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False
P(A) = 0.7P(B) = 0.5The events A and B are mutually exclusive. TERM 2
True
DEFINITION 2 If the events A and B are independant, then: P (A- intersection-B)=0. TERM 3
True
DEFINITION 3 P(A) = 0.7P(B) = 0.5If the events A and B are independent, then P(A-union-B) = 0. TERM 4
False
DEFINITION 4 P(A) = 0.7P(B) = 0.5If the events A and B are independant, the P(A | B) = 0. TERM 5
False
DEFINITION 5 The third quartile of a data set is the point where 75% of the data values are larger
False
The value of the sample variance may be either a positive or a negative value. TERM 7
True
DEFINITION 7 A single card will be drawn from a standard deck of 52 cards. Let A be the event that the card is a face card, and let B be the event that the suit is a Spade. The events A and B are independent.. TERM 8
True
DEFINITION 8 For the same set of data values, the IQR cannot be larger than the range TERM 9
True
DEFINITION 9 A pair of dice is tossed and the sum of the points on the up- faces is observed. Let A be the event that the sum is odd and B be the event that the sum is a multiple of 4. The events A and B are mutually exclusive. TERM 10
False
DEFINITION 10 The binomial distribution is an example of a continuous distribution.
