- Видео 34
- Просмотров 219 378
Prof. Patrick Meyer
Добавлен 26 фев 2015
A channel dedicated to teaching statistics and psychometrics. Extended videos highlight important concepts in statistics and measurement. Shorter videos explain how conduct various computations.
How To: Normal Distribution Calculations
Shows how to find probabilities and quantiles from a standard normal CDF table.
Просмотров: 205
Видео
How To: One-way ANOVA
Просмотров 5487 лет назад
A demonstration of how to conduct one-way ANOVA by hand
One-way ANOVA
Просмотров 5777 лет назад
This video is about one-way ANOVA, teh F-test, and the F-distribution.
Using R for a Dependent Samples t-test
Просмотров 8997 лет назад
An explanation of using R for conducting a dependent samples t-test. It describes the function an output.
Using R for an Independent Samples t-test
Просмотров 4,9 тыс.7 лет назад
This video explains how to use R for conducting an independent samples t-test. I describes the function and how to interpret the output.
Using R for a One-sample t-test
Просмотров 1,9 тыс.7 лет назад
Explains how to use R for the one-sample t-test. It includes an explanation of the function and interpretation of the output.
Independent Samples t-test
Просмотров 6107 лет назад
A description of the independent sample t-test and its assumptions, confidence interval, and effect size.
One-sample t-test
Просмотров 5837 лет назад
The one sample t-test, assumptions, effect size, and confidence interval
Confidence Intervals
Просмотров 4237 лет назад
A description of confidence intervals, their usefulness, and how to properly interpret them.
Sampling Distributions
Просмотров 5697 лет назад
An introduction to the sampling distribution of the mean.
How To: The Normal Distribution
Просмотров 4147 лет назад
Examples of computing probabilities, percentiles, and percentile ranks from for a normal distribution.
Introduction to Probability
Просмотров 5657 лет назад
This video defines probability and discusses several examples of computing probabilities. It also covers the addition rule and the multiplication rule.
How To: standard Error of the Estimate
Просмотров 16 тыс.7 лет назад
How To: standard Error of the Estimate
How To: Chi-Square Goodness of Fit Test
Просмотров 1,6 тыс.7 лет назад
How To: Chi-Square Goodness of Fit Test
Downloading and Installing R and R Studio
Просмотров 3878 лет назад
Downloading and Installing R and R Studio
Percentile Ranks and Percentile Points
Просмотров 20 тыс.9 лет назад
Percentile Ranks and Percentile Points
How To: Chi-Square Test of Independence
Просмотров 6569 лет назад
How To: Chi-Square Test of Independence
How To: Correlation and Regression Using Z-scores
Просмотров 15 тыс.9 лет назад
How To: Correlation and Regression Using Z-scores
Thanks 🎉
At 19:00 minutes, did he mean we typically put the predictor variable on the x-axis of the plot (not y-axis)?
Great video
You are a good teacher for building fundamentals in Stats. Thank @Prof Meyer.
Good.
IT'S OBVIOUS, I STUDIED SO HARD AND WORKED SO HARD. MY STUDIES IS PROOF, I LOVE TITA BETTINA BECAUSE SHE IS A NICE PERSON 🙏 I'M HONEST ❤️ TIME: 5:26PM
I READ EXPLORATORY DATA ANALYSIS BY FREDERICK HARTWIG AND BRIAN E. DEARING. STUDIOUS PEOPLE ARE SINCERE. I STUDIED AND WORKED SO HARD FROM THE BEGINNING ♥️ STUDIOUS PEOPLE ARE SINCERE. IT'S OBVIOUS, I'M CONCERNED ABOUT TITA BETTINA ❤️ STUDIOUS PEOPLE ARE SINCERE. TIME: 5:25PM
this video was simple and perfect
What would you classify the number of cars as?
Great explanation, thanks for sharing your knowledge!
Data formate is important ...so always include that.....
Great explanation, thank you very much! Everyone in Data Science should have an introduction like this. And the robotic voice used in the video sounds very realisitc, wow!
Thank you so much for the explanation.
Hi Sir, can I get the link for this dataset?
very straightforward, this is very good indeed
Thank you Professor. Your content helped me to better understand what EDA used for.
OUTSTANDING EXPLANATION !!!
love the content. id rather a pdf link in the description to read myself than listen to this monotone voice for almost 20 mins though....
Nice explanation Sir. Can I make a live project python with exploratory data analysis with libraries numpy, pandas, matplotlib, seaborn without front end ( UI) languages like HTML, CSS and JavaScript? Waiting for your reply.
Sure buddy...u can build it If u really want to be Data Scientist/Data analyst you have to showcase your skills.. you have to showcase your unique projects on your Resume Thats why now we have 5 Real-world projects for you.. Follow this roadmap.. Build Projects. 🔥 Gain skills🔥 Be Data scientist/Data Analyst💯 Now we have 5 real world projects of 5 different domains..🔥 1.Text Data Analysis 2.Time Series Data analysis 3.Spatial Data analysis 4.Sales Data analysis 5.IPL data analysis Limited offer period.. www.udemy.com/course/data-analytics-projects-python/?couponCode=SPECIAL_360
Isn't it that the Standardized Canonical Discriminant Function Coefficients in the discriminant analysis are z score, hence, can you compute correlation coefficients from them? thanks....
