- Видео 129
- Просмотров 124 059
Maurice Ling
Добавлен 17 ноя 2007
Topic 7 - Apply randomization methods to appropriate scenarios
Topic 7 - Apply randomization methods to appropriate scenarios
Просмотров: 50
Видео
Topic 6 - Perform the goodness of fit test to appropriate scenarios
Просмотров 35Год назад
Topic 6 - Perform the goodness of fit test to appropriate scenarios
Topic 5 - Apply the appropriate nonparametric tests on non normally distributed data sets
Просмотров 225Год назад
Topic 5 - Apply the appropriate nonparametric tests on non normally distributed data sets
![[Statistics with R] 15 - N-Way ANOVA for M-Sample Means](http://i.ytimg.com/vi/ZOzkzeUv3Y0/mqdefault.jpg)
[Statistics with R] 15 - N-Way ANOVA for M-Sample Means
Просмотров 112Год назад
We look at 3-way ANOVA here. With this, we can extend the same method to anything more than 2-factors to 3 or more factors. Collectively, this is known as N-way ANOVA.
![[Statistics with R] 14 - 2-Way ANOVA for N-Sample Means](http://i.ytimg.com/vi/YTIEoBtZ8Qs/mqdefault.jpg)
[Statistics with R] 14 - 2-Way ANOVA for N-Sample Means
Просмотров 401Год назад
We will show you both additive and multiplicative models of 2-way ANOVA.
![[Statistics with R] 13 - 1-Way ANOVA for N-Sample Means](http://i.ytimg.com/vi/S-3wPyb2rdM/mqdefault.jpg)
[Statistics with R] 13 - 1-Way ANOVA for N-Sample Means
Просмотров 386Год назад
We are going to use 1-way ANOVA to compare means of more than 2 samples, then using TukeyHSD (Tukey Honest Significant Differences) as an alternative to pairwise t-tests to identify which sample(s) are significantly different from the rest.
![[Statistics with R] 12 - Multiple Linear Regression](http://i.ytimg.com/vi/YPbdMWst_eo/mqdefault.jpg)
[Statistics with R] 12 - Multiple Linear Regression
Просмотров 481Год назад
[Statistics with R] 12 - Multiple Linear Regression
![[Statistics with R] 11 - Simple Linear Regression](http://i.ytimg.com/vi/1HmvcOd7ojw/mqdefault.jpg)
[Statistics with R] 11 - Simple Linear Regression
Просмотров 512Год назад
[Statistics with R] 11 - Simple Linear Regression
Topic 4 - Apply the appropriate parametric tests on normally distributed data sets
Просмотров 38Год назад
Topic 4 - Apply the appropriate parametric tests on normally distributed data sets
Topic 3 - Solve problems using linear regression method
Просмотров 101Год назад
Outline of topic: 1. Describe the scenarios applicable to applied science that are suitable to apply linear regression 2. Compute the parametric and nonparametric linear correlation coefficient for any given set of data 3. Describe the relationship between the pair of data from the results 4. Present experimental data graphically 5. Other regression methods
Topic 2 - Determine whether a given data set is normally distributed
Просмотров 65Год назад
Outline of topics: 1. Compare between normally distributed data and non-normally distributed data 2. Construct the null and alternative hypotheses for a given scenario 3. Outline the steps involved in hypothesis testing 4. Perform normality tests on a given data set
Topic 1 - Present the distribution of a given set of data in various ways
Просмотров 101Год назад
Outline of this topic: 1. State the relationship between population, sample, statistics, and probability 2. Describe the distribution of a given set of data by computing its mean, mode and median 3. Calculate the range, inter-quartile range, standard deviation, and standard error of a given set of data 4. State the Central Limit Theorem 5. Predict the sample means and data values of the distrib...
[Statistics with R] 10 - Subsetting Data
Просмотров 502 года назад
Quite often in R, we need to extract or filter a dataset based in certain value(s) in one or more columns. We can achieve this by subsetting. In this video, I will explain how subsetting can be done.
