Define probability and its importance in statistics
Answers
Answer:
Probability is the number of ways of achieving success. The total number of possible outcomes. For example, the probability of flipping of a coin and and it bring head is 1/2 because there is one way of getting a head and the total number of posts outcomes is 2 +a head or tail). We write P(head=1/2).The importance of probability in statistics is that we can use it to predict results of experiment under assumption. Compute probability of error larger than gives amount. Compute probability of given departure between prediction and results under assumption.
Step-by-step explanation:
probability the theoretical probability of an event E written as P(E) is defined as .
P(E) = Number of favourable outcomes
__________________________
total number of outcome
the probability a sure event is 1.
the probability of impossible event is 0.