Statistics Ics Part 1 Chapter 6 Online Test With Answers

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Statistics Ics Part 1 Chapter 6 Online Test

Sr. # Questions Answers Choice
1 The provability can never be, 0 1 1/52 Negative
2 The conditional probability P(A/B) is given by. (A∩B)/(B) P(A∩B)/P(A) P(A∩B)/P(B) (A∩B)/P(B)
3 P(A or B) = P (A∪B) = P(A) +P(B) then A and B are. Mutually exclusive Independent events  Not mutually exclusive Dependent
4 When each outcome of a sample is as equally likely to occur as any other, the out come are called. Mutually exclusive Equally likely Exhaustive Not mutually
5 The probability of drawing a "white" ball from a bag containing 4 red, 8 black and 3 with balls is: 0 3/15 1/15 2/15
6 The probability of a 'Jack' Card form 52 playing card is: 1/52 4/52 13/52 26/52
7 If a player well shuffles the pack of 52 playing card, then the probability of a black card form 52 playing cards is: 1/52 13/52 26/52 4/52
8 The probability of vowel letters form the words STATISTIC is. 2/10 3/10 0 4/10
9 A coin is tossed 3 times then,  then number of sample points in the sample space is: 2<sup>3</sup> 3 8 Both A &amp; C
10 The probability of sure event is: 0 0.5 1 Negative
11 If E a and impossible event, then P(E) is. 0 0.5 1 Impossible
12 A fair aid is rolled, the sample space consists of: 2 outcomes 6 outcomes 36 outcomes None of these
13 When sample space S is partitioned into some mutually exclusive events such that their union is sample space itself. Then the events are called Simple events Compound events Equally likely events Exhaustive events
14 Probability of an event cannot be Negative Positive Zero One
15 A set containing only one element is called Null set Universal set Subset Singleton set
16 If an event consist of more than one sample point it is called Simple event Compound event Exhaustive event Likely event
17 If two events cannot occur together they are said to be Independent events Dependent events Mutually exclusive events Equally likely events
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