Category : Statistical Analysis

Where To Get The Best Statistics Help Online

There’s no question that statistics can be a hard subject. The truth is that many students struggle with it. However, this is not only the case of students. Many times, researchers need to come up with different solutions to run their models to ensure that they get to valid conclusions and that they are able to build some reliable predictions about the future.

Discover everything you need to know about statistics.

statistics-help-online

As you already know, when you need to run statistical models, you need to rely on a sample of the population that you want to study. After all, relying on the overall population can be very costly not to mention time-consuming. Therefore, it is perfectly natural to use a sample of the population, as long as it is a representative sample, to run a model and answer the question that you want. 

Where To Get The Best Statistics Help Online

While there are many different statistics books and data analysis books that you may have the need to read, sometimes, you are simply looking for a straight answer. So, as you can imaginegetting statistics help online is the best option that you have. 

But how can you find the best resources about statistics online?

Simply put, when you are looking to get statistics help online, you need to know that you can get the information you need in 4 different ways.

#1: Statistics Courses:

Statistics-Courses

In case you are willing to spend some money, then you will be glad to know that there are some amazing statistics courses online that are pretty good. Depending o the area that you need information on, we are sure that you will be able to find the best course for you. Notice that while some of these courses are paid, you may also find others that are free.

#2: Statistics Websites:

Statistics-Websites

As you can imagine, there are tons of statistics websites where you can find vast information about statistics. Obviously, you should consider checking out StatCalculators.com where we only publish content regarding statistics. One of the best things about our website is that we are always adding new content. So, in case you have any questions, feel free to ask. We may simply answer you by email or, if it is a pertinent question, we may even write a complete post about it. 

From simple information to formulas and tests, you can find it all here.

#3: Calculators:

Calculators

When you are a statistics student or a researcher, you know that you need to perform a wide range of calculations. And while you may be using a software for some especially when you are dealing with a large data set, there are occasions when you need to make simpler calculations. And when you do, you can simply check our website where you will find all the formulas and calculators ready to help you out. 

As always, in case you miss a calculator, a formula, or even an explanation, just reach us out. 

#4: Statistics Books:

Statistics-Books

The truth is that when you are looking to learn a new subject, a book is always something to be considered. And this is no different in what concerns statistics. 

In case you don’t know, there is a wide range of statistics books for both novice, intermediate, and even advanced researchers. 


Types Of Statistical Analysis

One of the things that many people don’t know is that statistics is used in many different areas. Some of them may not even come to your mind when you think about it. Some examples include data analysis, financial analysis, business intelligence, market research, and many more. But why does this matter? Why is this important?

types-of-statistical-analysis

The truth is that statistics is the basis for many business decisions every single day. However, statistical analysis can be divided into two main types of statistical analysis – descriptive and inferential. 

Types Of Statistical Analysis

When you are analyzing information in the real world, you can use both descriptive as well as inferential statistics. The reality is that in many research done on groups of people like marketing research, for example, you can use both types of statistical analysis not only to analyze results but also to come up with conclusions. So, let’s check each type in more detail.

Check our our standard error calculator. 

#1: Descriptive Statistics:

Descriptive-Statistics

Simply put, descriptive statistics is mainly used to describe the basic features of information and then show or summarizes all the data in a rational way. So we can then state that descriptive statistics studies quantities. 

Notice that descriptive statistics uses the data from a specific population or a sample of it. As you already know, the population is a group. So, it can include numbers, tables, charts, graphs, and present raw data. 

One of the main aspects to keep in mind about descriptive statistics is that it doesn’t make any conclusions. The reality is that you’re not able to get conclusions as well as you won’t also be able to make generalizations beyond the data that you are considering. So, simply put, within the descriptive analysis, you can only describe what is and what the data shows. 

Looking to determine the standard error?

Here’s an example. Imagine a population of 30 workers in a business department. And at this point, you want to discover the average of that data set for 30 workers. However, you can’t discover what the eventual average is for all the workers in the whole company using just that data. Imagine, this company has 10 000 workers.

Despite that, this type of statistics is very important because it allows us to show data in a meaningful way. It also can give us the ability to make a simple interpretation of the data.

In addition, it helps us to simplify large amounts of data in a reasonable way.

Make sure to learn more about the standard error.

#2: Inferential Statistics:

Inferential-Statistics

Inferential statistics is a bit more complicated than descriptive statistics. Simply put, inferential analysis allows you to infer trends about a larger population based on samples of subjects taken from it. 

So, as you can easily understand, this type of analysis allows you to study the relationships between variables within a sample, you can make conclusions, generalizations, and even predictions about a bigger population. 

One of the main advantages of using inferential analysis is the fact that it allows organizations and businesses to test a hypothesis and come up with conclusions about the data they have in hand. And this is quite helpful since in most cases, it is too expensive to study the entire population of people or objects.