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Measures of Central Tendency in Statistics We use mean, median, and mode to find the central measures of tendency. In our day-to-day life, we find the average height of the students, the average income, the average score in exams, or of the player.
What are some examples of statistics? Statistics can be used in real life to plan budgets, determine the best routes to travel, find the best prices for products bought and sold, and the best times to perform various daily activities.
Statistics can be used in real life to plan budgets, determine the best routes to travel, find the best prices for products bought and sold, and the best times to perform various daily activities.
Most people find it difficult, yes. It involves a lot of math but is different from math because you have to deal with probabilities instead of exact numbers. Most people find that conceptually challenging. Youll do fine, though, if you have an analytical mind and diligently study the material.
For instance, politicians and campaign managers use statistics to target specific voter demographics, gauge rates of constituent approval, and predict elections. Additionally, law enforcement agencies track data about fraud and crime that is then used to evaluate the effectiveness of strategies and tactics.

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Statistics majors obtain quantitative and strategic skills, which are becoming increasingly important in all sectors of society, such as private business, non-profit sector, government and education. Our graduates enjoy successful careers in a variety of fields: Actuary. Data Scientist.
Statistics can be used to predict the future, determine the probability that a specific event will happen, or help answer questions about a survey. Statistics is used in many different fields such as business, medicine, biology, psychology and social sciences.
There are a lot of technical terms in statistics that may become overwhelming at times. It involves many mathematical concepts, so students who are not very good at maths may struggle. The formulas are also arithmetically complex, making them difficult to apply without errors.

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