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Binomial Probability Distribution
Binomial probability distribution is a set of probabilities for discrete events. Discrete events are those whose outcomes or results can be counted. Binomial probabilities are usually encountered in business situations for illustration, in quality control activities the binomial probabilities are frequently used especially when finding the probability of having a specific number of defective items in a given consignment.
- The binomial probability distribution is generally characterized by the fact that the binomial events have to fulfill the given properties
i. Each event has 2 possible outcomes only termed as success or failure
ii. The probability of each outcome is independent of the previous outcomes
iii. The sample size is usually fixed
iv. The probabilities of success and failure tend to approach 0.5 if the sample size raises (in the event while an unbiased coin is thrown a number of times)
Sam has 18 marbles. Dean has 3 marbles. Dean has ---- as many marbles as Sam?
NUMBER SYSTEMS: Numbers are intellectual witnesses that belong only to mankind. Example: If the H C F of 657 and 963 is expressible in the form of 657x + 963 x -
-nCr
Use L''hopital''s rule since lim X-->0 1-cos(x)/1-cos(4x) is in the indeterminate form 0/0 when we apply the limt so by l''hoptital''s rule differentiate the numerator and den
arrange these numbers in ascending order. -5 -7 1 2 15 0 - 25
what is o.44 as a simplified fraction
3/4=x/23.
/100*4500/12
Standard conventions in game theory Consider the given table: Y 3 -4 X -2 1
Example: Suppose your football team has 10 returning athletes and 4 new members. How many ways can the coach choose one old player and one new one? Solution: There are 10 wa
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