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Disease Prediction
• Statistical models are used to predict the spread and impact of
infectious diseases, such as influenza, COVID-19, and Ebola.
• Data analysis creates epidemic curves that show the progression of
disease outbreaks over time.
• The US government uses statistics to understand which disease is
affecting the population the most. This helps them in curing these
diseases more effectively. To understand the extent of any of the
infectious diseases in a given population.
For example, the government can analyse the areas where COVID cases
are increasing, or where the vaccination drive needs to be improved.
Options of Voters
• Statistics are used in elections to enhance transparency for
voters and encourage voters to participate in elections.
• By surveying a group of voters and analysing the results,
statistics can reveal what the majority of people think about
political candidates, policies, or upcoming elections. This helps
politicians and decision-makers to understand public opinion.
• Statistics play an important role in Election Forecasts, making
Campaign Strategies and micro-target individuals based on
available data.
What is Probability in Statistics?
Probability is a branch of statistics that deals with the likelihood or chance of an event to happen or different
outcomes occurring in a given situation.
• It measures the amount of certainty of an event.
• It helps us make predictions about future events based on the data we have.
• It helps us understand how likely something is to happen.
The formula for probability is given as the ratio of the Number of Favourable Outcomes to the Total Number
of Possible Outcomes.
Number of Favourable Outcomes
P(A) =
Total Number of Possible Outcomes
Where, P(A) - is probability of happening of an event (A)
Let us understand it using the example of a coin.
When a coin is tossed, there are two possible outcomes: head or tail.
What is the probability of getting a head?
1
P(Head) =
2
1 1
So, we see the chances of getting head is and the chances of getting tail is .
2 2
Maths for AI (Statistics & Probability) 185

