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tcurdan123
Приєднався 14 гру 2008
Відео
How to Read Appendix E (Fischer's Z transformation values) in Statistics in Plain English
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Tim Urdan, author of Statistics in Plain English, explains how to read Appendix E of Statistics in Plain English. This appendix contains the table of Fischer's Z transformations for correlation coefficients.
How to Read Appendix G of Statistics in Plain English
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In this video Tim Urdan, author of Statistics in Plain English, explains how to read Appendix G of Statistics in Plain English. This is the table of critical w values for the Wilcoxon signed-rank test.
Wilcoxon signed-rank test calculation by hand
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In this video, Tim Urdan, author of Statistics in Plain English, demonstrates how to calculate a Wilcoxon signed-rank test by hand and determine whether the w statistic is statistically significant.
Factorial ANOVA in R
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Tim Urdan, author of Statistics in Plain English, demonstrates how to conduct a factorial ANOVA with post-hoc and simple effects tests using the R statistical software package.
Reliability analysis in R
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Tim Urdan, author of Statistics in Plain English, demonstrates how to conduct a reliability analysis (i.e., calculate a Chronbach's alpha) and interpret the results using the R statistical software package.
Factor analysis in R
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Tim Urdan, author of Statistics in Plain English, demonstrates how to conduct and interpret an exploratory factor analysis using the R statistical software package.
Repeated-measures/mixed-model ANOVA in R
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Tim Urdan, author of Statistics in Plain English, demonstrates how to conduct and interpret a repeated-measures/mixed-model ANOVA analysis using the R statistical software package.
Multiple regression in R
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Tim Urdan, author of Statistics in Plain English, demonstrates how to conduct and interpret a multiple regression using the R statistical software package.
Chi-square test of independence in R
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Tim Urdan, author of Statistics in Plain English, demonstrates how to conduct and interpret a chi-square test of independence in the R statistics software package.
Descriptive statistics and an overview of R Studio
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Tim Urdan, author of Statistics in Plain English, presents an overview of R studio and demonstrates how to get some descriptive statistics in the R software package.
Independent t test in R
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Tim Urdan, author of Statistics in Plain English, demonstrates how to conduct and interpret an independent t test and effect size (Cohen's d) in the R software package.
Oneway ANOVA in R
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Tim Urdan, author of Statistics in Plain English, demonstrates how to conduct and interpret a oneway ANOVA with post-hoc tests using the R software package.
Dependent t test in R
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Tim Urdan, author of Statistics in Plain English, demonstrates how to conduct and interpret a dependent-samples t test in the R software package.
Mann-Whitney U Test: How to Calculate by Hand
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Mann-Whitney U Test: How to Calculate by Hand
Comparing Correlation Coefficients to test for Significant Differences
Переглядів 2,2 тис.3 роки тому
Comparing Correlation Coefficients to test for Significant Differences
How to Read Appendix H of Statistics in Plain English
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How to Read Appendix H of Statistics in Plain English
Confidence Interval for Correlation Coefficient: How to Calculate and Interpret it
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Confidence Interval for Correlation Coefficient: How to Calculate and Interpret it
Cluster Analysis on SSPS: How to Conduct it and Interpret the Results
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Cluster Analysis on SSPS: How to Conduct it and Interpret the Results
How to Read Appendix A of Statistics in Plain English
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How to Read Appendix A of Statistics in Plain English
How to Read Appendix B of Statistics in Plain English
Переглядів 4,2 тис.8 років тому
How to Read Appendix B of Statistics in Plain English
Thank you so much
what do you do if you have a chisquare value less than 0.05
This was such a helpful video. Thank you so much!
What would one have to do if I have two correlation coefficients taken from the exact same sample (repeated measures). For example, I want to compare the relationship between sleep quality and optimism for two moments of measuring, thus having an r correlation for measure 1 and then giving the same subjects the exact same questionnaires at measure 2 and obtaining a second r correlation. Now I want to compare those two r's. How do I do that? Because I have dependent samples and only 2 variables. I have almost searched the whole internet and feel totally stuck... Could you maybe help me?
did you ever find an answer?
You are the best ever tutor. I have been for two hours reading and watching videoes, none of what I read or watched was as good and straigtforward as your video. Hats off
Where do I find appendix A?
In my book, Statistics in Plain English
what package did you use?
These videos accompanying your book are an absolute treasure for me. Many thanks for this amazing piece of work!
Thanks Sir!! Your channel is very helpful. May God shower his blessing upon you.
why the screen is blurry?
