Offer of the decade FLAT 20% off + sign up bonus of $20
Before going over the differences, you need to understand the fundamentals of descriptive statistics vs inferential statistics. You can use both to analyse data efficiently. So, how are they different from each other?
First, let's answer a few questions.
Descriptive statistics will help you analyse and summarise data in visual patterns. However, you will be unable to reach any conclusion or hypothesis from this type of statistics. Its function is only to help you analyse data and present it in a visually appealing format.
In inferential statistics, you take the data from a population and use it to make an inference; that is, you use this data to come to a conclusion or interpretation.
From the definitions of the two kinds of statistics, we can see an evident variation between descriptive statistics vs inferential statistics. Now, let's check out the differences between these two.
When you're trying to figure out the essential differences between descriptive statistics and inferential statistics, it is vital to get a good idea about sample and population.
Now that you know the essential characteristics of population and sample, let's see how these are important to understand descriptive statistics vs inferential statistics.
Therefore, there is no doubt that there are glaring differences when we look at this descriptive statistics vs inferential statistics. Many students wonder which of these two branches of statistics they should use to analyse their data. The answer to this question depends upon the kind of project you're working on. Both of these branches have their pros and cons, which you can look at before choosing one of these methods.
When analysing your data, if you look at the differences between descriptive statistics vs inferential statistics, you'll find it hard to choose between the two. Both have their advantages and disadvantages. Here's an easy example of this:
Descriptive statistics has its fair share of advantages. Some of these are:
Despite its pros, descriptive statistics lack in some respects:
Just like descriptive statistics, you'll find some advantages of inferential statistics as well.
Even inferential statistics is not without its disadvantages.
Therefore, from the pros and cons of descriptive statistics vs inferential statistics, you can see that both sides have their uses and faults. Now, your choice depends on the kind of assignment for which you need to analyse the data. If you're looking to form some conclusion from the data, it is better to go with inferential statistics. However, if you want to present complex data in a more straightforward visual method, descriptive statistics will help you out more.
There's nothing to worry about if you're still worried about tackling an assignment on descriptive statistics vs inferential statistics. You are not the first student to stumble on this topic. Our team of highly qualified assignment experts will be able to help you in this regard. All you have to do is send in the details of your assignment, and our writers will get in touch with you immediately. We have PhD statisticians who will ensure that the work you get will be of good quality and ensure A+ grades.
Our services include:
Why wait any longer? Ensure the best grades possible by contacting us on our 24*7 chatbox or calling us to place an order.
You can place your order for free now. Simply submit your order and see what our writers can Subscribe to get regular update!
Thank you for subscribed newsletter.
Thank you for subscribing our newsletter