Test: Probability Experimental Approach - Class 9 MCQ

# Test: Probability Experimental Approach - Class 9 MCQ

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Test: Probability Experimental Approach - Question 1

### Empirical probability P (E) of an event happening is defined as:

Detailed Solution for Test: Probability Experimental Approach - Question 1

Definition of Experimental Probability: The experimental probability of the happening of an event is the ratio of the number of trials in which the event happened to the total number of trials.
The experimental probability of the occurrence of an event E is defined as:

Test: Probability Experimental Approach - Question 2

### If the probability of winning the game is 0.7 then, what is the probability of losing it?

Detailed Solution for Test: Probability Experimental Approach - Question 2

The probability of anything is 1.
∵ It is given that the probability of winning the game is 0.7
Therefore, the probability of losing the game is
1 - 0.7 = 0.3

Test: Probability Experimental Approach - Question 3

### One card is drawn at random from a pack of 52 cards. What is the probability that the card drawn is either a red card or a king ?

Detailed Solution for Test: Probability Experimental Approach - Question 3

Clearly, n(S) = 52.
There are 26 red cards (including 2 kings ) and there are 2 more kings.
Let (E) be the event of getting either a red card or a king.
⇒ n(E) = 28
∴ P(E) = n(E) / n(S) = 28/52 = 7/13

Test: Probability Experimental Approach - Question 4

An unbiased dice is thrown. What is the probability of getting an even number or a multiple of 3?

Detailed Solution for Test: Probability Experimental Approach - Question 4

the event of getting a number that is either an even number or a multiple of 3.
C = {2,3,4,6}
n(C) = 4

Test: Probability Experimental Approach - Question 5

The maximum probability of an event of a trial is:

Detailed Solution for Test: Probability Experimental Approach - Question 5

Test: Probability Experimental Approach - Question 6

In an experiment, 100 drawing pins were dropped on a floor. 73 landed point up and the rest landed point down. A pin is selected at random and dropped. What is the probability that the pin will land point down?​

Detailed Solution for Test: Probability Experimental Approach - Question 6

⇒ Total number of pins = 100

⇒ Number of pins that landed pointed up = 73

⇒ The number of pins that landed pointed down would be = 100-73 = 27

⇒ P( the pin selected and dropped would be pointed down) = Number of pins that landed pointed down / total number of pins.

⇒ Probability = 27/100 = 0.27

Test: Probability Experimental Approach - Question 7

What is the probability that a leap year has 53 Sundays?

Detailed Solution for Test: Probability Experimental Approach - Question 7

In a leap year, there are 366 days.
∵ There are 52 weeks
i.e.52×7=364 days

⇒ The remaining 2 days may be {(Sun, Mon), (Mon, Tue), (Tue, Wed), (Wed, Thu),(Thu, Fri), (Fri, Sat), (Sat, Sun)}.

∴ P (53 Sundays ) = 2/7.

Test: Probability Experimental Approach - Question 8

In a simultaneous throw of a pair of dice, the probability of getting a sum more than 7 will be______.

Detailed Solution for Test: Probability Experimental Approach - Question 8

E ⟶ event of getting a sum more than 7

No. of favorable outcomes = 15 {(2, 6) , (3, 5) , (3, 6) , (4, 4) , (4, 5) , (4, 6) , (5, 3) , (5, 4) , (5, 5) , (5, 6) , (6, 2) , (6, 3) , (6, 4) , (6, 5) , (6, 6)}

Total no. of possible outcomes = 36

P(E) = 15/36 = 5/12

Test: Probability Experimental Approach - Question 9

Three unbiased coins are tossed. What is the probability of getting at most two heads?

Detailed Solution for Test: Probability Experimental Approach - Question 9

Here S = {TTT, TTH, THT, HTT, THH, HTH, HHT, HHH}

Let E = event of getting at most two heads.

Then E = {TTT, TTH, THT, HTT, THH, HTH, HHT}.

Test: Probability Experimental Approach - Question 10

An event for an experiment is defined as:

Detailed Solution for Test: Probability Experimental Approach - Question 10

An event that cannot possibly happen has a probability of zero. If there is a chance that an event will happen, then its probability is between zero and 1.
Examples of Events: tossing a coin and it landing on heads.

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