मराठी

Revision: Statistics and Probability JEE Main Statistics and Probability

Advertisements

Definitions [6]

Definition: Arithmetic Mean

The arithmetic mean (or, simply, mean) of a set of numbers is obtained by dividing the sum of the numbers in the set by the number of numbers.

\[\mathbf{Mean}=\frac{\left(x_1+x_2+x_3+\ldots+x_n\right)}{n}=\frac{\Sigma x_i}{n}\] 

Definition: Median

Median is the value of the middle-most observation(s). The median is a measure of central tendency which gives the value of the middle-most observation in the data.

Definition: Mode

The mode is the value of the observation that occurs most frequently; i.e., the observation with the maximum frequency is called the mode.

Definition: Probablity

Probability measures the degree of certainty of the occurrence of an event.

Definition: Sequence of Bernoulli Trials

A sequence of dichotomous experiments is called a sequence of Bernoulli trials if it satisfies the following conditions:

  • The trials are independent.
  • The probability of success remains the same in all trials.
Definition: Poisson Distribution

A discrete random variable X is said to have the Poisson distribution with parameter m > 0, if its p.m. is given by

\[P(X=x)=\frac{e^{-m}m^x}{x!}\]  = 0, 1, 2, ....

Formulae [4]

Formula: Mean of Grouped (Tabulated) Data

Direct Method:

\[\bar{x}=\frac{\sum f_ix_i}{\sum f_i}\]

where xi = class mark, fi = frequency

Short-cut (Assumed Mean) Method:

\[\bar{x} = A+\frac{\sum f_id_i}{\sum f_i}\]

where di = xi - A
A is the assumed mean

Step-deviation Method:

\[\bar{x}=a+h\frac{\sum f_iu_i}{\sum f_i}\]

where \[u_i=\frac{x_i-a}{h}\]

h is the class width / common factor

Formula: Odd Number of Observations

If the number of data points (n) is odd, the median is,

Median = `((n+1)/2)^(th)` term

Formula: Even Number of Observations

If n is even, the median is the average of the values at positions

Median = Average of  `(n/2)^(th)` and `(n/2+1)^(th)` values

Formula: Geometric Mean

G.M. between a and b

G2 = ab 

G =\[\sqrt{ab}\]

G is the geometric mean between a and b.

Key Points

Key Points: Concept of Probability
No. Term Definition
1 Probability A measure of the chance of occurrence of an event.
2 Random Experiment An experiment in which all possible outcomes are known, but the exact outcome cannot be predicted with certainty.
3 Outcome The result of a random experiment.
4 Sample Space (S) The set of all possible outcomes of a random experiment.
5 Sample Point Each element of the sample space.
6 Number of Sample Points The number of elements in the sample space is denoted by n(S).
7 Equally Likely Outcomes Outcomes which have the same chance of occurring.
Key Points : Standard Sample Space
No. Term Definition
1 Probability A measure of the chance of occurrence of an event.
2 Random Experiment An experiment in which all possible outcomes are known, but the exact outcome cannot be predicted with certainty.
3 Outcome The result of a random experiment.
4 Sample Space (S) The set of all possible outcomes of a random experiment.
5 Sample Point Each element of the sample space.
6 Number of Sample Points The number of elements in the sample space is denoted by n(S).
7 Equally Likely Outcomes Outcomes which have the same chance of occurring.

Playing Cards – Key Facts

  • Total cards = 52

  • Red cards = 26 (Hearts, Diamonds)

  • Black cards = 26 (Clubs, Spades)

  • Each suit has 13 cards

  • Face cards = King, Queen, Jack (Total = 12)

Key Points: Types of Events in Probability
Type of Event Meaning Probability
Sure (Certain) Event An event that is certain to occur P(E) = 1
Impossible Event An event that cannot occur P(E) = 0
Simple (Elementary) Event An event having only one outcome P(E) = 1 / n(S)
Complementary Event (E̅) An event that occurs when E does not occur P(not E) = 1 − P(E)
Mutually Exclusive Events Two events that cannot occur together P(A ∩ B) = 0
Exhaustive Events Events which together cover all outcomes of S P(A₁) + P(A₂) + … = 1
Equally Likely Events All outcomes have the same chance of occurring P(E) = n(E) / n(S)
General Rule Probability of any event 0 ≤ P(E) ≤ 1
Advertisements
Advertisements
Advertisements
Share
Notifications

Englishहिंदीमराठी


      Forgot password?
Use app×