Statistics Ics Part 1 Chapter 7 Online Test With Answers

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Statistics Ics Part 1 Chapter 7 Online Test

Sr. # Questions Answers Choice
1 What is the probability that a value chosen at random from a particular population is larger than the median of the popultion. 0.25 0.5 1.0 0.67
2 Why are the outcomes of a coin tossing mutually exclusive. The outcome of any toss is not affected by teh outcome of those preceding it. Both a head and a tail cannot turn up on any one toss The probability of getting a head and the probability of getting a tail is the same. All of these
3 The simple probability of occurrence of an event in called the. Joint probability Conditional probability Marginal probability Subjective probability
4 If one event is unaffected by the outcome of another event, the two events are said to be Dependent Independent Mutually exclusive Both b and c
5 Var (B/aX) =? 1/aVar(X) b<sup>2</sup>/a<sup>2</sup> Var(X) b<sup>2</sup>/a Var(X) None of these
6 F (+∞) is always equal to: 0 Two One&nbsp; None of these
7 Hourly temperature recorded by weather brave is the example of: Discrete variable Continuous variable Qualitative Both A and B
8 For two independent random variables, Var(x) = 14 and Var(Y ) = 5, then var (X-y) is equal to. 9 70 19 None of these
9 E(Y2) -[E(y)]2 is the formula, and to compute. Variance of the random variable Mean of the random variable Both A and B None of these
10 If y =-7x then E(y) = ............... E(x) -7X -7E(X) Zero
11 The properties of discrete probability distribution are: Σp (x) = 1 and&nbsp;Σx. (x) = 1 ΣP (x)= 1 and&nbsp;Σx. P ΣP(x) = 1 and 0 &lt; P(x)&nbsp;≤ 1 All of these above
12 The Area of trapezoid is equal to: sum of paralled sides x base sum of paralled sides x base/2 2 x base x sum of paralled side&nbsp; Sum of paralled sides x base/4
13 Coefficient  of variation (C.V) is given below Mean /S.D x10 Mean/S.D x 100 S.D/Mean x 100&nbsp; S.D/ Mean&nbsp;
14 For discrete random variable 'X' the expectation of X I-e E(x) is equal to: Σp(x) Σxp(x) Σx<sup>2</sup>p(x) One
15 Var (KY) = ...................... KY K<sup>2</sup> Var(Y) K<sup>2</sup>Var (Y) None of these
16 E(X ± Y) =.............. E(X) + E(Y) E(X) - E (Y) E(x)&nbsp;± E (Y) None of these
17 A random variable is also called. Chance variable Stochastic variable Discrete variable Both A and B
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