Probability is the measure of the likelihood that an event will occur. Probability is quantified as a number between 0 and 1 (where 0 indicates impossibility and 1 indicate certainty). For example,
1. Probability of raining or not raining on a certain day
2. Probability of a student's passing or not an examination
3. The probability of winning or losing a game etc.
Some of the defined terms used in probability are:
Experiment
Observing the outcomes in probability are experiments. For example, tossing a coin to observe whether head or tail turns up is an experiment.
Random Experiment
If the result of an experiment is not certain, then it is called the random experiment.
Outcome
The result obtained in an experiment is called an outcome.
Sample Space
The set of all possible outcomes of an experiment is called sample space.
Event
Any subset of sample space is called an event.
Sample point
Each result or event of a sample space is called sample point. In tossing a coin, H and T are sample points.
Elementary Point
If the numbers of an event are only one then the event is called elementary point
Equally likely outcomes
If there is an equal chance of getting any outcome of an experiment they are equally likely outcomes.
Favourable outcomes
The outcomes of an experiment whose occurrence show the happening of an event is known as favourable events.
For example in tossing a coin ,
P(H) = \(\frac{n(H)}{n(S)}\) = \(\frac{1}{2}\)
P ({H,T}) = \(\frac{n (HT) }{n(S)}\) = \(\frac{2}{2}\) = 1
General Information of cards, coins and dice on probability:
In one packet of the card, there are two colors red and black. Every color has 26 numbers of cards. Red cards are heart and diamond and black cards are spade and club.
In each type of card, there are 1, 2, .......10, J, Q, K which are altogether 13 in number.
Face card: jack (J), queen (Q), and king (K).
In some packets of cards, we find more than 52 cards, which are not necessary for the study of probability.
Drawing a card from the well-shuffled pack of 52 cards, the probability of getting every number is \(\frac{1}{52}\).
There are two possible outcomes while tossing a coin. They are head and tail. When the coin is tossed just once, the probability of getting head or tail is equal.
In a dice, there are altogether 6 faces and when the dice is thrown only once, the probability of occurring a number is 1 to 6 equal.
Total no. of cards= 52
No. of possible outcomes = 52
No. of ace in a pack of card is 4
No. of favourable outcomes of ace = 4
No. of clubs in a pack of card is 1
No. of favourable outcomes of an ace of clubs = 1
P (ace) = \(\frac{No. of favourable outcomes}{No. of possible outcomes}\) = \(\frac{4}{52}\) = \(\frac{1}{13}\)
P (ace of clubs) = \(\frac{No. of favourbale outcomes}{No. of possible outcomes}\) = \(\frac{1}{52}\)
Total no. of marbles = 3 blue + 5 black = 8
No. of possible outcomes = 8
NO, of blue marbles is 3
No. of favourable outcomes of blue marbles= 3
Hence , the probability of getting blue marble ,
P (blue) = \(\frac{No. of favourable outcomes}{No. of possible outcomes}\) = \(\frac{3}{8}\)
Total no. of pages = 260
No. of possible outcomes= m = 260
No. of pages having picture = 13
No. of favourable outcomes = n = 13
No. of pages having no picture = 260 - 13 = 247
(i). Probability of getting page having picture
P (having picture) = \(\frac{m}{n}\) = \(\frac{13}{260}\) = \(\frac{1}{20}\)
(ii) P (having no picture) = \(\frac{m}{n}\) = \(\frac{247}{260}\) = \(\frac{19}{20}\)Ans.
