How to test Normality using SPSS (hindi)

In this video, we'll walk through the step-by-step process of testing for normality using SPSS. We'll discuss various tests available in SPSS for normality testing, such as Shapiro-Wilk and Kolmogorov-Smirnov. Additionally, we'll explain the results of this process and understand the normality of the data. So, watch this video soon and learn how to test for normality using SPSS!
In this comprehensive tutorial, we delve into the intricacies of testing for normality using SPSS. Beginning with an overview of the importance of assessing normality in data analysis, we then demonstrate the step-by-step procedure for conducting normality tests in SPSS.
You'll learn how to navigate SPSS menus to access various normality tests, including the Shapiro-Wilk and Kolmogorov-Smirnov tests. We'll guide you through the process of interpreting the output generated by these tests, discussing key statistics and significance levels.
Furthermore, we'll provide insights into common challenges and pitfalls encountered when interpreting normality tests results, empowering you with the knowledge to make informed decisions about the distributional characteristics of your data.
Whether you're a beginner or an experienced SPSS user, this video offers valuable insights and practical guidance for effectively assessing normality in your data. Don't miss out on this opportunity to enhance your statistical analysis skills with SPSS!

[@manishmishra8468]

please unhide or post your next video. your video are very helpful for us . thanks of lot dr sahab

[@Drkiransati6087]

Hello Ma'am your video are very helpful and Your way of explaining is very good..

[@MetaEducationByShaliniMam]

Thanks a lot 😇🙏

[@deepmalagaur6790]

Good morning ma'am your videos are very helpful for PhD and give us very good guidance I will always be grateful to you... thank you 🙏

[@MetaEducationByShaliniMam]

Thanks dear 🙏😇

[@tulsisingh7036]

Thanku ma'am

[@MsSaddal]

Mam how to check normality on univariate and multivariate data?