Top 35+ Uses Of Statistics In Our Day to Day Life In 2023


The majority of students think that why they are studying statistics and what are the uses of statistics in our daily life.

They also want to know the importance of statistics in our daily life. Today, I am going to show you what are the uses of statistics in our daily life.

They also have a concern about what is the job scope of statistics. But first, we need to clear the information about what statistics.

There are millions of definitions of statistics. But we would like to give a short and simple definition of statistics.

It will help you to get an idea about what are the uses of statistics in daily life. Statistics is a set of equations that allows us to solve complex problems.

These statistical problems in real life are usually based on facts and figures. Sir Ronald Aylmer Fisher, is known as the father of the modern science of statistics.

On the other hand, if you are looking for statistics homework helper, then don’t worry you can get the best statistics homework help from our experts. So, what are you waiting for get help now!

To understand what is statistics better; let’s have a look at the example below:-

In this pandemic time of covid-19, statistics is used widely. If we need to determine the number of people who got vaccinated and who are left, we use statistics to obtain this data.

While doing the survey, the surveyors collect data from people to people and then convert this data into useful form with the help of statistical calculations.

So, determining the number of vaccinated people and the people who are left can be found by statistics in various regions and countries.

Around 30 crore people got vaccination against covid-19 till July 2021- according to statistics

Let’s Dig into the data about what are the statistical problems in real life.

What is Statistical Problems?

The statistical problems in real life consist of sampling, inferential statistics, probability, estimating, enabling a team to develop effective projects in a problem-solving frame.

For instance, car manufacturers looking to paint the cars might include a wide range of people that include supervisors, painters, paint representatives, car paint suppliers, or the same professionals to collect the data, which is necessary for the whole process and make it successful.

Statistical problems contain four components-

  • Put up the Question
  • Collect the data and facts by-polls, studies, and Flatiron School Reviews, etc.
  • Analyze the data with different statistical techniques.
  • Please find out the result and transmit it to the public.

The current situation of covid-19 is the best example of statistical problems where we need to determine-

  • Corona positive cases.
  • Recovered people after treatment.
  • The number of people who recovered at home.
  • People who got vaccinated or not.
  • Which vaccinations are best?
  • The number of dead people in each village, city, state, and country.
  • Side effects of various vaccines.

More questions we need to answer to convey the correct message.

What Are Uses Of Statistics?

Statistics is used in every aspect of life, such as in data science, robotics, business, sports, weather forecasting, and much more.

We have discussed all the top 35+ uses of statistics above.

Apart from this, there are various other fields where statistics concepts are applied like running, calculating the budget, calories count, and much more.

Additionally, statistics help in learning mathematical concepts better.

This is how statistics can be used in each aspect of real life.

What Is The Real World Application Of Statistics?

Statistics is used for the graphical representation of the collected data. Statistics can compare information through median, mean, and mode.

Therefore, statistics concepts can easily be applied to real life, such as for calculating the time to get ready for office, how much money is required to visit work in a month, gymming diet count of a weak, in education, and much more.

Besides this, statistics can be utilized for managing daily routines so that you can work efficiently. 

What Are The Main Functions Of Statistics?

Several functions of statistics can be used in precision to each fact, comparing the values, testing hypotheses, weather forecasting, and much more.

Statistics can help in improving the reasoning skills that are necessary to calculate uncertainty.

To solve all these kinds of problems, students can use the functions of statistics.

Besides this, the function of statistics is used for representing the facts in a definite form.

Basic Uses of Statistics in Our Daily Life

1. Government

The importance of statistics in government is utilized by making judgments about health, populations, education, and much more.

It may help the government to check Which vaccine is assertive for the corona novel virus for the citizens.

What are the progressive reports after vaccination, whether vaccines are useful or not?

For instance, the government can analyze in which areas vaccination is done and know where they need to target, or where cases are increasing day by day with the help of polls.

The governments of different nations are using statistical data to vaccinate the people. As per the data, the availability of vaccines can also be monitored.

2. Weather Forecast

Have you ever seen weather forecasting? Do you know how the government does weather forecasting? Statistics play a crucial role in weather forecasting.

