\(\dfrac{1}{2}\)
\(\dfrac{1}{16}\)
\(\dfrac{1}{8}\)
\(\dfrac{1}{4}\)
\(\dfrac{1}{3}\)
Let \( H \) represent heads and \( T \) represent tails.
The sample space for tossing a coin three times is:
\[ S = \{HHH, HHT, HTH, HTT, THH, THT, TTH, TTT\} \]There are 8 equally likely outcomes.
Let \( A \) be the event that a tail occurs in at least two tosses.
\[ A = \{HTT, THT, TTH, TTT\} \]There are 4 outcomes in \( A \).
\[ P(A) = \frac{4}{8} = \frac{1}{2} \]Let \( B \) be the event that a head occurs on the second toss.
\[ B = \{HTH, HTT, THH, THT\} \]There are 4 outcomes in \( B \).
\[ P(B) = \frac{4}{8} = \frac{1}{2} \]We want to find the probability of getting a head on the second toss given that a tail has occurred in at least two tosses. This is \( P(B|A) \).
Using the conditional probability formula:
\[ P(B|A) = \frac{P(B \cap A)}{P(A)} \]\( B \cap A \) is the event that a head occurs on the second toss and a tail occurs in at least two tosses.
\[ B \cap A = \{HTT, THT\} \]There are 2 outcomes in \( B \cap A \).
\[ P(B \cap A) = \frac{2}{8} = \frac{1}{4} \]Therefore,
\[ P(B|A) = \frac{P(B \cap A)}{P(A)} = \frac{\frac{1}{4}}{\frac{1}{2}} = \frac{1}{2} \]The probability of getting a head on the second toss given that a tail has occurred in at least two tosses is \( \frac{1}{2} \).
Let’s define the events more precisely:
The intersection \( A \cap B \) is the event where both conditions hold: at least two tails occur and there’s a head on the second toss. The outcomes satisfying this are {HTT, THT}.
Therefore:
\[ P(A \cap B) = \frac{2}{8} = \frac{1}{4}. \]
Now, we can calculate the conditional probability \( P(B|A) \):
\[ P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{\frac{1}{4}}{\frac{1}{2}} = \frac{1}{2}. \]
A shop selling electronic items sells smartphones of only three reputed companies A, B, and C because chances of their manufacturing a defective smartphone are only 5%, 4%, and 2% respectively. In his inventory, he has 25% smartphones from company A, 35% smartphones from company B, and 40% smartphones from company C.
A person buys a smartphone from this shop
A shop selling electronic items sells smartphones of only three reputed companies A, B, and C because chances of their manufacturing a defective smartphone are only 5%, 4%, and 2% respectively. In his inventory, he has 25% smartphones from company A, 35% smartphones from company B, and 40% smartphones from company C.
A person buys a smartphone from this shop
(i) Find the probability that it was defective.
Probability is defined as the extent to which an event is likely to happen. It is measured by the ratio of the favorable outcome to the total number of possible outcomes.
The set of possible results or outcomes in a trial is referred to as the sample space. For instance, when we flip a coin, the possible outcomes are heads or tails. On the other hand, when we roll a single die, the possible outcomes are 1, 2, 3, 4, 5, 6.
In a sample space, a sample point is one of the possible results. For instance, when using a deck of cards, as an outcome, a sample point would be the ace of spades or the queen of hearts.
When the results of a series of actions are always uncertain, this is referred to as a trial or an experiment. For Instance, choosing a card from a deck, tossing a coin, or rolling a die, the results are uncertain.
An event is a single outcome that happens as a result of a trial or experiment. For instance, getting a three on a die or an eight of clubs when selecting a card from a deck are happenings of certain events.
A possible outcome of a trial or experiment is referred to as a result of an outcome. For instance, tossing a coin could result in heads or tails. Here the possible outcomes are heads or tails. While the possible outcomes of dice thrown are 1, 2, 3, 4, 5, or 6.