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OpenIntroOrg
Добавлен 20 май 2011
openintro.org develops statistics resources that save students and academic departments money. Our specialty is in course materials, including videos, and we also provide an Academic Jobs in Statistics board. All services and resources are free. Join us, and subscribe!
OpenIntro Statistics, Companion Notebook (Intro for Students)
This resource was constructed by Adam Gilbert.
OpenIntro Statistics, notebook link:
www.openintro.org/go?id=posit-cloud-os-companion-notebook&referrer=youtube-52QwojLIjaU
OpenIntro Statistics textbook (PDF is free) along with many additional resources, including labs, videos, and slides:
www.openintro.org/book/os
The Introduction to Modern Statistics textbook (PDF is free) and its associated resources may be found at:
www.openintro.org/book/IMS
If you are using this or other OpenIntro resources as part of a course that uses a non-OpenIntro textbook, consider sharing these resources with your teacher. Teachers may request a free desk copy of any of our textbooks from our website (www.openintro.or...
OpenIntro Statistics, notebook link:
www.openintro.org/go?id=posit-cloud-os-companion-notebook&referrer=youtube-52QwojLIjaU
OpenIntro Statistics textbook (PDF is free) along with many additional resources, including labs, videos, and slides:
www.openintro.org/book/os
The Introduction to Modern Statistics textbook (PDF is free) and its associated resources may be found at:
www.openintro.org/book/IMS
If you are using this or other OpenIntro resources as part of a course that uses a non-OpenIntro textbook, consider sharing these resources with your teacher. Teachers may request a free desk copy of any of our textbooks from our website (www.openintro.or...
Просмотров: 1 196
Видео
How to Install R and RStudio on Windows
Просмотров 8 тыс.2 года назад
This video is by Nick Paterno. Screencast showing how to install R and RStudio on Windows. Links where the relevant softwares may be downloaded: cran.r-project.org www.rstudio.com If you are on an Apple computer (i.e. a Mac), the following video can be used instead and covers the installation for both the Intel or M1 processor computer variants: ruclips.net/video/AEebOXiMyyI/видео.html For more...
How to Install R and RStudio on Mac OS X (covers both Intel and M1 processors)
Просмотров 45 тыс.2 года назад
This video is by Nick Paterno. Screencast showing how to install R and RStudio on Mac OS X, including covering which versions to download for an Intel Mac and an M1 Mac. Links where the relevant softwares may be downloaded: cran.r-project.org www.rstudio.com If you are on a Windows computer, the following video can be used instead: ruclips.net/video/rHZ9MGWxU5I/видео.html For more free resource...
OS4 Section 8.2 Least Squares Regression -- Overview by an Author
Просмотров 3,3 тыс.2 года назад
This is an experimental format that's a voiceover of the content in Section 8.2 of OpenIntro Statistics (4th Edition), basically an opportunity to be less formal in discussing the content. The textbook may be downloaded as a PDF (free) or purchased in paperback ($20) at www.openintro.org/os. We want your feedback on this video, so please drop a comment on whether you liked or didn't like the vi...
Example Exercise: 7.27 (Advanced High School Statistics & OpenIntro Statistics)
Просмотров 1,3 тыс.3 года назад
Slides are available at: www.openintro.org/go?id=ahss2_7_27_exercise_video_slides&referrer=youtube Chicken farming is a multi-billion dollar industry, and any methods that increase the growth rate of young chicks can reduce consumer costs while increasing company profits, possibly by millions of dollars. An experiment was conducted to measure and compare the effectiveness of various feed supple...
Example Exercise: 6.33 (Advanced High School Statistics & OpenIntro Statistics)
Просмотров 1,3 тыс.3 года назад
Slides are available at: www.openintro.org/go?id=ahss2_6_33_exercise_video_slides&referrer=youtube A professor using an open source introductory statistics book predicts that 60% of the students will purchase a hard copy of the book, 25% will print it out from the web, and 15% will read it online. At the end of the semester he asks his students to complete a survey where they indicate what form...
