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Around 875,000 students graduate every year from different universities. It means, every year, universities receive 875,000 dissertations on various subjects. The number you can see here is extracted from different universities, and the process through which the data is gathered and analyzed to derive results is referred to as statistics.

It is one of the most popular subjects that students pursue, and is also considered the toughest one. During the study, they receive plenty of academic tasks like solving scientific, industrial, and corporate problems by analyzing the given data. At the end of the course, the professors assign them the most challenging academic task, i.e., dissertation.

If you are worried about starting and completing this task, seeking statistics dissertation help from Assignment Desk experts can be the last resort to elevate your grades. It is because writing a dissertation on this subject requires a good knowledge of collecting, interpreting, and evaluating the data in such a manner that the solution to any complex statistical question can be achieved without any hassle. But now you need not worry about these things! Our statistical analysis experts will satisfy all your requirements and work according to your university guidelines to ensure excellent grades.

Let’s get started by understanding statistics as a subject to draft a compelling dissertation.

What Is Statistics?

Statistics is a mathematical science used to analyze, interpret, explain, and present the large data so that one can easily derive the results. The application of statistics is widely used to solve problems related to a scientific, industrial, and social problem.

After getting an insight into statistics, you need to know the different types of statistical data required to find the solution to the problem of the dissertation that you have received.

What Are the Different Types of Statistical Data?

If you are writing a statistics dissertation, you must know that it is crucial to conduct Exploratory Data Analysis (EDA) while solving any statistical question. This statistical analysis help in evaluating all the measurements used for specific data types, which are already discussed below.

  1. Categorical

In a statistics dissertation, you need to represent every given data's characteristics, and it can only be done by categorical data representation. It is the type of statistical data that helps in representing things like an individual’s gender, language, caste, religion, etc. The categorical data includes numbers that don’t have any mathematical meaning.

It is divided into two categories, which are as follows:

  1. Nominal

The nominal data represents only discrete units, which are used to label different variables to units. It is the simplest form through which one can easily derive the outcome of any data analysis. The variables in the nominal data can’t be manipulated and measured but presented visually using a pie chart. However, you can see two instances of representing the nominal data that are mentioned below.

Are you married?

  • Yes
  • No

What languages do you speak?

  • English
  • French
  • Spanish
  • German
  1. Ordinal

The ordinal data is quantitative in nature, and the variables in this type of data are naturally occurring in ordered categories. It helps in calculating the distance between two different categories involved to present any statistical data. Every data related to ordinal is presented in numerical form and structured in sequence from start to end.

Our dissertation statistics help providers have shared two distinctive ordinal data examples below.

In a university with 2500 students, there are various categories – freshers, sophomores, juniors, seniors. After the term begins, this is the count of every category.

  • 400 – Freshers
  • 700 – Sophomores
  • 650 – Juniors
  • 750 – Seniors

A company conducts a quarterly employee satisfaction survey that primarily presents this question: “How happy are you with your seniors and peers?”

  • Extremely Happy – 1
  • Happy – 2
  • Neural – 3
  • Unhappy – 4
  • Extremely Unhappy – 5
  1. Numerical

In a statistics dissertation, every data that is analyzed signifies one or many characteristics. The numerical type of statistical data is something that is measurable in the form of time, height, weight, amount, and so on. One of the best ways to check whether the data presented is in numerical form or not is by seeing if it can be added together. You can perform any mathematical operation on almost every statistical data. It has four distinctive parts, which are as follows.

  1. Discrete

Every data that is categorized into a set classification and based on counts is called discrete data. While writing the dissertation on statistics, you must use a finite number of values as much as possible. It helps you provide an exact number.

  1. Continuous

In numerical type of statistical data, continuous data is used very often by many researchers. It helps you describe the data in simple and straight way. This type of data uses percentiles, median, inter-quartile range, mode, mean, and standard deviation like formulas and concepts. While writing the statistics dissertation, you must solve many questions using these formulas and concepts. In case you don’t have appropriate knowledge about it, help with dissertation statistics from our professionals is the best available option.

  1. Interval

Interval type of statistical data is used when the difference between two numbers is known. It is also termed as a sequence through which one can easily derive the data and understand the next numeric value without any hassle.

Our statistics dissertation help providers have shared a simple yet the best example below:

  • What is the temperature of city?
  1. -10
  2. -5
  • 0
  1. 5
  2. 10

In this, you can easily identify the next value of the temperature that the question could have mentioned that is 15. And the difference between every digit is 5.

  1. Ratio

The ratio method in statistics is kind of similar to interval method. Every value that is included in this type of data shows the similar difference. There is only one key difference between interval and ratio method is that the ratio method doesn’t include an absolute zero while the interval does. The examples of ratio method includes, height, weight, age, etc.

These are the two different types of statistical data along with a few categories. While writing a statistics dissertation, you must have good understanding of all these types so that you can draft a perfect document. On the other hand, the dissertation requires you to present your findings, and in statistics, it can be done by deriving the data using statistical formulas. If you lack knowledge of the statistical methods, the statistics dissertation help providers have shared a few methods in the following section.

What Are the Statistical Methods Used to Derive Data?

