No matter what industry you work in, doing research is an inevitable part of your job.
It is the first and most essential step to prepare yourself for a certain task. The results from research statistics about any topic are the easiest way to learn and be aware of the issues you’re about to encounter.
But where are you supposed to even begin?
No, no, don’t Google it. This time Google is the answer.
Google is the biggest playfield for people who are into researching. Every statistical data analysis begins and ends with it.
In this article, we’re going to dig deeper than what basic statistics for research have to say.
Let’s open up with some truly fascinating stats:
If you want to be good at what you do, you need to know all about the research statistic. The 6 statistical methods in research are:
Not every search type can be used for everything. Take a look at statistics say best research methods are and choose the one best fitting your needs.
As the statistics for research claims, the research market is worth a whopping $76 billion.
Can you imagine?!
44% of the global market belongs to the USA, say the statistics for researchers.
That’s not exactly surprising, given how big the US is.
The American research agency Nielsen was founded in 1923 and they are now the top leader in statistical research and other sectors. Their revenue in 2018 was unbelievable – $6.5 billion! Their experimental research in statistics is among the best in the US and in the world.
Around 260 companies are a part of this industry. The total revenue is around $1 billion annually.
The statistics and research industry had a growth of 4.2% between 2013 and 2018. It is expected to grow even more when different types of statistics in the research get involved too. Like the AI research which is really taking off lately.
Research is a serious business and the number of 6788 employed in the research and statistics business tells all about it.
When you’re conducting research, you have two options. The statistics on research methodology say you can either use the quantitative or the qualitative method. They both do the same job but from different aspects.
There are many research methods and statistics in psychology. As one of the fields that require lots of research in order to find the best solution, this seems completely normal. There are mainly 3 options – correlational, descriptive, and experimental research. These, however, differ a lot.
If you’re about to research a topic, but you don’t want to get too much involved in details like where, who, why, and how, the descriptive research is the best for you. It is one of the most used statistical research methods on the internet.
The statistics as a tool for social research are being used for making the famous infographics. Social research is made when different groups of people are being placed in different categories.
The statistics tools for data analysis are probably the most important thing that every researcher needs when trying to do a good job. Even though there are more different ones, Microsoft Excel is still among the top programs for this.
There are tons of medical problems and books about finding solutions. Doctors spend a lot of time studying medical cases. However, without the research statistics made by professionals in the past, all this wouldn’t matter at all.
There’s a clear distinction between the research hypothesis and the statistics hypothesis. The second one is based on facts. The first one is outlining the thesis the author is presenting.
The CEOs of big companies around the world always have a team that conducts operation research. It is used for making certain statistics in research topics that are connected to the company.
(Towards Data Science)
Procter & Gamble, the consumer spending company is the leader in this field. The operations research vs statistics is part of their everyday work. This is why they make $76 billion in sales every year.
The consumer research statistics show that this type of research is essential for understanding client behavior. However, less than 40% of marketers use it in their business.
(Think with Google)
Doing research and choosing the best method for it is one thing, but presenting it to superiors is a different one. The importance of inferential statistics in every research is underestimated. The inferential statistics made from research are the best way to tell about what you found out. This is done through graphs, tables, etc.
Descriptive and inferential statistics in research have a close connection and one can’t be complete without the other.
So now you see the true purpose of statistics in research! Their importance is undeniable.
Even though we might not be aware of it, research statistics are all around us. Marketing is almost completely done based on different research methods and statistics. Almost all other industries are using statistics in research for creating better products. These products later benefit both us as consumers and help companies make profits.
So, what is the moral of the story?
Never underestimate research statistics.
Every business relies on proper research and creating a statistic analysis. These two are the core of understanding the needs and the path every company should take. By using different research methodology statistics, the companies find it easier to get results in their work.
In order to create a statistic in any research, you need information based on that research. The information collected is called statistical data.
When the research is done, there’s a lot of data that came from it. Before a graph or any other statistics and research methodology is created, one needs to do data analysis. Upon doing so, there is no definitive answer to how much data is created on a daily basis. That means to go over the information collected and analyze what is inside, what it means, and what it shows.
First, we need to understand and realize the importance of statistics in research. Descriptive research statistics are illustrated by a graphic or any other form of describing the statistics that came from research. The quantitative research statistics means collecting data about a certain matter where numbers play the main role. With it, the descriptive method in quantitative research means explaining the numbers from the research. The other option is using statistics in qualitative research, which means getting much deeper into explaining the research information.
Imagine that you’ve made thorough research about a topic, but it is all just words and hypothesis. The people you’re presenting your research won’t actually understand what your research did and what were the results. That’s why you need to use at least some basic research methods and statistics.
There are different types of statistics used in research. Whatever the researcher uses will be useful for the final research product. The research may pay more or less attention to details or to explain a certain topic, but without the statistical facts, ideas and hypotheses of the researcher won’t hold any ground. That’s why the role of statistics in research is an inseparable part.
There are two types of descriptive statistics in research. Measures of central tendency and variability. The importance of descriptive statistics in research is that it helps the researcher explain their data and facts.
When a person doing the research finds some interesting results they make a hypothesis based on them. For a better understanding of the research statistics, they will make a proposition based on facts and will explain the research statistics and data collected.