables. The file contains ten (10) items. It contain items with varying difficulty:
probability, discrete random variables, revisions, past paper items, CIE, ciemathsolutions, AS level mathematics, Probability and Statistics 1, random variable, permutation and combination, probability concepts, probability distribution table, notations, mean, expectation, variance, sum of probabilities, exhaustuve events

probability, discrete random variables, revisions, past paper items, CIE, ciemathsolutions, AS level mathematics, Probability and Statistics 1, random variable, permutation and combination, probability concepts, probability distribution table, notations, mean, expectation, variance, sum of probabilities, exhaustuve events

probability, discrete random variables, revisions, past paper items, CIE, ciemathsolutions, AS level mathematics, Probability and Statistics 1, random variable, permutation and combination, probability concepts, probability distribution table, notations, mean, expectation, variance, sum of probabilities, exhaustuve events

You may download the complete copy of the past paper items here (click the image below):
probability, discrete random variables, revisions, past paper items, CIE, ciemathsolutions, AS level mathematics, Probability and Statistics 1, random variable, permutation and combination, probability concepts, probability distribution table, notations, mean, expectation, variance, sum of probabilities, exhaustuve events

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You may also want to try the previous set of past papers on Past Paper Items on Probability [Part 1] here (click on the image below):
revisions, AS and A level maths, 9709, Cambridge maths, statistics 1, probability and statistics, probability, tree diagrams, independent events, dependent events, possibility diagram, sample space, events, experiment, multiplication rule in probability, conditional probability, bayes theorem, probability calculations

Past Paper Items on Probability [Part 2] here (click on the image below):
revisions, AS and A level maths, 9709, Cambridge maths, statistics 1, probability and statistics, probability, tree diagrams, independent events, dependent events, possibility diagram, sample space, events, experiment, multiplication rule in probability, conditional probability, bayes theorem, probability calculations

Other collection of Cambridge AS/A Level Maths (9709) past papers you might be interested:
mean, median, mode, standard deviation, variance, quartiles, interquartile range, central location, measures of spread, measures of variability, variation, coded formula, formulas, statistics, 9709, probability and statistics 1, maths, Cambridge maths, cie, past paper items, Statistics 1 exam preparation
mean, median, mode, standard deviation, variance, quartiles, interquartile range, central location, measures of spread, measures of variability, variation, coded formula, formulas, statistics, 9709, probability and statistics 1, maths, Cambridge maths, cie, past paper items, Statistics 1 exam preparation

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1 comment:

  1. ANSWER KEY:
    1)(i)(7C1x3C1)/10C2 = 7/15
    (ii) 0 1 2
    7/15 7/15 1/15
    (iii) E(X) = 3/5

    2)(i)P(X=0) = 7C4/10C4 = 1/6
    P(X=1) = (7C3x3C1)/10C4 = 1/2
    (ii) 0 1 2 3
    5/30 15/30 9/30 1/30
    (iii) E(X) = 6/5 or 1.2
    Var(X)= 14/25 0r 0.56

    3)(i) a + b = 0.45
    (ii) a = 0.15 and b = 0.3

    4)(i) c = 1/18
    (ii) E(X) = 25/4 0r 2.78
    Var(X)=95/81 or 1.17
    (iii) P(X>2.78)= 11/18 or 0.611

    5)(i) P(odd) = 2/5
    (ii) P(4) = 3/10 or 0.3
    (iii) 3 4 5
    0.1 0.3 0.6
    (iv) E(X) = 4.5
    Var(X) = 0.45

    6)(i) p = 1/6
    (ii) E(X) = 4/3
    Var(X) = 68/9 or 7.56

    7) p = 0.1

    8) 37.5

    9)(ii) 120 60 40 30 24 20 120/7 15 40/3
    1/45 2/45 3/45 4/45 5/45 6/45 7/48 8/45 9/45
    (iii) 40/3 or 13.3
    (iv) 4/9 or 0.444

    10)(i) p + q = 0.42
    -p + 2q = 0.39
    p = 0.15 and q = 0.27
    (ii) Var(X) = 2.59

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