Super helpful
I have to say that it was a very good explanation in terms of technical terms. It feels great that to know that people like you spend their time to educate people on this topic.I have also made a vidoe sharing knowledge on te topic of exploratory data analysis. You can check it out here ruclips.net/video/IKq-86dXRVk/видео.html
Hey everyone I highly recommend this kaggle notebook for EDA on auto-mpg dataset. Seaborn is heavily used throughout the notebook, so it is also good to go notebook for those who are looking for EDA using seaborn. Also it has written interpretation of all plots. It's easy to understand, interpret and covered wide range of plots for both categorical and numerical attributes. www.kaggle.com/gauravsharma99/eda-on-mpg-data
Great Job!
awesome video. Can you please share the slide with us.
Hello Buddy.. If u really want to be Data Scientist/Data analyst you have to showcase your skills.. you have to showcase your unique projects on your Resume Thats why now we have 5 Real-world projects for you.. Follow this roadmap.. Build Projects. 🔥 Gain skills🔥 Be Data scientist/Data Analyst💯 Now we have 5 real world projects of 5 different domains..🔥 1.Text Data Analysis 2.Time Series Data analysis 3.Spatial Data analysis 4.Sales Data analysis 5.IPL data analysis Limited offer period.. www.udemy.com/course/data-analytics-projects-python/?couponCode=SPECIAL_360
Great Explanation, as a beginner i understood what he taught. but if he exceeds more than these many concepts in this single video i could feel even more overwhelmed LOL that may be i cant handle XD
hi is there a written format of this video? please share it with me
Hello Buddy.. If u really want to be Data Scientist/Data analyst you have to showcase your skills.. you have to showcase your unique projects on your Resume Thats why now we have 5 Real-world projects for you.. Follow this roadmap.. Build Projects. 🔥 Gain skills🔥 Be Data scientist/Data Analyst💯 Now we have 5 real world projects of 5 different domains..🔥 1.Text Data Analysis 2.Time Series Data analysis 3.Spatial Data analysis 4.Sales Data analysis 5.IPL data analysis Limited offer period.. www.udemy.com/course/data-analytics-projects-python/?couponCode=SPECIAL_360
Great video but i think at 17:25 the IQR should be 3? Correct me if I'm wrong.
Great video but IQR at 17:25 should be 3.
Wow! Instant sub for such a good explanation! Thank you so much 😀
At 4:57 , I guess you mean to say Interval scale
Best ever video on RUclips!!! I covered almost 1/3rd of my course by watching this. This is a must watch video. I request @youtube to give award to this professor, who helped thousands of students like me. Thanks in advance.
Thank u sir
Soothing voice and amazing clarity in explanations
I can't agree more. this is the simplest one and brief explanation. Many thanks Prof
why did you consider n-2 dof ? Is there any rationale behind this >
By far, the simplest explanation and easiest to understand, of all the courses and videos I've seen on this topic. Thank you for the video.
Hello Buddy.. If u really want to be Data Scientist/Data analyst you have to showcase your skills.. you have to showcase your unique projects on your Resume Thats why now we have 5 Real-world projects for you.. Follow this roadmap.. Build Projects. 🔥 Gain skills🔥 Be Data scientist/Data Analyst💯 Now we have 5 real world projects of 5 different domains..🔥 1.Text Data Analysis 2.Time Series Data analysis 3.Spatial Data analysis 4.Sales Data analysis 5.IPL data analysis Limited offer period.. www.udemy.com/course/data-analytics-projects-python/?couponCode=SPECIAL_360
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Thanks! Sir
nice
nice explanation sir...thank you
Hello Buddy.. If u really want to be Data Scientist/Data analyst you have to showcase your skills.. you have to showcase your unique projects on your Resume Thats why now we have 5 Real-world projects for you.. Follow this roadmap.. Build Projects. 🔥 Gain skills🔥 Be Data scientist/Data Analyst💯 Now we have 5 real world projects of 5 different domains..🔥 1.Text Data Analysis 2.Time Series Data analysis 3.Spatial Data analysis 4.Sales Data analysis 5.IPL data analysis Limited offer period.. www.udemy.com/course/data-analytics-projects-python/?couponCode=SPECIAL_360
good explanation
Thanks!
Comprehensive. Informative video.
very informative. thanks
very nice lecture slide and presentation
Hello Buddy.. If u really want to be Data Scientist/Data analyst you have to showcase your skills.. you have to showcase your unique projects on your Resume Thats why now we have 5 Real-world projects for you.. Follow this roadmap.. Build Projects. 🔥 Gain skills🔥 Be Data scientist/Data Analyst💯 Now we have 5 real world projects of 5 different domains..🔥 1.Text Data Analysis 2.Time Series Data analysis 3.Spatial Data analysis 4.Sales Data analysis 5.IPL data analysis Limited offer period.. www.udemy.com/course/data-analytics-projects-python/?couponCode=SPECIAL_360
Thx
Hello Buddy.. If u really want to be Data Scientist/Data analyst you have to showcase your skills.. you have to showcase your unique projects on your Resume Thats why now we have 5 Real-world projects for you.. Follow this roadmap.. Build Projects. 🔥 Gain skills🔥 Be Data scientist/Data Analyst💯 Now we have 5 real world projects of 5 different domains..🔥 1.Text Data Analysis 2.Time Series Data analysis 3.Spatial Data analysis 4.Sales Data analysis 5.IPL data analysis Limited offer period.. www.udemy.com/course/data-analytics-projects-python/?couponCode=SPECIAL_360
very good presentation sir, thanks alot ....