How to write a good statistics report

Statistics is a subject that deals with collecting, presenting, organizing, analyzing and interpreting data. In simple words it can be said that it is the study concerning collecting and manipulating data. It is a branch of mathematics deriving qualitative results from quantitative data.

Statistics is a subject that students are sure to encounter no matter which branch of study they pursue, whether it be linguistics, marketing, science, psychology or other social science subjects. There are two kinds of statistics, descriptive and inferential statistics. Descriptive statistics describes the collected data in a summarized form and inferential statistics uses the collected data to explain the descriptive type. Both types of statistical branch is used for analysis of data for empirical support.

As much as statistics is useful and widespread, writing a good statistics report can be challenging. It can seem easier to apply for one of the many online statistics assignments help than to tackle the task yourself. But if you keep a few things in mind, you are fully capable of composing a meaningful, precise and exclusive report yourself.

This article presents a basic introduction to composing a good statistical report. You will still have to do all the work yourself but the following points can act as your own version of Statistics assignment help to make the report compiling a bit easier and directional for you.

  1. Realizing the intention of the assignment

Most of the statistical reports like any other assignment  presents a problem that the students have to figure out. And similar to mathematics, statistics also demands precision, that’s why it is important to know what the question is asking you to do. Because if you are unclear what you are supposed to find out you won’t be able to figure out which method would be suitable to use and how to analyse and interpret your data.

  1. Draft 

Working directionless is never a good idea, especially if you are working on a subject that in itself requires structure and accuracy. That is why making a draft before starting a project guilelessly is important in statistics. With a draft, you will have a summary of your goal, introduction of the related topic, what method to use, important information, and how you might organize it in your report.

  1. Research design

Research design is the section of your statistics report where you describe your overall strategy for data collection and its analysis. It must include all the necessary information relating to the research, so that if the readers wanted they could replicate the study following the methods used. It must start with defining your dependent and independent variables and how you are going to measure and manipulate them respectively and your hypothesis.

 Then it should define whether you would be using descriptive, correlational or experimental design. You should be specific about how are you going to collect your data and which tool you would be using. You can also give a brief description of the methods you would bee using for data analysis.

  1. Data collection 

In some assignments you might already be provided with data, but in others you’ll need to collect your own data. And for the said research you will have to collect the data from the intended population, but it is impossible to collect information from every member of the said population; that is why sampling is used. Sample is a small representative part of the whole population that you intend to study in your research.

There are two types of sampling methods used to collect data i.e, probability sampling and non probability sampling. Both of them have their own advantages and disadvantages depending on the type and purpose of your study you should choose the method of sampling wisely. As the empirical studies need a significant amount of data to generalize its findings, a quantitative approach is more viable than the qualitative one.

  1. Data analysis

There are several ways to analyze your data in statistics. Both descriptive and inferential statistics is used in the analysis of the data collected.

Descriptive statistics is used to organize data using mean, median, standard deviation, variance, etc. Then these methods are used in inferential statistics to derive conclusions about the population parameter from the data collected from the sample. Depending on the hypothesis and the type of research you must wisely decide what kind of inferential test; that is Comparison tests, regression tests, or correlation tests, would be more suited to analyze your data. 

  1. Interpretation of result

Result section describes the last outcome of the whole research. It usually states with a short statement whether the analysis of the data collected supports your hypothesis or not. It includes all the tables and graphs summarizing the conclusions derived from the data analysis. It is favorable to use tables and graphs in your result  section, as it’ll not only make it easier for the reader to understand your findings but also improve your marks.

Its pivotal to interpret the results that you have gathered as not all the readers might be as knowledgeable and familiar with the topics and analysis methods as you might be.

  1. Statistical instruments

Since in most researches the amount of data is quite vast and there are many statistical methods, like Variance, ANOVA, correlation and t test to be applied to derive the results, it can be very hard to do it on your own using calculators. One of the many reasons many students seek statistics assignment help. That’s why, with the advancement in the field of research and technology, numerous statistical tools are available for use, some of them are SPSS, R and Stata; which you may use to make your research analysis easier.

 These are the steps that you must follow for a statistical assignment.

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