Statistical Data Analysis Services

ANOVA is a statistical tool used for comparing statistical groups using the dependant and the independent variables. Analysis of variance (ANOVA) is a technique that uses a sample of observations to compare the number of means. ANOVA calculates statistical differences between two or more means for either groups or variances. The measured variables are called dependent variable e.g. Test score, while the variables which are controlled are termed as independent variable e.g. Test paper correction method. Statswork is one among the country’s leader in providing ANOVA and statistical consultancy services.  Contact Statswork for availing our services. Analysis of variance Analysis of variance (ANOVA) is a statistical technique which is used to compare datasets. It is commonly referred to as Fisher’s ANOVA or Fisher’s analysis of variance . It is similar to that of t-test and z-test, which are used to compare mean along with relative variance. However, in ANOVA, it is best ...

Data Analysis should change what you do, not just how you do it. - MatinMovassate If you are to choose the right data analysis plan for your study, it is first pertinent to collect qualitative data.   Since Qualitative analysis is more about the meaning of the analysis, it is too confusing with unstructured and huge data. For conducting Data Analysis for any research, it is also important to have the right methodology. If the data and methods of data analysis plan are right, it will have numerous benefits, including making the right decisions. But before that, there are certain fundamental details to know before choosing the right data analysis plan, which includes: What is qualitative data analysis? QDA is based on interpretative policy to examine the symbolic and meaningful content of data.   In other words, it is interpreting the qualitative data by many processes and procedures to transform them into great insights for taking dynamic decisions. W...

At Statswork, our experts help you to identify right sampling technique for your research work. Sampling: Sampling is a significant process in your business research or your academic research that plays a vital role in simplifying your complete   D ata Collection work. Samples are extracting from the population. Hence, the sample has the features of the population. Samples are reduced based on time and cost. Based on the theorem, it is noted that the ‘Sample mean is an unbiased estimate of the population mean’. Our Statswork experts are well aware of the sampling techniques prevalently used and we suggest you the best sampling method for your study. Several types of sampling techniques are available as follows: Random Sampling: This is the easiest form of probability technique. In this method, each and every respondent will get equal chances. However, if the target population is high then it is very difficult to define the exact sample size (Saunders et al.,...

Quantitative data are the quantifiable, numerical data which can be processed using Statistical data analysis services principles and number theory. Quantitative data helps produce conclusive evidence for proving or disproving a hypothesis. Quantitative data collection  relies on sampling and structured data collection instruments that help collect information in preordained brackets. These methods give us data that is easy to understand, compare and draw conclusive evidence. Quantitative research tests hypothesis obtained from theory and estimating results, later carrying out the research.  Depending on the question, the researcher collects data on a varied audience to collect first-hand data which will be processed subsequently. The researcher employs sampling to select the audience who will be the contributors to the data collection. Some  quantitative data collection  methods offer incentives to the audience to get genuine answers. Some of...

Characteristics of Qualitative Data Analysis: Rooted in phenomenology, symbolic interaction Field work, ethnography, naturalistic, Open Questions, Small Samples (open Ended and Tess Structured) Tools: Interactive Interviews Flexible and Evolving Emergent Focus Natural Settings Flexible Research design Settings are natural and familiar Subjective in nature Mode: Inductive by researcher Focus is quality (nature, essence) Steps of Qualitative Data Analysis: Prepare and organize data Explore data thru coding Use codes to develop description and themes Represent findings thru narratives and visuals Interpret findings Validate accuracy of findings Read More:   http://statswork.com/blog/what-is-data-analytics/ United Kingdom: +44-1143520021 India: + 91 9176966556 Email: info@statswork.com Visit: http://www.statswork.com/

End-To-End Dissertation Statistical Services 1. Research Planning & Methodology 2. Transcription 3. Data Collection & Data Mining 4. Meta-Analysis 5. Power Sample Size Calculation 6. Peer Reviewing of Statistical 7. Report Generation Read More: http://statswork.com/blog/approaching-data-analysis-how-to-interpret-data-beginners-guide/ United Kingdom: +44-1143520021 India: + 91 9176966556 Email: info@statswork.com Visit: http://www.statswork.com/

Characteristics & Steps of Quantitative Data Analysis Select The Research Design Identify the population Select the sample Conduct a Pilot Study Collect The data Organize The Data Analyse the Data Read More:   http://statswork.com/blog/what-is-data-analytics/ United Kingdom: +44-1143520021 India: + 91 9176966556 Email: info@statswork.com Visit: http://www.statswork.com/

Tips for doing Data Analysis: 1. Form clear, specific and concise hypothesis. 2. Automate repetitive analysis with syntax. 3. Note that there is no such thing as bad results. 4. Select your analysis carefully. 5. Check assumptions before you analyze. 6. Accept that you may not find significance. 7. Base your hypothesis in theory. 8. Never perform analysis on the master copy of your data. 9. Prune Data before #analysis, making is easier to focus on analysis. Read More:  http://statswork.com/blog/simple-data-analysis-techniques-top-5/ United Kingdom: +44-1143520021 India:  + 91 9176966556 Email: info@statswork.com Visit:   http://www.statswork.com/