The computer use in weather forecasting is based on a set of statistics functions.

All these statistics function to compare the weather condition with the pre-recorded seasons and conditions. This helps the government.

Let’s take an example of our practical life-

Suppose you are planning a two-day family trip to a hill station and we went there with our family as per the plan.

But it’s been raining continuously for two days. And you did not enjoy your trip.

What will be your reaction?

Definitely, you will be upset rather than being happy.

What is the solution, then?

Don’t worry!

The blend of technology and statistics make it possible to know the weather of a particular place by the graph that indicates it’s a rainy, sunny, normal day.

So, when we plan to travel anywhere, we can check the weather conditions, whether they are normal or not. By doing so, you can save time and energy. It also shows your smartness, of course.

For weather forecasting, predictors use the concept of probability and statistics. They employ several concepts and tools to predict maximum accuracy forecasting.

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3. Emergency Preparedness

Statistics is also helpful in emergency preparedness. With the help of statistics, we can predict any natural disaster that may happen shortly.

It will help us to get prepared for an emergency.

It also helps the rescue team to do the preparation to rescue the life of the people who are in danger.

Example: Amid the second wave of the coronavirus, India witnessed two cyclones in May 2021, “Tauktae” and “Yaas” in the Gujarat state and West Bengal, respectively.

The Indian Meteorological Department alerts the citizens before it happens and also announces which places they can affect. All these alerts and announcements they do with the help of statistics.

Another example: Statistics help in disaster management. The response and recovery teams always prefer statistics for getting the population data, services, and infrastructure present in the affected area.

Below is the image that helps you to know how the disaster management team works.

4. Political Campaigns

Statistics are crucial in a political campaign. Without statistics, no one can run a political campaign with perfection.

It helps the politicians to have an idea about how many chances they have to win an election in a particular area.

Statistics also help the news channel to predict the winner of the election.

It also helps the political parties to know how many candidates are in their support in a particular voting zone.

In contrast, it helps the country to predict the future government.

For example, you can see the statistics of how much election candidates have expended in different categories of Political campaigns. 

5. Sports

There are lots of uses of statistics in sports. Every sport requires statistics to make the sport more effective.

Statistics help the sports person to get the idea about his/her performance in the particular sports.

Nowadays sports are utilizing the statistics data to the next level.

However, the reason is a sport is getting more popular and there are various kinds of types of equipment in the sports that are used to collect data of various factor.

Statistics is used to get a conclusion from the given data.

For example, the Tokyo Olympics were postponed because of Covid-19. Statistics help in understanding that the majority of Japanese were affected in the planned Olympics duration. Therefore, they were able to postpone it and reschedule for July 2021.

6. Research

The uses of statistics in research play an essential role in the work of researchers.

For instance, statistics can be applied in data acquisition, analysis, explanation, interpretation, and presentation.

The uses of statistics in research can lead researchers to summarization, proper characterization, performance, and description of the outcome of the research.

Besides this, the medical area would be less effective without the research to recognize which drugs or interventions run best and how the individual groups respond to medicine.

Medical experts also conduct studies by age, race, or country to identify the effect of the features on one’s health.

For example, researchers use statistics to know which country did the most test of Covid-19 and how much people got affected with Covid-19. After this, they work as per the protocols of the WHO. And various labs are made for the research of Corona vaccination development.

The below image is all about how the testing was done in different countries.

7. Education

The beneficial uses of statistics in education are that teachers can be considered to be supportive as researchers during their classrooms to recognize what education technique works on which pupils and know the reason why.

They also need to estimate test details to determine whether students are working expectedly, statistically, or not.

There are statistical studies about student achievement at all levels of testing and education, from kindergarten to a GRE or SAT.

For example, teachers can calculate the average of students’ marks and employ new techniques that can help the students improve their grades.

Statistics help the government to make and modify the policies for e-learning during the pandemic. The below image helps in understanding that parents want to send their children to school as soon as possible.

8. Prediction

The figures help us make predictions about something that is going to happen in the future. Based on what we face in our daily lives, we make predictions.

How accurate this prediction will depend on many factors. When we make a prediction, we take into account the external or internal factors that may affect our future.

