Posts

Showing posts from October, 2019

Statistical Data Analysis — Statswork

Image
In Brief You will find the best  Research Areas / Topics  for future researchers enrolled in  Statswork  . These topics are researched in-depth at the University of Columbia, brandies, Coventry, Idaho, and many more and many more. In order to identify the future research topics, we have reviewed the stats work on the data analysis. The present article was developed based on back ground data conducted on recent peer-reviewed articles addressing data analysis stats work. Statistical data analysis is a process of performing numerous statistical functions involving collection of data, interpretation of data and lastly, validation of the data. Statistics stated that the descriptive or summary statistics are used to summarize/describe the sample data and the inferential statistics are used to infer conclusions from the hypotheses framed. Download our StatsWork  References  such as tutorials, proprietary materials, research projects and many more @  http://www.statswork.com/directory

Content Anlaysis - Statswork

Image
Content Analysis-Statswork In Brief You will find the best Research Areas/Topics for future researchers enrolled in Statswork  . These topics are researched in-depth at the University of Columbia, brandies, Coventry, Idaho, and many more and many more. In order to identify the future research topics, we have reviewed the stats work on the content analysis in text, images data. The present article was developed based on background data conducted on recent peer-reviewed articles addressing stats work. Qualitative content analysis is an approach is used to analyze the data that focuses on describing the topics that are evident in the context of words. Content analysis was originally introduced to bring out the analytical rigor in the communication sciences. Download our Stats Work References such as tutorials, proprietary materials, research projects and many more @ http://www.statswork.com/directory/ In this data-centric wor

Here are some examples of real-world statistical analyses that don’t use p-values and significance testing

Image
Here are some examples of real-world statistical analyses that don’t use p-values and significance testing Your results from a hypothesis test are statistically significant. Bravo! Are these results important? Not so. Significance not necessarily mean the results are practically significant in real world Statistical Analysis . In this blog post, I will list out few examples of real world statistical analyses that do not use p-value and significance testing. Before that, let us understand what exactly the p-value mean?                             Statswork is one among the country’s leader in providing  Data Analysis Services  and Statistical Consulting Services.  Contact Statswork for availing our services. P-value The same scenario as above have been faced by many data scientist when we talk about the p-value, isn’t it? Well, sometimes the simplest definition of p-value tend to be complicated. Technically, a p-value is the probability of obtaining an effect at least