jamovi

Install jamovi in Windows – Easy 8 steps

Learn how to install jamovi ubuntu, windows, mac with easy steps and start working on the statistical analyses.

Step 1: Google with keyword “jamovi download”. Use this jamovi website to download.

jamovi download

Step 2: Click on the jamovi download link

Click on jamovi download link

Step 3: Inside the website, you can choose to install for Windows, Mac, Ubuntu or Linux. It is always wise to choose a solid or stable version.

install jamovi ubuntu / install jamovi windows / install jamovi mac

Step 4: Click on download. In Chrome, you can check the download status in the footer. Once the download is complete, click on the open

Click on jamovi exe file to open

Step 5: Click on Install button inside the jamovi setup

Click install

Step 6: Wait till the installation process is complete

The installation process of jamovi

Step 7: You have successfully installed jamovi in your system

Install jamovi
jamovi installation complete

Step 8: Now you can run the jamovi in your system by opening the jamovi app

jamovi in windows

You can also read about installation of R commander. Also check R Programming Course from Ampersand Academy.

Ganesh Kumar R

I'm a serial entrepreneur, ardent researcher and a passionate mentor who wants to offer sustainable and cost-effective solutions to complex problems. I find problems across industries, and I find solutions that solve them. To understand better, it begins with a detailed discussion. On our way, we will see an apt solution. If not, we will still keep going until we narrow it down to a good solution. I'm tactical with data-driven decisions and have deep knowledge working with various data analytical tools. Successfully trained 1000s of students in data analytics and happily doing it still. I have successfully bootstrapped companies, including Mahadhi Healthcare, Mahadhi Technologies, Ampersand Academy, Asterisk Institute, Zynba Pte Ltd, and Phi-Psi Laboratories. Specialities: Structural Modelling, Insilico Modelling, Data Science, Data Analytics, Data Presentation, Research and Development.

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