  1. Frequency Method

In this particular method, you analyze the occurrences of data to measure central tendency, dispersion, percentiles, etc. It is essential to have a thorough understanding of this particular method because it helps in deriving the data clearly and precisely than any other method used in statistics.

  1. Proportion Method

To derive the data using the proportion method, you should understand and acknowledge all the ways to divide the frequency by the total number of events presented in any question or concept. It helps in simplifying the data so that the reader can easily use the result in another statistics concept.

  1. Percentage Method

In statistics, everyone uses the percentage method to represent the data. It simply denotes one-hundredth of the total or whole numerical value. Therefore, it is calculated by simply dividing the entire figure by 100. It helps in deriving the data and is the most commonly used method among all.

  1. Visualization Method

The visualization method helps express the statistical value in terms of images, graphs, diagrams, or charts to communicate a message and make the reader understand how you derived the data. If you are not good at presenting the data using this method, you need not worry! With statistics dissertation help from our writers, you will not face any problem.

These are four crucial statistical methods that you should know for statistics dissertation writing. It helps in deriving all the types of data without any hassle. If you get stuck in deriving data and coming up with an authentic result or outcome, you must seek statistics dissertation help from our professionals. It is because even if you know how to derive data, you may face many challenges while analyzing the same. To know more about what kind of challenges you may encounter, you must go through the next section.

What Are the Challenges of Analyzing the Statistical Data?

  1. Visual Representation of the Data

One of the biggest challenges that you face while writing a statistics dissertation is analyzing the data and representing it visually. You should know that statistics includes charts, bar graphs, hypotheses, etc. to present the data. If you don’t have appropriate knowledge of representing the numerical data in any of the mentioned formats, you are more likely to make your dissertation less effective.

  1. Obtaining the Data from Multiple Sources

You should know that at the time of analyzing the data, you may require to extract some more information to strengthen the existing information. During the analysis time, obtaining data from multiple sources is the next big challenge you face.

  1. Lack of Support

It is quite obvious that the data is always analyzed after the preparation of the final draft. During this phase, you have limited time to analyze every data you included in the statistics dissertation content. If you get stuck anywhere while doing the analysis, you won’t find any support.

However, to save yourself from getting into such a situation, you must take statistics help for dissertation from our professionals.

  1. Shortage of Required Skills

While writing a dissertation on statistics, you should have all the required skills like writing, researching, analytical, critical, etc. If you lack these skills, you are more likely to get stuck at many stages during the dissertation writing. It is another big challenge that you face that often results in getting bad grades.

  1. Confusion

Another biggest challenge that you often face while drafting the statistics dissertation is having confusion regarding many chapters. For instance, the abstract chapter of the dissertation includes a summary of all the eight chapters that must not exceed 150-300 words. On the other hand, the conclusion chapter also presents the summarization of all chapters, but it is 700-1000 words long. You should have a good knowledge of every aspect of the dissertation. It helps in drafting one of the best documents and get you the grades you want.

These are the five different challenges that you may face while writing a statistics dissertation. Thus, you should know how to deal with them to prepare the best draft. However, if you no idea how to get the task done, the statistics dissertation help providers of Assignment Desk have got your back. The work delivered by them will help you grab an A+ instantly.

If you are searching for statistics dissertation topics, take a look at the succeeding section where our experts have listed some of the most interesting ideas.

Top Emerging Statistics Dissertation Topics Our Writers Have Covered So Far

  1. How to analyze the quality of numerical data using appropriate statistical formula?
  2. How to conduct regression modeling and estimate all the linear and non-linear models of statistics?
  3. What are all traditional approaches that help prepare qualitative and qualitative data without referencing available examples?
  4. How is data mining in finance inter-linked with the statistics?
  5. Why do statisticians think that the discrete and continuous distributions in statistics are one on the same thing?
  6. How to distinguish random expectation, variables, and variance?
  7. Explain the central limit theorem and laws of large numbers using qualitative statistical data
  8. What are the negative effects of the increase in inflation on the economy?
  9. What are all Mathieu Equation and how its application is used to process the data?
  10. What are all elements required for conducting the chi-square test of the independent performance of any organization?
  11. Why is it important to maintain consistency while doing hypothesis testing in statistics?

These are a few statistics dissertation topic ideas that will guide you to draft the best quality content at one go. If you think writing a dissertation on statistics is tedious, consider availing statistics dissertation help from our Ph.D. certified writers. In case of any doubt regarding why you should seek assistance from our writers, we insist you read the following section.

Reasons Why Students Need Statistics Dissertation Help in London

Writing a statistics dissertation is a great burden on students shoulders. It is one of the hardest tasks undertaken in universities around the globe. It requires intense focus, discipline, ability, and dedication to collect all the information and data regarding the selected topic for the dissertation According to our writers, there could be many other reasons for seeking a statistics dissertation help, but the most important reasons are stated below:

  • Lack of Concentration & Time Management
  • Lack of Information Through Any Authentic Source
  • Lack of Progress in the Statistics Dissertation
  • Lack of Research and Practice

We, as statistics dissertation help providers, ensure fulfilling every requirement of the students’ dissertation writing with our top-notch services. Our experts are the finest academic writers and are trained to deliver the quality document within the promised date.

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  • Maths Assignment Help
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