For anyone watching, If you dont remember the idea in the video that you're supposed to find the percentage value as a decimal (meaning divided by 100 into your calculator) on the value appendix, you'll be stuck looking for an exact value which they dont always have that corresponds to a z score, dont forget that step because then you'll keep wondering why you get it wrong.
Would never have seen that formula if it wasnt for this video. My prof uses a long and variable dense formula that does not help
Dapatkah digunakan untuk menguji reliabilitas pada soal pilihan ganda?
Thanks. But how can draw diagram from it??
Hello. Unfortunately, I am quite new to using R myself, so I do not know how to create diagrams in R. I think there is probably a script for it online, though, if you do a Google search. Sorry about that.
Thanks for the response. I have done this in a different way. There i could draw corr diagram. Your method is easy and simple. Can you tell me the reference where you learnt this? Or any reference book to refer in a paper
Thanks for the vedio. It was useful. I was wondering if you can confirm whether the procedure you are using in this vedio to test the difference of coefficients of correlation for Pearson r is valid for correlation coefficients obtained from Spesrman rho as well???
Hi. No, I do not believe this procedure is valid for the Spearman rank-order correlations. The procedure in the video is for Pearson correlation coefficients, which assumes the variables are measured on continuous scales that have normal distributions. I believe the Fischer's Z transformations are based on correlations of normally distributed variables. The Spearman rho is a nonparametric statistic.
It was very helpful thank you 😊
Hello, how we can do extract items or load on different factors? For example item "approach1" loads on both Factor1 and Factor3.
Can you visualise how to derive SE from the sample sd?
Hey this helped me a ton! Would you want to follow up the main effects with any post-hoc tests? I'm asking because I ran a three-way mixed ANOVA and need to interpret the main effects. Thanks!
newborns need to get it together
Great one there but the codes are not very clear for sight
Thank you for this!
This was filmed on a TI-84 Thanks for the help
Tq sir
Can Cronbach's alpha be calculated on a single item? Or that does not make sense?
Cronbach's alpha is a measure of how well, or how strongly, a set of items are related to each other. So, it is not possible to calculate a Cronbach's alpha for a single item.
Old video but THANK YOU! My school did not explain this besides formulas but my homework questions were on this subject.
now i get it hats of to you sir ...!
Thank you for this explanation! Very useful for my PhD project!!
This video was very helpful, thank you.
How would you know the population standard deviation, if you don't know the population?????
Thank you so much sir for your amazing book which is so, so very helpful in understanding Statistics easily. And thank you for all these video and other resources too.
Great...👏
Thank you!!
lifesaver, thanks!!
incoherent explaination
Thankyou so much for explaining this
Thank you so much for this!
THANK YOU SO MUCH!!!!!
Thank you this really helped
Waaay shorter and more effective than the video that first came up from Khan academy for my question. Thank you so much!!
how did he randomly just get to .1587? he had me tracking along then he pulled out this book and had the answer. how do you find the area above the z
Thanks for the explanation. However, at the start of the video, you show the formula for std deviation as [Σ(X - X^2)^2]/(n-1), and not t [Σ(X - Xbar)^2]/( n-1) . Kindly explain.
Ack! That was just a careless mistake on my part. My apologies, and thanks for pointing it out. The formula should be, as you noted, [Σ(X - Xbar)^2]/( n-1)
@@timurdan2772 Thanks for clarification. Much appreciated. Btw, love your simple, straightforward explanations. 😍
Thanks
Thank you so much for this short and sweet video. VERY helpful indeed,
Hi sir, I am not a statistic student, i m Sociologist but there in my book a question is given, please solve and send me, i will be thankful to you. my Email: shayansps@gmail.com QUESTION . The grades in various subjects of a student are given below. Test at 5% level of significance that there is a significant difference in grades Mathematics 72 80 83 75 Statistics 81 74 77 88 English 82 90 87 80 Research 74 71 77 70
Thank you ♥️
Sir, please help me in solving this... for the following data, calculate the standard error for mean when the sample is drawn under without replacement scheme. number of motor cycle accidents is 4.1 in a random examination of 8 cases out of 2500 with standard deviation being 0.9
Thank you, sir! Clear explanation and very helpful!
So it’s SEM the same as SE?
Different people use different terminology and abbreviations in statistics, so there may be some authors who call the standard error of the mean SEM. But most of the time, in my experience, SEM stands for Structural Equation Modeling, which is a regression-based analysis.
thanks Tony Montana