[Statistics with R] 9 - Wilcoxon Signed-Rank Test
Просмотров 2412 года назад
In this video, we look at Wilcoxon Signed-Rank Test, which is the non-parametric equivalent of paired t-test.
[Statistics with R] 8 - Mann Whitney U Test
Просмотров 3982 года назад
2-samples t-tests (both equal and unequal variances) are parametric tests, which assumes that the data is normally distributed. What happens if the data is not normally distributed? We will have to use the non-parametric equivalent of 2-samples t-test, which is Mann Whitney U Test. In this video, we will look at Mann Whitney U Test, also known as Mann Whitney Wilcoxon Test or Wilcoxon Rank-Sum ...
[Statistics with R] 7 - t-tests for 2-Sample Means
Просмотров 4052 года назад
[Statistics with R] 7 - t-tests for 2-Sample Means
[Statistics with R] 6 - Fligner-Killeen Test for Homogeneity of Variances
Просмотров 1 тыс.2 года назад
[Statistics with R] 6 - Fligner-Killeen Test for Homogeneity of Variances
[Statistics with R] 5 - Shapiro-Wilk Test for Normality
Просмотров 5 тыс.2 года назад
[Statistics with R] 5 - Shapiro-Wilk Test for Normality
[Statistics with R] 4 - Descriptive Statistics
Просмотров 4352 года назад
[Statistics with R] 4 - Descriptive Statistics
[Statistics with R] 3 - Adding Computed Columns
Просмотров 4812 года назад
[Statistics with R] 3 - Adding Computed Columns
[Statistics with R] 2 - Reading Excel Spreadsheet into R
Просмотров 4412 года назад
[Statistics with R] 2 - Reading Excel Spreadsheet into R
[Statistics with R] 1 - Introducing the Dataset
Просмотров 4922 года назад
[Statistics with R] 1 - Introducing the Dataset
Biological Data Analysis (Tutorial 4): Probability Distribution
Просмотров 342 года назад
Biological Data Analysis (Tutorial 4): Probability Distribution
Biological Data Analysis (Tutorial 5): 1-Sample Hypothesis Testing, 4th Edition
Просмотров 342 года назад
Biological Data Analysis (Tutorial 5): 1-Sample Hypothesis Testing, 4th Edition
Biological Data Analysis (Tutorial 3): Basic Probability Theories, Relative Risk and Odds Ratio
Просмотров 182 года назад
Biological Data Analysis (Tutorial 3): Basic Probability Theories, Relative Risk and Odds Ratio
Biological Data Analysis (Tutorial 7): Confidence Intervals, 3rd Edition
Просмотров 222 года назад
Biological Data Analysis (Tutorial 7): Confidence Intervals, 3rd Edition
Biological Data Analysis (Tutorial 6): 2-Samples Hypothesis Testing, 4th Edition
Просмотров 82 года назад
Biological Data Analysis (Tutorial 6): 2-Samples Hypothesis Testing, 4th Edition
Biological Data Analysis (Tutorial 8): ANOVA, 2nd Edition
Просмотров 382 года назад
Biological Data Analysis (Tutorial 8): ANOVA, 2nd Edition
Great 👍
You are the GOAT thanks a lot
thank you
Thanks for your awesome video. Of all python video I had watched, yours was easier to comprehend. Mind if you continue the series with included video on loop and iteneration
Thanks for your comments... I'll continue...
V Good. thank you.
thank you
Very useful
thank you
can you share the excel
No, sorry
Excellent explanation!
Thank you
what is the alternative test for GWAS summery statistics data?
I didn’t mean to bother! It is just i saw your video very informative and I thought you would be knowledgeable and helpful!
thanks maurice
Thank you so much for this. Life saver
when I download the file into the reference extractor website, the number of references stays at 0. This latter doesn't recognize the bibliography introduced in Word. Please tell me how to solve the issue?