Example Exercise: 6.24 (Advanced High School Statistics & OpenIntro Statistics)
Просмотров 9483 года назад
Slides are available at: www.openintro.org/go?id=ahss2_6_24_exercise_video_slides&referrer=youtube The proportion of California residents who reported insufficient rest or sleep during each of the preceding 30 days is 8.0%, while this proportion is 8.8% for Oregon residents. These data are based on simple random samples of 11,545 California and 4,691 Oregon residents. (a) Conduct a hypothesis t...
Example Exercise: 6.22 (Advanced High School Statistics & OpenIntro Statistics)
Просмотров 8633 года назад
Slides are available at: www.openintro.org/go?id=ahss2_6_22_exercise_video_slides&referrer=youtube According to a report on sleep deprivation by the Centers for Disease Control and Prevention, the proportion of California residents who reported insufficient rest or sleep during each of the preceding 30 days is 8.0%, while this proportion is 8.8% for Oregon residents. These data are based on sim...
Example Exercise: 6.43 (Advanced High School Statistics & OpenIntro Statistics)
Просмотров 6623 года назад
Slides are available at: www.openintro.org/go?id=ahss2_6_43_exercise_video_slides&referrer=youtube We are interested in estimating the proportion of students at a university who smoke. Out of a random sample of 200 students from this university, 40 students smoke. (a) Calculate a 95% confidence interval for the proportion of students at this university who smoke, and interpret this interval in ...
Intro to Confidence Intervals via Proportions
Просмотров 24 тыс.4 года назад
Please visit openintro.org for more resources, including free open-source textbooks that are used at schools around the world (low-cost paperbacks are also available!). Image credit for the image featured starting at ~0m30s Photographer: hams Nocete License: CC BY-SA Link: flic.kr/p/oy6Aem 0:00 Introduction 0:30 Concept of a Confidence Interval 0:57 Constructing a 95% Confidence Interval 2:58 C...
Foundations for Inference: Point Estimates
Просмотров 33 тыс.4 года назад
Please visit openintro.org for more resources, including free open-source textbooks that are used at schools around the world (low-cost paperbacks are also available!). Image credit for the image featured starting at 0m37s Photographer: Stephen Mellentine License: CC BY-NC-ND Link: flic.kr/p/bfVbai Image credit for the image featured starting at 1m42s and again at 11m01s Photographer: Oregon De...
Adjust YouTube Playback Speed
Просмотров 8 тыс.5 лет назад
There are also HTML5 video browser extensions that will allow you to get even more fine-tuned control of playback speed on video.
Linear Regression Example - Spouse Age 8.15 (OpenIntro Statistics / Advanced High School Statistics)
Просмотров 1,7 тыс.5 лет назад
Slides are available at drive.google.com/open?id=1wnnmIRZhUZWBnuC3V6YhRRGr1Fr_A1Iz This covers an exercise from Advanced High school Statistics (8.15 in the 2nd Edition) as well as a close variant of an exercise from OpenIntro Statistics (8.15 in the 4th Edition). The video was created by Leah Dorazio.
One-Prop Hypothesis Test -- Taste Test 6.13 (OpenIntro Statistics / Advanced High School Statistics)
Просмотров 2,9 тыс.5 лет назад
Slides for this and several other example videos: drive.google.com/open?id=1wnnmIRZhUZWBnuC3V6YhRRGr1Fr_A1Iz This covers Exercise 6.13 from Advanced High school Statistics (2nd Edition). The video was created by Catherine Ko.
Chi-Square Test Example -- Drilling off the coast of California
Просмотров 1,9 тыс.5 лет назад
Slides are available at drive.google.com/open?id=1wnnmIRZhUZWBnuC3V6YhRRGr1Fr_A1Iz This covers an exercise from Advanced High school Statistics (6.37 in the 2nd Edition) as well as from OpenIntro Statistics (6.37 in the 4th Edition). The video was created by Catherine Ko.