Total no. of students = 900
No. of possible outcomes = n = 900
No. of girls = 350
No. of boys = (900 - 350) = 550
(i). No. of favourable outcomes = m = 350
Probability that the selected student is a girl ,
P (a girl) = \(\frac{m}{n}\) = \(\frac{350}{900}\) = \(\frac{7}{18}\)
(ii). Here , no of favourable outcomes of boys = n = 550
Probability that the selected student is not a girl
P (not girl) = \(\frac{m}{n}\) =\(\frac{550}{900}\) = \(\frac{11}{18}\)
Probability of turning up any face = 1
No. of favourable outcomes = 1
Total numbers of faces = 6
No. of possible outcomes = 6
P(turn up any face) = \(\frac{no. of favourable outcomes}{no. of favourable outcomes}\) = \(\frac{1}{6}\)
The faces having even numbers = 2 , 4 , 6
No. of favourable outcomes = 3
Total no. of faces = 6
No. of possible outcomes = 6
P (face having on even no.) = \(\frac{no of favourable outcomes}{no of favourable outcomes}\) = \(\frac{3}{6}\) = \(\frac{1}{2}\)
Total no. of faces = 6
No. of possible outcomes = 6
No. of faces that will turn up till = 4
No, of favourable outcomes =4
No. of face that will turn up more 4 = 2
NO. Of favourable outcomes= 2
Now , probability of the faces that will turn up to 4
P (a face that will turn upto4) = \(\frac{No of favourable outcomes}{no. of possible outcomes}\)
= \(\frac{4}{6}\) = \(\frac{2}{3}\)
Again , probabilty of the faces that will turnup (>4)
P(a face that will turn up (<4) = \(\frac{no of favourable outcomes}{no of favourable outcomes}\) = \(\frac{2}{6}\) = \(\frac{1}{3}\)
Here , total no. of born babies = 1000
Total no. of experiments =1000
Number of boys = 514
Total no. of outcomes = 514
Here , probability of newly born baby is a boy ,
P(a boy) = \(\frac{total no of outcomes}{total no. of experiments}\) = \(\frac{514}{500}\) = \(\frac{257}{500}\)
Total no. of students = 1000
No. of possible outcomes = 1000
Probability of students whose ages are baove 20 years ,
i.e. P(a student of above 20yrs) = 0.25
No. of favaouable outcomes of student ages are above 20 years.
We know that ,
P ( a student who is above 20yrs) = \(\frac{no. of favourbale outcomes}{no of favourbale outcomes}\)
or , 0.25 = \(\frac{no. of favourable outcomes}{1000}\)
or , no. of favourable outcomes = 0.25 \(\times\) 1000 = 250
Here , the number of students apperared in SLC exam = 100000
Total no. of experiments = 100000
No. of students who passed in 1^{st}and 2^{nd}division = 24000
Here , P(passed in 1^{st} and 2^{nd} division) = \(\frac{number of favourable outcomes}{total no. of experiments}\)
= \(\frac{24000}{100000}\)
= 0.24
From the number cards numbered from 1 to 15 a card is drawn at random. Find the probability of getting a card having prime number.
(frac{2}{4})
(frac{2}{5})
(frac{2}{8})
(frac{2}{6})
From the cards numbered from 5 to 20, a card drawn at random. Find the probability of getting a card of prime number.
(frac{3}{5})
(frac{3}{8})
(frac{3}{4})
(frac{3}{6})
What are probabilities of impossible event and certain event?
0,1
2,3
1,4
1,2
Find the probability that a number chosen at random from the integers between 10 and 20 inclusive is sa multiple of 5 or multiple of 2.
(frac{4}{11})
(frac{7}{11})
(frac{6}{11})
(frac{7}{10})
From the number cards numbered from 1 to 30, a card is drawn at random. Find the probability of getting prime number.
(frac{1}{3})
(frac{5}{3})
(frac{4}{3})
(frac{6}{3})
A natural number is chosen at a random from amongst the first 100 natural numbers. What is the probability that the number so chosen is divisible by 3?
A marble is drawn from a box containing 15 black,5 green,10 red and yellow marbles. Find the probability that the marbles is black.
(frac{3}{8})
(frac{4}{8})
(frac{6}{8})
(frac{5}{8})
A box contains 5 red, 6 black and 7 blue balls. If a ball is drawn at random, Find the probability of not getting a black ball.
(frac{2}{5})
(frac{2}{3})
(frac{2}{4})
(frac{2}{6})
A basketball contains 3 red, 4 black and 5 white balls. A ball is drawn randomly from the basket, Find the probability of not getting a black ball.
(frac{2}{5})
(frac{2}{4})
(frac{3}{3})
(frac{2}{3})
In a class of 40 students , 3 boys and 5 girls wear the spectacles. The teacher called one of the student s in the office. Find the probability that this student is wearing the spectacles.
(frac{1}{4})
(frac{1}{7})
(frac{1}{2})
(frac{1}{5})
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Prashant
What is imperial probability?
Feb 07, 2017
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lanthu
what is the range of probability
Jan 22, 2017
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samir
And bag contain 11 white and 9 green balls of same shape and size . Two balls are drawn one by one randomly (with out replacement ) from the bag . Show the probabilities of all possible out - comes into an tree diagram.
Jan 13, 2017
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