Make sure that all the references in the file that you have gotten, were inserted using Zotero
You saved my life. Thank you!
My pleasure
Thanks!
Thank you so much. It was helpful. 😊
Step 1: Null: avg mean = 100g, Alt: avg mean not equals to 100g... Step 2: alpha = 0.05... Step 3: Find test to use which is t-Test: Two-Sample Assuming Unequal Variances... Step 4: Perform test... Step 5: Accept or reject null... Step 6: Interpret results... Can you confirm if my steps are correct for one sample t test using excel? And is this possible to do in R?
1. Your steps are correct. 2. Yes, you can do it in R with the following command t.test(data, mu = 100, alternative = "two.sided"). This will help you - www.sthda.com/english/wiki/one-sample-t-test-in-r
@@mauriceling Thank you
Can't u use the regression from 'data pack'?
You can but that caters to maximum of 16 independent variables
thank you thank you thank you so much
Enjoy your work!
thanks
thx
Thank you so much for this video! I was struggling so hard with generating references. I did't understand why it didn't work haha
Also the F critical is < F stats I think we reject the null hypothesis of equal variances ? Put the P values = 0,09 > O.05 we should fail to reject the null hypothesis of equal variances? It is very confusing to me can you help?
Hello sir, I am confuse... when you use the " the pairing t-test" the response are different we are talking about the same individuals responding to different subjects? I think it is an independent sample?
HOW CA I WE EXTRACT NON EMBEDED REFERENCES OF WORD
nice
Nice then never subscribe to my channel
Great educational video
Thank you for this video, very clear explanation.
Thank you
Can anyone please tell how to do a t-test when you have 50 rows and 50 columns in excel spreadsheet?
Shouldn't you be using ANOVA then?
Thank you so much! Helped me with my biostatistics and epidemiology
Nice topic. Keep it up.
thank you
@10:22 wait, how do we conclude that the two samples *may* actaully have the same variances if the chances for null to be true (equal average marks for english and chinese) have one 0.09% chance? please enlighten me.
@9:00 nice
Thank you for this video!
my pleasure
Hi, Maurice, i like your video very much, however, i tried to do the same thing for my stock prices data analysis for my master thesis, i got E in my results, thus, i cannot use the data analysis function, can you help? Thank you!
To get "E" in your results is fine.
@@mauriceling what does that mean? How can I interpret this e? And I can’t use the data analysis function when I have this e in my result.
@@linaqin7463 (1) data is what you put INTO an analysis tool whereas result is what you get FROM an analysis tool. (2) As for "E", read this - support.microsoft.com/en-us/office/display-numbers-in-scientific-exponential-notation-f85a96c0-18a1-4249-81c3-e934cd2aae25
This video is spot on, very clear and simple to understand. Helped me very much! Thank you
this video is a lifesaver :)
thank you for your kind words
Thanks for sharing
Thanks for sharing
This is very helpful
thanks
@@mauriceling welcome
Thank you for this video. It was a great help
hi, how do we compute the DF in two sample t-test assuming unequal variance
In Excel, DFs for two sample t-test assuming unequal variances or assuming equal variances are the same; that is, df = n1 + n2 - 2
@@mauriceling df = 10+10-2 = 18. How did we get the df of 15?
@@marsch000 No idea, ask Excel since df is give by Excel and the number of observations are correct; but good point.
Thank you! This helped with my epidemiology stats course
wow amazing content keep it up!
thank you
Odds ratio = (a/c)/(b/d) I think ???
Thank you for pointing out the error
AMAZING
BRILLIANT
Thank you
0:17 sweet-girls18.com
hi sir... maybe u can do a video to demonstrate a single test
I did mention in ruclips.net/video/Oz_OtfbveTk/видео.html
Thank you for the upload! Will definitely try this now!
hope this helps