When they apply statistical techniques to estimate an event, the same statisticians use it.

Doctors, engineers, artists, and practitioners all use statistics to make predictions about future events.

For example, doctors use statistics to understand the future of the disease.

They can predict the magnitude of the flue in each winter season through the use of data.

Engineers use statistics to estimate the success of their ongoing project, and they also use the data to evaluate how long it will take to complete a project.

For example, now when all the schools and colleges are closed students are studying via online mode, and it is difficult for the children to study online.

In this case, teachers are working hard and trying to teach the children efficiently, and with the help of statistics, they can analyze the performance of the students and can guide them properly.

For example the USA uses the statistics to predict Hubbert’s hypothesis for oil production with the actual oil production. 

9. Predicting Disease

Predicting Disease

Statistics is even playing a role in the medical field. Statistics help us to know how many numbers of people are suffering from the disease.

It also helps us to understand how many have died from the same disease.

But the best part of statistics is that it also helps you to find out how much you are affected by the deceased.

For example, a study has shown that more than 75% of people are infected with a disease that is caused by mango. In that case, you might avoid mango to avoid this disease.

For example, after the outbreak of covid-19, we already knew the second and third waves of this pandemic, and these are spreading as per the predictions. Hence, you can estimate how statistics are useful for us.

For example, US governments used the statistical chart to understand which disease has affected their people the most. This helps them to find out the cure for those diseases. Also, they became alert to fight the disease in the upcoming years.

10. Quality Testing

Quality testing is another important use of statistics in every area of life.

On a day-to-day basis, we conduct quality tests to ensure that our purchase is correct and get the best results from what we spend.

We do a sample test of what we expect to buy to get the best. If the sample test that we have done passes the quality test, we want to buy it.

Once you are done with the quality testing and proceed to quality improvement, you also need statistics. The quality improvement center is statistical thinking that reflects the capability of decision-making that depends on data. Statistical thinking depends on three main concepts, that are:

11. Insurance

Insurance is a vast industry. There are hundreds of insurance i.e. car insurance, bike, life insurance, and many more.

The premium of insurance is based on the statistics. Insurance companies use the statistics that are collected from various homeowners, drivers, vehicle registration offices, and many more.

They receive the data from all these resources and then decide the premium amount.

Below are some of the statistics concepts that are useful for insurance.

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12. Consumer Goods

Statistics are widely used in consumer goods products. The reason is consumer goods are daily used products.

The business use statistics to calculate which consumer goods are available in the store or not.

They also used stats to find out which store needs the consumer goods and when to ship the products.

Even proper statistics decisions are helping the business to make massive revenue on consumer goods.

Suppose a business organization wants to find out the number of potential customers in a specific area, their income level and preferences, statistics help them to do so. Apart from this, any business organization can recognize its competitors and trends in the market.

Below is the image that helped the Indian government to make better policies related to consumer goods. 

13. Financial Market

The financial market completely relies on the statistical figures. All the stock prices calculate with the help of statistics.

It also helps the investor to take the decision of investment in the particular stock.

It also helps the corporate to manage their finance to do long-term business.

For instance, you want to buy the shares of a company, and you do not have an idea about the company, is it good or bad. Different types of statistical calculations such as price to book ratio, price to sale ratio, and price to earnings growth ratio will help you to invest in the right stocks.

Below are some of the statistics concepts that are useful for the finance market.

14. Business Statistics

Each large organization uses business statistics and utilizes various data analysis tools.

For instance, approximating the probability and seeing where sales can be headed in the future.

Several tools are used for business statistics, which are built on the basis of the mean, median, and mode, the bell curve, and bar graphs, and basic probability.

These can be employed for research problems related to employees, products, customer service, and much more.

Business can successfully rely on the things what is working and what is not.

Besides this, statistics are widely used in consumer goods products.

The reason is consumer goods are daily used products. The business use statistics to calculate which consumer goods are available in the store or not.

They also used stats to find out which store needs the consumer goods and when to ship the products.

Below are some of the statistics concepts that are useful for business decision-making.

