Statistics come from the Italian word ‘Statista’ or German word ‘statistics’ or from the Latin word ‘status’ which means “political state”. Statistics is collecting, organizing, analysing, interpreting and presenting data. Statistics are used by us daily, especially, whenever we compare two things. Be it, the price of gold, stocks, performances of companies or price of products, we, sometimes unknowingly, use a part of Statistics, to make rational decisions. What is Statistics nature? What are the types of statistics? Learn more about those topics here. Also, to get **Statistics Course Help **from best tutors, and get on-time deliverance of non-plagiarized quality content.

**Nature of Statistics as per psychology Statistics Course Help expert**

Often debated basic question about statistics is whether it is science or art?

The answer to this question is simple: statistics is both science and art. Statistics require systematic methods, following the same general rule of application, which makes it science. Yet, its successful application of systematic methods is an art, which requires skills. The successful comparison and analysis between data are also one of the major parts, which results in Statistics also being an art.

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**Types of Statistics**

Statistics, being both arts and science, is part of both Maths and Economics, yet it is as vast a study that it is one of the major subjects to graduate from. Neither aspiring mathematicians nor economists can avoid learning Statistics, due to its importance. As vast as Statistics may be, there are mainly two important types of statistics. And those are:

- Descriptive Statistics: Descriptive statistics, as the name suggests, offers a description of data being provided. The data can later be used for inferential statistics but here, more focus is done on the quantitative measurements and representation.

*For example*, a detailed cricket scoreboard, where runs, balls, 4s, 6s of each player is displayed. These details are often looked up by fans, for fun or for getting information.

In the above example, data is only collected, organized and presented descriptively. By just this presentation of data, people can compare if they want, but the data just remains purely descriptive and not easy for a good comparison. Such as, a player might have scored more runs but also have played more balls than others who scored less but at a faster rate. For such comparisons, Inferential Statistics work well. To learn more on this topic, or to get content worth of an assignment, get the **Psychology Statistics Course Help** from our very proficient experts. Get to learn in-depth about Descriptive statistics and any assignment on it, by availing for the **Psychology Statistics Course Help**.

- Inferential Statistics: Inferential Statistics makes inference based on the data collected and organized. Inferential Statistics through various methods tries to make meaning out of the data given. It is more comparative. Through methods of mean, median, mode and many other such techniques, it interprets and analyses the collected data. For learning those methods and their application, get the
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*For example*, if you continue with the type of data provided in examples of descriptive statistics, many kinds of analyses could be made. Through calculating the strike rates of each player, people can compare how the player performed. Through calculating the average of past innings of a player, one can find out about his/her form. And many other techniques like dot ball- boundary ratio and economy rate, many different analyses and interpretations can be made.

Thus, from the above example, we realize that how many methods help with interpreting and analyzing the data provided. Do you have an assignment on Inferential Statistics? Do you want to learn more importance of Inferential Statistics? Then get your **Psychology Statistics Course Help **from the most capable minds of the world.

One can realize that both descriptive statistics and inferential statistics go together, yet they both serve very different purposes. They can be easily confused, as the procedure of both starts similarly to collecting data. So, for more examples on and for more differences between Descriptive and Inferential statistics, get the** Psychology Statistics Course Help** from our tutors who are the experts in their fields.

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**Psychology Statistics Course Help Sample Question**

This is research methods of psychology, it’s a mix in between statistics and psychology.

**Psychology Statistics Course Help Sample Question Answer**

- The t-test which is independent sample a member of the t-test family consisting of tests that compare mean value of continuous-level, normally distributed data. The independent sample t-test compares two means. It assumes a model where the variables in the analysis are split into independent and depen. The independent sample for t-test is an dependence analysis. It is one of the most widely used tests so called as t-test.
- unPaired t-test because tested groups are not the same One tail because we are comparing both brands to see which is more effective

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