Statistical tests for data analysis in research
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- Опубликовано: 6 июл 2024
- In this video, I have explained different types of statistical techniques, various assumptions of parametric tests and finally which type of tests that one need to apply for specific application. I have explained in detail the application, assumptions, data and variables types of popular tests including Pearson correlation, spearman rank correlation, one sample t test, Independent sample t test, paired sample t test, one-way ANOVA, two-way ANOVA and chi square test.
To know more about correlation with live data visit the below link:
• Correlation with Live ...
Your likes and shares would motivate me to release similar types of video regularly….!
In fact, for the first time I am understanding this topic, you are a legend
Really you are the super start. Thank you
Great Video sir. All concepts explained clearly
Dear Researchers
Thank you very much for your overwhelming support. I have recently launched my new personal website dedicated for providing research related hands on training and support. I welcome you all to visit my new website www.talksonresearch.co.in/
Regards
Dr. Ameer Hussain
Accidentally came to ur video and way of teaching is awesome , simple and clarity in it 👍👍 keep doing 👍
Your way of explanation is crystal clear and easy to understand. Most complicated topics are explained in an very easiest way with examples.
Thank you so much sir and expecting more quality videos in future on research methodology
It is very clearly explained. Thanks a lot sir 🙏🙏
I am really surprised by his knowledge and way of explanation... really awesome and expecting more videos on statistics..
Very Good explanation sir... Thanks sir.... Keep rocking sir...
Useful video for those doing project
extremely good sir....need a practical session for each parametric test....thanking you sir...
I love this video! It is very well explained! ☺
Clear and helpfull simply super
Thank you sir for this video, it really helped me understand all the tests..
Very well explained sir.
Great content sir.. 😊😊👍👍
very informative sir thank you so much
Very helpful 👍 Thank you
Very helpful sir😊🙏🏻
thanx you sir.....very clear explanation
Super Session Sir❤️❤️❤️
Awesome 👍
Thank you sir, very helpful
thanks for the work, uganda
Super lecture
Very useful
for example if I have 6 variables for machine learning model to predict target value what kind of statistical tool should i need to use to know effective variable or which variable has big influence on traget value?
Ur explanation is so nice, why u r not putting some more vedios
Thank you sir❤😊
Nice sir
Thank you
Thank you sir
Dr Ameer good lecture
Thank you so mam.Your appreciation means a lot to me.
Your video is very helpful, sir do you provide any paid classes for research? Like selection of tools for date analysis, ...
Thank you so much for you session. Learned much more than i did in studying a one year module
example on semantic differential scaling
Very nice sir...please make some vedios on spss also.it will turn to great help
Sure i will, it is in my list.
You will provide any online consultation?
Regarding my research
Sir, which analysis tools want to use there has 3 independent variables and 4 dependent variables. Kindly give your suggestions
We can software tools like AMOS or Smart PLS
Sir what is Normal data ...and Non normal data
Can we use percentage data for one way annova
If the data is normal, Yes we can.
25 male students are chosen randomly from a class. Their performance score is measures at the beginning and
Paired sample t test or its equivalent non parametric test wilcoxon signed rank test
Can you share the ppt sir
Comparative study of 2 drugs in 100 people population. 2 groups -50 ppl in each group given the drug .what kind of statistical study should be done?
We can use independent sample t test, provided it fulfills the basic assumptions of parametric test.
Data is normal or not how to test
We can test the normality of data by analysing the results of histogram, skewness, kurtosis, shapiros wilk test etc
Thank you