15. Transportation

We can not overlook the uses of statistics in the transportation field. Statistics results regarding transport (roadways, waterways, and airways) help the government and the nation to build new roads, bridges, waterlines, and airports. 

With the help of statistics, the government can realize where they need to spend the money. They analyze the statistics problems to decide whether they need to construct new infrastructures or mend the old ones. 

Statistical data is always useful for making new policies related to transportation. The below image is helpful to the government for making new transportation rules and regulations.

16. Cryptocurrency

Statistics play an important role in the booming cryptocurrency field. Cryptocurrency is a digital currency. We pay for the goods and services in the form of bitcoins. And determine the exact price of bitcoin is a difficult thing here.

Cryptocurrency has a bright future, and it seems that many investors will invest in this platform in the future. So to evaluate the right price of the bitcoins, statistics is used here. Predicting bitcoin’s price is difficult because it changes from time to time, and statistics help us estimate the price.

Below is an example of how to use the statistics concept of maximum likelihood to calculate the standard error of the cryptocurrency. 

17. Tourism

Tourism contributes to the GDP of any nation. All the countries can generate revenue through tourism. The statistics used in tourism to find out the number of arrivals, departure, expenditure by the tourist, fatal accidents, facilities, etc.

The statistics can calculate all these factors. In addition, statistics help to improve tourism and boost the economy.

Here are the statistics of how the covid-19 had impacted the hotel occupancy rate in 2020. These statistics help to calculate the market revenue of the USA through tourism.

Advanced Uses of Statistics In Real Life

18. Computer Science

Statistics is essential for all sections of science, as it is amazingly beneficial for decision-making and examining the correctness of the choices that one has made.

With the application of statistics in computer science and machine learning, algorithms’ efficiency can be increased significantly.

One also can reduce the price of processing with the help of statistics.

If one does not understand statistics, it is not possible to know the logical algorithms and find it challenging to develop them.

Computer scientists need to concentrate on retrieval, reporting, data acquisition/cleaning, and mining.

They are assigned to the algorithms’ improvement and systems efficiency.

Besides this, they focus on machine learning, especially data mining (discovering models and relationships in information for several objectives, like finance and marketing).

Below are the steps on how the data mining process for CS uses statistical concepts.

19. Robotics

Statistics has various uses in the field of nanobots and general robotics. Various techniques can be applied in this field, such as EM, Particle filters, Kalman filters, Bayesian networks, and much more.

The robot always senses the present state by estimating the probability density function value.

With the help of new input sensories, the robots continuously update themselves and give priority to the current actions.

Apart from this, robots can compare the estimated and actual value and act as per the value.

Therefore, it can be stated that statistics is an important parameter that is used in robotics.

Example of how statistics are used in robotics.

Reactive controllers depend on sensors to create robot control. Since the mid-1990s, a new approach has been used for this purpose: probabilistic robotics. 

This approach uses statistics concepts and techniques to integrate imperfect models and sensing seamlessly. Below is an example of how probabilistic robotics are working.

20. Aerospace

Statistics is one of the important parameters on which aerospace engineering works.

There are numerous ways in which statistics are easily implemented, such as details about shrinkage and growth rate for a route.

Apart from this, statistics are used to study traffic decline and growth, the number of accidents due to aerospace failures, etc.

Several airline industries use these statistics information to check how they can work to make a better aerospace future.

Below is an example of statistical numbers of investigations done in 2012-13 on the International Space Station. (Reference: NASA)

21. Data Science

A data scientist uses different statistical techniques to study the collected data, such as Classification, Hypothesis testing, Regression, Time series analysis, and much more.

Data scientists do proper experiments and get desired results using these statistical techniques.

Besides all this, statistics can be utilized for concluding the information quickly and effectively.

Therefore, statistics is one of the helpful measures for data scientists to obtain the relevant outputs of the sample space.

Example of how hypothesis tests and statistical significance is used for data science.

22. Machine Learning

Statistics are utilized for quantifying the uncertainty of the estimated skills within the machine learning models.

These uncertainties are defined with the help of confidence intervals and tolerance intervals.

