Chapter 6 Statistics Class 11 Notes

Important Notes of complete Chapter 6 Statistics Class 11 Notes written by Professor Mr. Faraz Qasir Suib. These notes are very helpful in the preparation of Chapter 6 Probability Class 11 Notes PDF for the students of the intermediate and these are according to the paper patterns of all Punjab boards.

Summary and Contents:
Topics which are discussed in the notes are given below:
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  • What is meant by equally likely events?
  • What is meant by exhaustive events?
  • What is meant by permutation?
  • Give classical definition of probability.
  • Subset: If every element of a set A is also an element of a set B, A is said to be a subset of B.
  • Null Set: A set that contains no element is called null set or empty set. It is denoted by { } or Ф. 
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  • Define sample space. 
  • What is sample point? 
  • Define composite event.
  • What are independent events? 
  • What is meant by dependent events?  
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  • Define simple event.
  • What do you mean by not-mutually exclusive events? 
  • Explain mutually exclusive events.
  • What is the probability of getting both sixes when two fair dice are thrown simultaneously?
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  • A fair die is rolled, what is the probability of getting an odd number?
  • What is a Venn diagram?
  • For two mutually exclusive events A and B if P(A) = 0.25 and P(B) = 0.40, then find P(AUB).
  • What will be the sample space if two coins are tossed?
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  • A card is selected from 52 playing cards. What is probability that the card is king?
  • If P(A) = 0.5 and P(B) = 0.2, find P(AUB) when ‘A’ and ‘B’ are mutually exclusive events. 
  • What is the range of probability?
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  • Define the term combination.  Introduction to Probability: If you bought seven tickets for a raffle out of 700 tickets sold altogether. Each of 700 tickets is as likely as any other to be drawn for first prize. you would say that you had 7 chances out of 700, or a single chance out of 100 for winning the first price.
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  • Probability gives us a measure for the likelihood that some thing will happen. However, probability cannot predict the number of times that an occurrance actually happens. Most of the decisions that affect our daily lives are based upon likely hood and not on absolute certainty.
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  • In this chapter, we shall develop methods to deal with problems concerned with chance events. Some definitions, terminologies and notations are explained below to enable the student to certain categories of situation precisely and move briefly.
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  • Sets: A set is a well defined collection of distinct objects. The objects making up a set are called its elements. A set is usually denoted by a capital letter i.e., A, B, C etc. while its elements are denoted by small letters i.e., a, b, c etc. For example, the set A that consists of first five positive integers can be described as:  A={1,2,3,4,5}
  • Here, for 3 belongs to set A, we write 3 E A; and read it as 3 belongs to A, while for 6 does not belong to set A, we write 64 A and read it as 6 does not belong to A.

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