Statistical treatment of data also involves describing the data. The best way to do this is through the measures of central tendencies like mean, median and mode. These help the researcher explain in short how the data are concentrated.
- Step 1: Write your hypotheses and plan your research design. ...
- Step 2: Collect data from a sample. ...
- Step 3: Summarize your data with descriptive statistics. ...
- Step 4: Test hypotheses or make estimates with inferential statistics. ...
- Step 5: Interpret your results.
What is an example of statistical treatment of data?
For example, in a survey regarding the election of a Mayor, parameters like age, gender, occupation, etc. would be important in influencing the person's decision to vote for a particular candidate. Therefore the data needs to be treated in these reference frames. An important aspect of statistical treatment of data is the handling of errors.
Why is the correct treatment of data in research important?
The correct treatment of data in research is important in maintaining the authenticity, reliability, and accuracy of the research. Inaccurate treatment of data can be done in many forms and in different intensity. A data that has been totally altered or produced without any real experiments is called a fraudulent data.
What is the importance of statistical treatment?
In addition to being able to identify trends, statistical treatment also allows us to organise and process our data in the first place.
What to do if the data has been mistreated in research?
In case of a doubt that the data has been mistreated the publication company or the editor of the journal can ask the researcher to produce the original data. Small differences between original and final research data shows that the researcher worked carelessly.
What is statistical treatment of data in research example?
Statistical treatment of data greatly depends on the kind of experiment and the desired result from the experiment. For example, in a survey regarding the election of a Mayor, parameters like age, gender, occupation, etc. would be important in influencing the person's decision to vote for a particular candidate.
What is statistical treatment of data research?
What is Statistical Treatment of Data? Statistical treatment of data is when you apply some form of statistical method to a data set to transform it from a group of meaningless numbers into meaningful output.
What is treatment of data in research paper?
In Data Analysis: Applying any statistical method — like regression or calculating a mean — to data. In Factor Analysis: Any combination of factor levels is called a treatment. In a Thesis or Experiment: A summary of the procedure, including statistical methods used.
How do you include statistics in a research paper?
Oftentimes the best way to write descriptive statistics is to be direct. If you are citing several statistics about the same topic, it may be best to include them all in the same paragraph or section. The mean of exam two is 77.7. The median is 75, and the mode is 79.
How do I choose a statistical treatment?
Selection of appropriate statistical method depends on the following three things: Aim and objective of the study, Type and distribution of the data used, and Nature of the observations (paired/unpaired).
How do you write data processing and statistical treatment?
4:0211:15EASY WAY OF WRITING DATA PROCESSING AND STATISTICAL ...YouTubeStart of suggested clipEnd of suggested clipSo um that the data was gathered and then after that it was uh another little organized uh by uhMoreSo um that the data was gathered and then after that it was uh another little organized uh by uh putting it in tables.
What chapter is statistical treatment in research?
CHAPTER III Research Methodology This chapter presents the research design, population and sample of the study, research instruments, data gathering procedures, and statistical treatment of data.
Is data analysis and statistical treatment the same?
Transcription: The difference between statistical analysis and data analysis is that statistical analysis applies statistical methods to a sample of data in order to gain an understanding of the total population.
How do you treat data in qualitative research?
5 Steps to Qualitative Data Analysis5 Steps to Qualitative Data Analysis. ... Step 1: Arrange your Data. ... Step 2: Organize all your Data. ... Step 3: Set a Code to the Data Collected. ... Step 4: Validate your Data. ... Step 5: Concluding the Analysis Process.
How do you report statistical data?
Every statistical test that you report should relate directly to a hypothesis. Begin the results section by restating each hypothesis, then state whether your results supported it, then give the data and statistics that allowed you to draw this conclusion.
How do you write statistics in APA format?
1. General tips for Reporting Statistics APA StyleUse readable spacing, placing a space after commas, variables and mathematical symbols. ... Don't state formulas for common statistics (e.g. variance, z-score). ... In general, round decimals to two places, with the exception of p-values (see p-values in the next section).More items...
How do you write a statistical paragraph?
Introduction. ... Understand the users and uses of your statistics. ... Put the statistics into context. ... Provide interpretation for the statistics. ... Present main messages clearly and concisely. ... Use structure to tell the statistical story. ... Use plain language. ... Help users find the information they need.More items...•
What is statistical treatment?
There are many techniques involved in statistics that treat data in the required manner. Statistical treatment of data is essential in all experiments, whether social, scientific or any other form. Statistical treatment of data greatly depends on the kind of experiment and the desired result from the experiment.
Why is statistical treatment important?