Statistics can be used for machine learning in various ways, such as for:

  • Problem Framing
  • Understanding the data
  • Data Cleaning
  • Selection of data
  • Data Preparation
  • Model Evaluation
  • Model Configuration
  • Selection of Model
  • Model Presentation
  • Model Prediction

Below is the example of machine learning problem framing using the classification method of statistics.

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23. Deep Learning

Statistics and probability both are considered methods of handling the aggregation or ignorance of data.

Deep learning can use statistics to get knowledge about abstracting several useful properties and ignorance of the details.

Therefore, it can be seen that statistics and probability are the methods to formalize the deep learning process mathematically.

That is why this can be concluded that statistics are basic for deep learning, and it would be better to understand the use of statistics in deep learning and know it.

For example, it has been seen that Maximum likelihood is not sufficient for accurate and scalable deep learning. Here, we can use the concept of statistical regularisation. 

The term regularization describes the concept of management of complex systems (as per the several rules). These rules support modifying values to solve a problem.

Below is an example of how training set and test set is used for describing why the test set is not used for overfitting the training sets.

24. Understanding Capital Income Of A Nation

Statistics are also used by the World Bank Organization to make a comparative report of each country’s GDP. Moreover, statistics concepts such as ratios, rates, averages, percentages, and others provide the best method for comparing the two or more phenomena. Using these concepts, the organization is able to draw the necessary outcomes or conclusions. 

For example: Suppose we say that a country’s capital income is about $160. This can cause confusion unless the country’s capital income does not compare with another country’s capital income. Now, people can use the concept of average (or other statistics concepts) for calculating the world’s or any country’s GDP using the capital income concepts. This is how the World Bank and other banks employ the uses of statistics.

25. Use In Electric Vehicles

Not only in the major aspects of a country but also in modern technology, there are still some hidden uses of statistics. Like in an electric vehicle, statistical data is used to calculate the speed and battery temperature. During the tests, different temperature observations are done. And it has been noticed that the higher temperature slows down comparatively faster at room temperature.

To improve the battery degradation, there are different statistical approaches that are employed. These include:

  • Analysis of the battery condition,
  • Identifying and quantifying the variables’ responses,
  • Developing the predictive ageing models that depend on the direct relevant recorded factors,
  • Reducing the data with the help of information conservation.

This is how car manufacturers prefer to use the statistics concepts. And find the importance of statistics in modern technology.

26. Quantum Computing

It is the computation type that uses quantum states’ collective qualities. It includes interference, superposition, and entanglement for conducting computations.

And there are a number of algebraic manipulations which can speed up the manipulation. Therefore, those statistics used for such manipulations can benefit from quantum computing.

Basically, computing can reduce the estimations’ number with the help of simultaneous analyses. For example, in computing, quantum algorithms are used n bits. And using the method of discrete Fourier transformation, these algorithms easily encode the 2^n elements. After which, the manipulation is done using the n bits over the 2^n components. So, we can say that the uses of statistics are found in almost all spheres of day-to-day life.

10 Uses Of Statistics In Business In 2023

Here are 10 uses of statistics in business in 2023, explained in simple language:

1. Market Research

Statistics help analyze customer preferences and market trends for informed product development and marketing strategies.

2. Sales Forecasting

Statistics predict future sales based on historical data, assisting in setting targets and planning production.

3. Quality Control

Statistics identify product variations or defects, enabling businesses to maintain quality standards.

4. Pricing Analysis

Statistics analyze customer responses to price changes, helping determine optimal pricing strategies.

5. Inventory Management

Statistics forecast product demand, optimizing inventory levels and minimizing costs.

6. Risk Assessment

Statistics assess and manage risks by analyzing historical data and quantifying potential risks.

7. Financial Analysis

Statistics analyze financial data to assess performance and support financial planning.

8. Customer Segmentation

Statistics segment customers based on demographic and behavioral data, enhancing marketing strategies.

9. Decision Making

Statistics provide evidence for evaluating alternatives and making data-driven decisions.

10. Performance Measurement

Statistics measure and evaluate indicators like sales growth and employee productivity, aiding in strategic planning and improvement.

