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What Are Events and Sample Space?

What Are Events and Sample Space?

Sample Spaces and Events

A common example of a random experiment is rolling a six-sided dice, an activity for which all possible outcomes may be stated but the actual outcome on any given trial of the experiment cannot be predicted with confidence. In such a circumstance, we want to give a number, termed the probability of the result, to each outcome, such as rolling a two, that shows how probable it is that the occurrence will occur. We’d similarly want to assign a probability to any event or set of outcomes, that reflects the likelihood of the occurrence occurring if the experiment is carried out.

A random experiment is a technique that generates a definite result that cannot be anticipated with confidence. A random experiment’s sample space is the collection of all potential results. An event subset of the sample is a space. Element and Occurrence are defined as follows: An event E occurs on a specific trial of the experiment if the observed outcome is an element of the set E.


1) Construct a sample area for the experiment that consists of tossing a single coin. Solution: Label the outcomes with h for heads and t for tails. The set is therefore the sample space: S = {h, t}.

2) Construct a sample space for the experiment, which consists of rolling a single die. Find the occurrences that match to the phrases “a number higher than two is rolled” and “an even number is rolled.” Solution: The number of dots on the top face of the die might be used to designate the results. The set S = {1,2,3,4,5,6}is thus the sample space. Even outcomes are 2,4, and 6, therefore the event corresponding to the statement “an even number is rolled” is the set {2,4,6} which is naturally denoted by the letter E. E = {2,4,6}is the formula.

A Venn diagram, as illustrated in the picture, is a graphical depiction of a sample space and events. In general, the sample space S is shown as a rectangle, the outcomes as points within the rectangle, and the events as ovals enclosing the outcomes that make up the events.

3) For two coins, there are two sample spaces. Tossing two coins is an example of a random experiment. a) Create a sample area in which the coins are indistinguishable, such as two brand-new pennies. b) Create a sample area for the case when the coins can be distinguished, such as a penny and a nickel. Solution: Following the tossing of the coins, one may observe two heads, which may be labelled 2h, two tails, which may be labelled 2t, or coins that differ, which may be labelled d. As a result, a sample space is S = {2h,2t, d}. Since we can distinguish the coins, there are now two methods to distinguish them: penny heads and nickel tails, or penny tails and nickel heads. Each result may be labelled with a pair of letters, the first indicating how the penny fell and the second indicating how the nickel landed. S′={hh,ht,th,tt} is therefore a sample space.

Finding all possible results of a random experiment can be useful in adevice that is a tree diagram, particularly one that can be regarded as continuing in phases. The following example demonstrates it.

4) Diagram of a tree: Construct a sample space that characterises all three-child households in terms of the children’s genders in relation to their birth order. Solution: Two possible results are “two boys then a girl,” abbreviated as bbg, and “a girl then two boys,” abbreviated as gbb. Clearly, there are several consequences, and attempting to list them all may make it impossible to be certain that we have identified them all unless we go in a methodical manner. The tree diagram in Figure depicts a methodical approach.

The diagram was made in the following manner. Because the first kid can be either a boy or a girl, we draw two-line segments from a beginning point, one ending in a b for “boy” and the other ending in a g for “girl.” Each of these two options for the first kid has two possibilities for the second child, “boy” or “girl,” so we draw two-line segments from each of the b and g, one terminating in a b and the other in a g. There are two options for the third kid for each of the four finishing locations in the diagram now, so we repeat the process. The tree’s line segments are referred to as branches. Each branch’s right-hand endpoint is referred to as a node. The final nodes are those on the far right; each one corresponds to a result, as illustrated in the diagram. The eight results of the experiment can easily be read off the tree, thus the sample space is, reading from the top to the bottom of the tree’s final nodes, S = {bbb, bbg, bgb, bgg, gbb, gbg, ggb, ggg}.

There are a lot more topics such as the one discussed above to be learned for your studies, refer: Probability From Class 10 Maths