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Easy Statistics Now
Добавлен 21 сен 2014
Видео
Simple Linear and Multiple Regression in SPSS - In Depth
Просмотров 99 тыс.9 лет назад
Simple Linear and Multiple Regression in SPSS - In Depth
Chi Square Test of Independence in SPSS - Quick Review
Просмотров 7349 лет назад
Chi Square Test of Independence in SPSS - Quick Review
Chi Square Test of Independence in SPSS - In Depth
Просмотров 89 тыс.9 лет назад
Chi Square Test of Independence in SPSS - In Depth
Chi Square Goodness of Fit in SPSS - In Depth
Просмотров 13 тыс.9 лет назад
Chi Square Goodness of Fit in SPSS - In Depth
Chi Square Goodness of Fit in SPSS - Quick Review
Просмотров 2629 лет назад
Chi Square Goodness of Fit in SPSS - Quick Review
Two Way ANOVA in SPSS - In Depth
Просмотров 3 тыс.9 лет назад
Music - "Pamgaea" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 creativecommons.org/licenses/by/3.0/
Two Way ANOVA in SPSS - Quick Review
Просмотров 3059 лет назад
To learn how to check assumptions watch one of these videos: Quick Review: ruclips.net/video/K1syENSWrD0/видео.html In Depth: ruclips.net/video/5OCnY153vU8/видео.html Music - "Pamgaea" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 creativecommons.org/licenses/by/3.0/
One Way ANOVA in SPSS - In Depth
Просмотров 43 тыс.9 лет назад
This video will show how to run a one way ANOVA in SPSS. If you need just a quick review click on this link: ruclips.net/video/Cy1UQr7B_oY/видео.html To learn how to check assumptions watch one of these videos: Quick Review: ruclips.net/video/K1syENSWrD0/видео.html In Depth: ruclips.net/video/5OCnY153vU8/видео.html Music - "Pamgaea" Kevin MacLeod (incompetech.com) Licensed under Creative Common...
One Way ANOVA in SPSS - Quick Review
Просмотров 3129 лет назад
To learn how to check assumptions watch one of these videos: Quick Review: ruclips.net/video/K1syENSWrD0/видео.html In Depth: ruclips.net/video/5OCnY153vU8/видео.html
Assumptions for T-tests and One Way ANOVA in SPSS - In Depth
Просмотров 49 тыс.9 лет назад
This video will demonstrate how to check the assumptions for a one sample t-test, paired sample t-test, independent sample t-test, one way ANOVA, and two way ANOVA. For a quick review of Assumptions in SPSS watch this video: ruclips.net/video/K1syENSWrD0/видео.html Music - "Pamgaea" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 creativecommons.org/licenses/...
One Sample T-test in SPSS - Quick Review
Просмотров 2899 лет назад
This is video is a quick review for conducting a one sample t-test in SPSS. I only suggest watching this video if you already have experience with interpreting output, or just need a quick reminder about how to run this analysis. If you need a more detailed video please watch this video: ruclips.net/video/ik7td2_a5DA/видео.html If you need to learn how to check assumptions for this analysis wat...
Paired Sample (Dependent Sample) T-test in SPSS - Quick Review
Просмотров 1,5 тыс.9 лет назад
This is video is a quick review for conducting a paired sample t-test in SPSS. I only suggest watching this video if you already have experience with interpreting output, or just need a quick reminder about how to run this analysis. If you need a more detailed video please watch this video: ruclips.net/video/nDRI8m9Lsvw/видео.html If you need to learn how to check assumptions for this analysis ...
Independent Sample T test in SPSS - Quick Review
Просмотров 2299 лет назад
This is video is a quick review for conducting a independent samples t-test in SPSS. I only suggest watching this video if you already have experience with interpreting output, or just need a quick reminder about how to run this analysis. If you need a more detailed video please watch this video: ruclips.net/video/n8hibcUrdHM/видео.html If you need to learn how to check assumptions for this ana...
