Statistics play a crucial role in real life. It is a mathematical equation used to analyze things and allows us to solve complex problems. It keeps us familiarized with what is happening in the real world. Several students are confused and wonder how statistics are used in real life and how it helps in solving problems.

If we took an example of the statistics from real-life, Covid-19 would be the best example. In this pandemic time, statistics are used widely to determine the number of vaccinated people and how much is left.

Moreover, the statistical problems in real life are usually based on facts and figures. In this blog, we will discuss major statistical problems in real life and how to solve them. But initially, let’s discuss the overview of Statistics.

**What is Statistics?**

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Statistics is a science that deals with methods and tools of collection, analysis, interpretation, and presentation of data. Statistics are generally used for research and study purposes. Through statistics, we can make decisions. Statistics deals with both qualitative and quantitative data.

Qualitative data describes qualities or characteristics. It is collected by using questionnaires, interviews, and observations. Quantitative data is a value of data in the form of counts or numbers. This data is used for mathematical calculations and statistical analysis. Quantitative data is used to find the answers of How many?, How much?, and How often?.

Let’s discuss the various statistics problems in real life.

**What are the Statistics Problems?**

There are four things that make a statistical problem that are;

- The way you ask the question
- The nature and the role of the data
- The specific way in which you examine the data
- Various types of interpretations you make from the investigations.

If we took the latest example of statistics problems, covid-19 would be the best example where we require to determine the following things;

- Cases of Corona Positive
- Number of people who recovered after the treatment
- People who recovered at home
- Number of people who got vaccinated or not
- Which vaccine is the best?
- Side effects of various vaccines
- Number of people who died in each village, city, state, and country

**Terminology Used In Statistics Problems**

There are several terminologies used in statistics. If you want to know how to solve statistics problems, you should know the terminologies used in statistics problems. However, the terminologies used in statistics problems are as follows;

**Population**

Whenever you start to solve any statistics problem, you must get data from the people linked with the given question. Now we have the data of whom we want to study. However, a population is a group of individuals or people that you want to study or learn.

**Sample**

Above, we discuss the term population. Now it becomes easy for you to learn samples. The samples are all about a subset of the total population. For instance, your population has 20 individuals. Then each individual is a sample for your study.

**Parameter**

The next thing to learn is a parameter. As the name suggests, the parameter is the scope of the study.** **The parameter is the quantitative characteristics of the population that you are studying or testing. For instance, If you want to know how much of the population uses Colgate. Then this question is a parameter. Your population and samples and any other required details will rely upon such parameters.

**Descriptive Statistics**

The next terminology to study is Descriptive Statistics. After determining the hypothesis and collection of data, you will analyze the data. Through this, you will get specific results from such a study. This is known as Descriptive Statistics.

## Also Read

- Why Study Statistics | Top Most Reasons to Study Statistics?
- What Are The Different Types Of Charts In Statistics And Their Uses?
- How Statistics Math Problems Look Like & How To Solve Them

**Steps of How To Solve Statistics Problems**

The statistics problem generally contains four components;

**1. Ask a Question**

The process will start by asking a question. It is essential to keep in mind to ask the question carefully. With the understanding of the data, you will find your answer easily.

**2. Collect Data**

It is an essential step in the process. Gathering data helps you to find the answer to the question. You get the data by measuring something. However, you should choose the measurement method with care. Sampling and experimentation are the ways you can choose to collect the data.

**3. Analyze Data**

To give an excellent solution to the statistical question, the data must be organized, summarized, and represented adequately.

**4. Interpret Results**

After analyzing your data, you must understand it to provide an answer to the original question.

These are the four-step processes to solve the statistics problems. You will slowly become familiar with the process as you examine various statistics problems.

**BONUS POINT**

**Common Problems When Using Statistics**

Following are the few common problems while using statistics;

**Removing Meaning Out Of Little Difference**

When you find differences in the groups, sub-groups, or respondents, there is a skill required to explain whether the differences in the percentage findings are large enough to be meaningful or too small to have any meaning. The essential point is to keep in mind that there is no need to put too much weight on small differences that have little or no meaning.

**Use of Small Sample Sizes**

If the size of the samples is small, caution should be taken while presenting the findings to assure that the outcomes are not misleading. For example, in a survey finding, 10% of people responded to a particular question. If the sample size is 100, it means the number of people is 10. And if the sample size is 30, it is 3.

There are several considerations here, like;

- The sample’s quality, and
- How representative they are.

But if the sample size is small, it can be misleading in terms of percentage. Besides this, raw numbers should be used to clarify that the findings are just related to a few people.

**Poor Survey Design**

The quality of the statistics is directly related to the survey’s quality from which they came. Many people use several survey tools that are freely available to design their surveys. These tools also help you in making important decisions by using unreliable data. Poor survey design results from several things, including obscure, leading, or confusing questions.

**To Sum Up**

Now you are aware of different statistical problems and how to solve them. Several people are struggling with statistical problems and wonder how to solve them. I hope now you may be aware of different statistical problems. But if you are still finding it difficult to solve complex statistics problems and think that I need someone to do my statistics homework, then get the help of our statistics experts now.

## Frequently Asked Questions (FAQs)

**What are some examples of statistics in everyday life?**

Few examples of statistics that we use in our daily life are as follows:

Medical Study

Weather forecasts

Quality Testing

Stock Market

Consumer Goods

**What are the major drawbacks of statistics in real life?**

The significant drawbacks of statistics in real life are as follows;

Statistics deal with groups and aggregates only.

Statistical methods are the best applicable to quantitative data.

It can not be applied to heterogeneous data.