Basic statistical tools pdf

Analytical use cases can be supported by using business intelligence BI and a visual analytics platform called Qlik sense. User-friendly, point and click interface to visualize, analyze and explore the data is called Origin Pro. The batch operations can be optimized with the workflow. The tools are provided for image processing, geometry, visualization, machine learning, data mining, etc.

A cloud-based, SaaS company with data analytics specialization for manufacturing, distribution, and retail industries is called Phocas.

The leader in next-generation business intelligence and analytics offering automation, optimization, and agility for the complete business intelligence process is called Birst. A business intelligence software to prepare data, to discover valuable insights and share it in a governed, self-served manner is SAS Business intelligence software. The businesses create and manage two dimensions and three dimensions visualizations of data by using scientific graphing and data analysis solution called Sigma Plot.

Matomo Analytics is an open-source web analytics platform. It is used in one hundred and ninety countries on over 1. Matomo Analytics was formerly called Piwik. There are several software tools available and each software tool offers different functionality to the user.

The functionality we choose will depend on the number of factors like research questions, statistics knowledge, and coding experience. These factors mean that we are at the peak of data analysis but with any research, the quality of data obtained is directly proportional to the quality of study execution. This has been a guide to Statistical Analysis Tools.

Here we discuss the basic concept with 17 different types of Statistical Analysis Tools in detail. You may also have a look at the following articles to learn more —. Submit Next Question. By signing up, you agree to our Terms of Use and Privacy Policy. Forgot Password? An idea of the sample size estimation, power analysis and the statistical errors is given. Finally, there is a summary of parametric and non-parametric tests used for data analysis. Keywords: Basic statistical tools; degree of dispersion; measures of central tendency; parametric tests and non-parametric tests; variables; variance.

Relational analysis helps the researcher understand the relationship between two or more variables. Correlation analysis identifies the strength of the relationship between two variables. When the relationship is closer 1, the relationship is more position, and the closer the number is to -1, the relationship is more negative.

A positive relationship means both variables are going in the same direction, whereas a negative relationship means the variables are going in opposite directions. A zero value means there is no relationship between the two variables.

Comparison analysis seeks to test hypotheses on a sample mean or to compare means of two samples. Nonparametric procedures are really handy when you think you are going to use one of procedures we have discussed, but for one reason or another often sample size , you cannot. Below is a list of parametric tests along with their non-parametric equivalent.

Quick answers database. Statistics calculator: Correlation and regression. Click to view or download the PDF version. While ANOVA and Regression are designed to handle multivariate analysis a follow-up to this post could be to address this in more detail.

Thanks, Scott. I've talked to you briefly at various meetings. I'm very interested in analytics. I'm trying to decide which to focus on: R? I know you have told me you use SPSS. Do we have access to this? Recent global events including the COVID pandemic and the associated rise of digital technology have disrupted educational systems from K to higher education. In response to these conditions, the Special Edition explores innovative approaches to address the disruption, reshape educational systems, and support teaching and learning.

Are you interested in publishing your doctoral dissertation in a peer reviewed journal but not sure how to find an appropriate peer reviewed journal or develop a publishable manuscript? Statistical Analysis Decision Tool: An Introduction This tool is designed to assist the novice and experienced researcher alike in selecting the appropriate statistical procedure for their research problem or question.