Assumptions for T-tests and One Way ANOVA in SPSS - Quick Review
Просмотров 3,3 тыс.9 лет назад
This is video is a quick review for checking assumptions for a one sample t-test, paired sample t-test, independent sample t-test, one way ANOVA, and two way ANOVA Music - "Pamgaea" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 creativecommons.org/licenses/by/3.0/
Independent Sample T test in SPSS - In Depth
Просмотров 1,8 тыс.9 лет назад
Independent Sample T test in SPSS - In Depth
One Sample T-test in SPSS - In Depth
Просмотров 1 тыс.9 лет назад
One Sample T-test in SPSS - In Depth
Great and helpful. Thanks
thnaks
this is good
Great explanation amazing! 💯
Can anyone guide me about what to do if the residuals are not normally distributed?
as the assumption of homoscedasticity is violated , what to do now?
Thanks for sharing the vedio. Am I correct to say that from the matrix scatter plots, some showing the linearity and homoscedasticity assumptions are violated? Why do you still proceed with Pearson test? Thanks in advance
Can you please let me know how to correct the autocorrelation? the Value of Durbin Watson test is coming out as .617 How to take it around 2?
how can i contact you
Great Video
Very informative video sir. If correlation coefficient is positive but regression coefficient (multiple regression analysis) of the variable comes negative what inference can be drawn from such analysis? Kindly tell.
Present Yogmath 1 second ago ruclips.net/video/3oLt6KaJ8w8/видео.html Great video! As someone who has used SPSS for data analysis, I can definitely attest to its power and usefulness. The user-friendly interface and wide range of features make it a go-to choice for researchers and analysts alike. I appreciated how the video showcased the various capabilities of SPSS, from data visualization to hypothesis testing. It's impressive to see how quickly and easily SPSS can produce meaningful insights from raw data. If you're new to SPSS or considering switching to it for your data analysis needs, this video is a great introduction. And for those who are already familiar with SPSS, it's a helpful reminder of all the amazing things this software can do. Thanks for sharing this informative video!
You have explained this so well, thank you. However if the assumptions have been violated what is done?
thankyou for being the only helpful video i could find in 2 days!
Crystal clear. Mam, I wanna know the assumptions of ANCOVA and unpaired t test are the same?
ruclips.net/video/PaYqpOc-YNI/видео.html
I could only listen for about 15 seconds, because the use of "data" as a singular word was too grating.
Thanks for sharing , May you please add the interpretation as you’re writing in Word.
Hi I have a question. Why did you not divide the alpha (5%) by 2? In my understanding you test a two-tailed hypothesis and thus, the alpha should be divided by to. The result will be significant when the p-value is lower than 0.025 Could you clarify? Thank you
Very detailed thank you. My question is that what if all assumptions are not met can we still run the Analysis.
thank you sooo much!
v gud explanation ❤💐
so what is recommended if the dependent varaiable data is not normally distributed??
what to do if the data violates these assumptions?
Great video, very easy to follow!
But how do you assess the linearity assumption?😩😭😭
Thank you! I have one question on my analysis Igot beta valuev 0.026 which is positive but sig value is 0.672 which is above 0.05 . should i accept the hypothesis ? Or what can i do?
This is perfect and I have learnt from it thank you ma. But please I would like a video on starting from scratch (data entry) that led to running the regression
Such a brilliant explanation.
Is problem if Interpreting with out hyphotesis
Go on
Go on
hi its not clear to me the last part of expected count the text says 3 how did you get that
Awesome! Just to the point. none could explain better than this.
This applies only to continuous and ordinal data?
How do you do anova when there is 9 independent variables and 1 dependent variable in the analysis?
Please Can we use or click on the chi-square test if we do crosstab for 2 ordinal variables? Thank you
Thank you madam.
This vide is transparent, crystal clear for regression analysis.
Please help me with this issue, i have run bivariate correlation and linear regression. the thing is that, correlation analysis shows positive relationship while regression unstandardized coefficients shows negative, how? is it due to multicollinearity or else....?
so helpful !! thanks a lot :)
If the p value is higher, then. .05, does this mean that the starbucks drinks differ from eachother?
This video has been a life saver! The pacing and explanation were so clear, and much easier to understand than most. Thank you so much!
what if you get .000 in the unstandardized B coefficient, but it is statistically significant?
may i know for anova test for equal variance, when we need to based on the median?
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If assumation of normality is not obtained can we do anova
Thank you so much
Thank you so much