One-Sample t-Interval for TI-83 & TI-84
Просмотров 36 тыс.6 лет назад
One-Sample t-Interval for TI-83 & TI-84
One-Sample t-Test for TI-83 & TI-84
Просмотров 144 тыс.6 лет назад
One-Sample t-Test for TI-83 & TI-84
Inverse Normal Distribution Calculations for TI-83 & TI-84
Просмотров 66 тыс.6 лет назад
Inverse Normal Distribution Calculations for TI-83 & TI-84
Example Exercise: 7.27 (OpenIntro Statistics / Advanced High School Statistics)
Просмотров 1,8 тыс.6 лет назад
Example Exercise: 7.27 (OpenIntro Statistics / Advanced High School Statistics)
Example Exercise: 7.25 (OpenIntro Statistics / Advanced High School Statistics)
Просмотров 1,8 тыс.6 лет назад
Example Exercise: 7.25 (OpenIntro Statistics / Advanced High School Statistics)
Example Exercise: 6.47 (OpenIntro Statistics & Advanced High School Statistics)
Просмотров 2,9 тыс.6 лет назад
Example Exercise: 6.47 (OpenIntro Statistics & Advanced High School Statistics)
Example Exercise: 6.33 (OpenIntro Statistics / Advanced High School Statistics)
Просмотров 4,8 тыс.6 лет назад
Example Exercise: 6.33 (OpenIntro Statistics / Advanced High School Statistics)
Example Exercise: 6.43 (OpenIntro Statistics / Advanced High School Statistics)
Просмотров 4,9 тыс.6 лет назад
Example Exercise: 6.43 (OpenIntro Statistics / Advanced High School Statistics)
Example Exercise: 6.17 (OpenIntro Statistics & Advanced High School Statistics)
Просмотров 6 тыс.6 лет назад
Example Exercise: 6.17 (OpenIntro Statistics & Advanced High School Statistics)
Example Exercise: 7.11 (OpenIntro Statistics / Advanced High School Statistics)
Просмотров 2,7 тыс.6 лет назад
Example Exercise: 7.11 (OpenIntro Statistics / Advanced High School Statistics)
Example Exercise: 7.1 (OpenIntro Statistics / Advanced High School Statistics)
Просмотров 3,5 тыс.6 лет назад
Example Exercise: 7.1 (OpenIntro Statistics / Advanced High School Statistics)
Example Exercise: 7.17 (OpenIntro Statistics), 8.17 (Advanced High School Statistics)
Просмотров 6366 лет назад
Example Exercise: 7.17 (OpenIntro Statistics), 8.17 (Advanced High School Statistics)
Example Exercise: 8.35 (OpenIntro Statistics / Advanced High School Statistics)
Просмотров 1,9 тыс.6 лет назад
Example Exercise: 8.35 (OpenIntro Statistics / Advanced High School Statistics)
Example Exercise: 8.25 (OpenIntro Statistics / Advanced High School Statistics)
Просмотров 2,1 тыс.6 лет назад
Example Exercise: 8.25 (OpenIntro Statistics / Advanced High School Statistics)
Example Exercise: 8.23 (OpenIntro Statistics / Advanced High School Statistics)
Просмотров 2,9 тыс.6 лет назад
Example Exercise: 8.23 (OpenIntro Statistics / Advanced High School Statistics)
Very useful, thank you!
I really enjoy the more in-depth look at the sections and chapters, very helpful in trying to get a grasp on the information.
i love you so much i love you omg i love you
Another way you can turn on diagnostic is my clicking on mode on pressing the up arrow until you see the diagnostic option
what about one where they are asking for the difference being greater than a specific number. Like U1- U2 > 30? or U1 - U2 =/ 30?
Thank you so much, Now I can study R by myself ( am crying)
I hope you find the notebooks useful, @DonghyunKevinKwak!
Very Helpful
The TI 84 by default uses the pooled proportion?
Whenever I set my bounds using variables, it always defaults into a decimal. For example: if I set my lower bound to 65.5, it ends up saying my lower bound is 0.92647058, which in turn gives me the wrong probability. Do you know why this is happening?
