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XLSTAT is user-friendly, comprehensive, cost-effective, and performance-based statistical software that will be working as an add-on to Excel. There are around 200 features available in this software. A few of the features include data visualization, statistical modeling, data mining, forecasting methods, machine learning, survival analysis, method comparison, etc.
This is the Microsoft Excel statistical add-on that was developed in 1993 to improve the analytical capabilities of Excel. This software will be depending on Excel to input the data and showcase the results and the computations are carried out with the software components. The interface like that of Excel available with XLSTAT makes it very user-friendly to use and make it the most effective statistical and multivariate data analysis. The computational quality that is offered is the same as the one that is offered by the classical scientific statistical analysis software. The toolbar available with this software will let you gain quick access to different functionalities.
XLSTAT will process all the data into the CSV and let you prepare the data just like you do use Excel. It is a tedious task for people to invest their time in completing data science tasks. However, this software has all the features and machine learning algorithms, which lets you edit simple spreadsheets.
The interface of this software has been rich yet simple. The output formats are easy to interpret and can be used as per your requirements. This offers various functions that will elevate the analytical capabilities of Excel, thus making it the best tool for data analysis and statistical requirements. This software can be easily integrated with Excel and is available for desktops and MAC. This helps you to perform data testing and provide the best solutions to psychologists, medical practitioners, business tycoons, and marketers to fulfill their statistical analysis needs.
This XLSTAT is compatible with the Windows operating system and all versions of Excel from 2003 to 106. This is easy to install and use by the students. This is the widely used statistical program in the market, having thousands of users. Businesses, universities, and large to small companies are using this software. The dialog box approach of this software is user-friendly and simple to use. The basic functionality that is not available in Excel is offered by this software, especially the non-parametric tests. Scientists can use this software to distribute their data and perform tests. This allows you to carry out a 2-sample comparison of variance tests, non-parametric tests, and simple and multiple linear regressions. The software package offered will cater to the needs of every business. The main purpose of using this software is to carry out data analysis accurately. This can be easily integrated with Microsoft Excel. The 200+ features available in this software make it easy to carry out your data analysis job with ease. In addition to analyzing the data, it also helps you to do data mining, data testing, data modeling, and data visualization.
XLSTAT will give clear insights into the information related to the products of consumers. The marketing part of XLSTAT helps marketers to take the right marketing decisions. In addition, it helps marketers learn about the market, and understand the market trends and customer behavior with ease to make an informed decision.
This software will meet the needs of every business. The XLSTAT forecast will let the users to predict the market. The bio med XLSTAT will help both the bio and medical personnel to make timely decisions by taking both their data and research analysis into consideration. XLSTAT ecology will help you to collect ecology data and convert this information into science-related data. The XLSTAT PSY will let psychologists analyze the behavior of people quickly and effortlessly. More importantly, XLSTAT quality will allow users to boost the quality of a product with the help of various risk analysis features available in this software.
Students who want to have a great career should have knowledge of this software. There are many universities that are helping students to gain good exposure to this software by giving them assignments to complete.
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Principal Component Analysis | Data sampling |
Distribution sampling | Coding by ranks |
Descriptive statistics | Histograms |
Covariance and correlation analysis | t-tests and z-tests |
2-sample comparison of variance tests | 2-sample non-parametric tests (Wilcoxon’s test, sign test, Mann-Whitney’s test) |
Simple and multiple linear regression | 1-way and 2-way ANOVA |
Time series smoothing including exponential and moving average | Fourier transforms |