Statistical Treatment Of Data. Statistical treatment of data is essential in order to make use of the data in the right form. Raw data collection is only one aspect of any experiment; the organization of data is equally important so that appropriate conclusions can be drawn.
Why is it important to classify data into commonly known patterns?
This is because distributions such as the normal probability distribution occur very commonly in nature that they are the underlying distributions in most medical, social and physical experiments.
Why is correct treatment of data important?
The correct treatment of data in research is important in maintaining the authenticity, reliability, and accuracy of the research. Inaccurate treatment of data can be done in many forms and in different intensity. A data that has been totally altered or produced without any real experiments is called a fraudulent data.
How to avoid mishandling of data?
To avoid mishandling of data the researcher should share data on regular basis among the peers. Beginning researcher should share and get their data checked by an advisor or mentor. There should have to be a record of data in the data notebook. The data notebook should be signed each day as it is maintained.
What happens if you present fraudulent data in a research?
Presenting fraudulent data in a research will not only result in the rejection of the research but it can also put the career of the researcher on stake . The researcher should have a record of the original data that has been recorded when the experiments or the survey was conducted. In case of a doubt that the data has been mistreated ...
What is plagiarism in research?
Plagiarism is using some one else’s data and findings to prove as your own. There have been cases of plagiarism in past where a researcher used another researcher’s data before the original researcher published it. Therefore to avoid such plagiarism the unpublished data should be kept in confidentiality unless there is a need to share it. The need for sharing an unpublished data may occur in fields where the advancement of knowledge is preliminary and should be done as fast as possible.
Why do researchers indulge in manipulation of data?
There are various reasons why researcher indulge in manipulation of data. They want to gain prominence through presenting new ideas and by showing that their hypothesis was proved true.
Why should a researcher record pictures of instruments?
The researcher can record pictures of the instruments and the work done on them. This will add to the accuracy of data. The researcher should be able to produce all the links to the final data that has been generated in case there is a need to do so.
What is the difference between original and final data?
Having major difference between original and final data means that the researcher is involved in a fraud of producing or manipulating data.
VISITORS
In order to get the true measures of the answers needed on the statement of the problem the inferential statistics will be used (Trochim 2006). With inferential statistics, the study will try to reach conclusions that extend beyond the immediate data alone.
Sample Statistical Treatment of Data in Chapter 3 (Thesis Writing)
In order to get the true measures of the answers needed on the statement of the problem the inferential statistics will be used (Trochim 2006). With inferential statistics, the study will try to reach conclusions that extend beyond the immediate data alone.
Summary
Introduction to Statistical Treatment in Research
- Every research student, regardless of whether they are a biologist, computer scientist or psychologist, must have a basic understanding of statistical treatment if their study is to be reliable. This is because designing experiments and collecting data are only a small part of conducting research. The other components, which are often not so well understood by new res…
Statistical Treatment Example – Quantitative Research
- For a statistical treatment of data example, consider a medical study that is investigating the effect of a drug on the human population. As the drug can affect different people in different ways based on parameters such as gender, age and race, the researchers would want to group the data into different subgroups based on these parameters to determine how each one affects the effe…
Type of Errors
- A fundamental part of statistical treatment is using statistical methods to identify possible outliers and errors. No matter how careful we are, all experiments are subject to inaccuracies resulting from two types of errors: systematic errors and random errors. Systematic errors are errors associated with either the equipment being used to collect the data or with the method in …
Manipulation of Data
- Manipulation of data means changing the data so that it meets the requirement of the hypothesis or to prove researcher’s stance about the research question. Small manipulation in data is not considered a fraud but it lowers the researcher integrity. It shows that the researcher worked in a careless manner and had not followed the scientific values,...
Mishandling of Data
- Mishandling of data means that the researcher worked carelessly. The researcher did not used tools like peer-review or corroboration to make sure that the data is accurate. There is no place for carelessness in the scientific research. There are various other tools that could be used to achieve accuracy of data in research. In qualitative research the researcher can explain clearly t…
Plagiarism/Fraud
- Plagiarism is using some one else’s data and findings to prove as your own. There have been cases of plagiarism in past where a researcher used another researcher’s data before the original researcher published it. Therefore to avoid such plagiarism the unpublished data should be kept in confidentiality unless there is a need to share it. The need for sharing an unpublished data may …
References
- “What is Plagiarism”. Academic Integrity at MIT. https://integrity.mit.edu/handbook/what-plagiarism.
- On Being a Scientist: A Guide to Responsible Conduct in Research. (2009). 3rd Ed. Pp-1-3. https://www.nap.edu/read/12192/chapter/2