How to Become a Statistician In 8 Simple Steps

If you want to become a statistician, then you just have to follow these 8 simple steps, which are as follows:

1. Education: Get a bachelor’s degree in statistics, mathematics, or a related field.

2. Build A Strong Foundation: Take courses in probability, statistical methods, data analysis, and computer programming.

3. Gain Practical Experience: Get internships or entry-level positions in industries based on statistical analysis, such as healthcare, finance, or research.

4. Develop Technical Skills: Master statistical software and programming languages commonly used in the field, such as R, SAS, Python, or SPSS. Most companies use a data analysis test to screen candidates, so being proficient in the fundamentals will help you reach the final rounds of the hiring process.

5. Certification: Certifications can enhance your credibility and demonstrate your expertise in the field.

6. Job search: Prepare a strong resume highlighting your education, experience, and technical skills. You can use job application automation tool for your job search.

7. Interview preparation: Review common statistical interview questions and practice your responses.

8. Continuous growth: Use new statistical methodologies and technologies.

Career Scope of Statistics You Must Know

  • Mathematician. Using existing and newly-developed principles, mathematicians can develop statistical models to analyze data.
  • Market Research Analyst.
  • Atmospheric Scientist/Meteorologist.
  • Statistician.
  • Operations Research Analyst.
  • Financial Analyst.

Also Read..!!

Benefits Of Statistics In Our Daily Life

Here are some benefits of statistics in our daily life: 

  • Statistical data helps in making informed decisions in various aspects of life.
  • Statistics helps in understanding trends and patterns in data.
  • It enables us to analyze and interpret information effectively.
  • Statistics plays an essential role in research and scientific studies.
  • It assists in predicting outcomes and making accurate forecasts.
  • Statistics is used in fields such as economics, finance, marketing, and healthcare for data analysis and decision-making.
  • It helps in understanding social phenomena and behavior through surveys and polls.
  • Statistics helps in evaluating the effectiveness of policies and programs.
  • It provides a basis for comparison and benchmarking.
  • Statistics helps in identifying and solving problems by providing evidence-based insights.

Topics For Statistics In Real Life Project

Here are some topics for real-life statistics project ideas

  • Analysis of crime rates in a specific city or region
  • Examining the correlation between exercise and heart health
  • Investigating the Impact of smoking on lung cancer rates
  • Studying the effectiveness of a new drug or medical treatment
  • Exploring the factors influencing student performance in Exams
  • Analyzing customer satisfaction levels in a specific industry
  • Investigating the relationship between unemployment rates and economic growth
  • Examining the impact of social media usage on mental health
  • Analyzing traffic patterns and congestion in a city
  • Studying the factors affecting employee productivity in a workplace
  • Investigating the correlation between weather conditions and tourism rates
  • Analyzing consumer buying patterns and preferences
  • Exploring the relationship between housing prices and location
  • Investigating the effectiveness of advertising campaigns on sales.


This blog has provided information about what is statistics, and what are statistical problems in real life.

Now you may be aware of the uses of statistics in daily life. It is nourishing our everyday life and helps us to make effective decisions.

If you are a statistics student and you need statistics homework help or statistics assignment help, then you can contact our experts for help.

They will help you out in clearing your doubts regarding statistics. And help you to make the best statistics assignment.

Frequently Asked Questions

Q1. What skills are required to study statistics?

If you want to study statistics, you need a strong knowledge of mathematical concepts, analytical and logical thinking, reading ability and research potential, etc. In the beginning, it doesn’t seem easy to study statistics, but gradually when you sharpen your concepts, you will feel confident.

Q2. Does the statistics profession have a scope?

Undoubtedly, it is the most valuable profession nowadays. It is a high-paying profession, and as you read earlier about the uses of statistics, you can realize how wide a scope it has. Almost no profession can do better without effective statistics.

Q3. What are the uses of statistics in our daily life?

1. Sports
2. Prediction
3. Weather forecasting
4. Medical Science
5. Sports
6. Education
7. Insurance
8. Governance

Q4. What are the different types of descriptive statistics?

Descriptive statistics are of four types which are as follows:

1. Measure of frequency.
2. Measure of dispersion.
3. Measure of position.
4. Measure of central tendency.