Excellent video, thanks
Thank you! I have a probability test tomorrow and this has saved me!
Thank you I forgot
You have no idea how much this helped! Thank you so much
okay but how would i manually type this on my calculator bc my answer comes out different when i type it myself vs when i use the built in TEST feature
thank you very much!
Loves it 💗
How did you get 29.8 and 22.4 at 5:50? Did you use software
Yes, those were obtained by software. For the most part, in practice, we use software for all calculations. It's good to understand how the numbers relate to each other -- this helps debugging issues as well as understanding and explaining what software output means -- and that's why we cover the details, but in practice we rarely do such detailed calculations manually (which is also more error-prone than using software).
Appreciate the full instruction of a chapter, and other videos where you go through exercises. Keep it up! I'm surviving statistics with your help. :)
So how do you know what to make p1 and p2 or are they interchangeable
The formula in the calculator uses p1 - p2. So if you would like to look at the effect of a treatment in an experiment, it might be useful to have "p1" represent the treatment group and "p2" the control group so that the results represent the estimated effect of the treatment. Ultimately, the order is just relative and it's always a good idea to double check that the estimate sign makes sense for how you're interpreting the results. For example, at 3:15 in the video I can see that p1 = 0.899 and p2 = 0.958, and the center of the interval (-0.0814, -0.0366) is negative, so the results must be corresponding to p1 - p2 (as our point estimate of this difference is negative: 0.899 - 0.958 = -0.059), not p2 - p1 (estimated difference is positive: 0.958 - 0.899 = 0.059).
OMG!!!! Thank youuuuuu!!!!!❤
you explain things very well
Thank you so much!
THANK YOU!!!!!!!
I was confused about where to set the significance level, then I realized it's a p-value so it doesn't matter.
How can I have the template: Lab Report for OpenIntro Statistics Lab 1
You can find each lab under openintro.org/book/os, or if you are using a particular book, then under that corresponding book's page on our website. You'll also find other free resources on each book's page as well, including free PDFs of our textbooks.
@@OpenIntroOrg thank you
Rstudio is now called Posit
what about shorts
Shorts are very annoying in this regard -- it's necessary to navigate to the regular "player page" to modify playback speed using the native player options. To do this, if there's a comment on the video (and you're on desktop), then click on the timestamp of a comment, which lead to the standard RUclips player page. It's unclear how long until RUclips kills this workaround.
thank you
Wtf is degree of freedom
K parameter of chi squared distribution
THANK YOU
The TI 84 plus CE came out in 2015. Why has hardly anyone made videos on how to use it? It's completely different!
can i get a pdf for this worksheet?
Hi there, sorry, we do not have a pdf to distribute for this video
OPenIntro is a game-changer in learning statistics, please produce more videos especially for the Biostats book!
Now how can i find a prediction from the line of best fit?
Excellent explanations of this! Thank you
Thank you so much for this. I wanted to buy the ti calcs for my AP Stats course but i could not last minute and thought i would struggle with this one since no one in my class (including my teacher) uses casio...but this is a MAJOR help to me.
Thank you so much. 🌷
Thank you very much.🌹
how did you find the SE point estimate? what's the formula? 3:08
Student from UoPeople 2023
great tutorial thnkx
Thank you, but its installing something, and it says it takes 61 hours, but my class will be in 10 minutes 😬
Thank you very much. It is a great video.🌻
Thank you so much for this instructive and informative video.🌹
Thank you very much.🌹
Correct me if I am wrong, but I believe if the mean and standard deviation are known and entered we don't get back a z-score
What were the details of the simulations and what was it based upon? how were so many simulations run upon the same group of men? I'm sorry but the "simulation" part was way to ambiguous and seemed have just magically made a plot to support the alternate hypothesis.
My interpretation of it is that first they run the experiment and get the real result, a 29% gap. Then they say "suppose there is no sex based discrimination, what are the odds that there will be the 29% gap between men and women?". This assumes that the ones who reject the promotion did so based on merit alone. When you run a simulation, you get a distribution of the number of females landing on those bosses who rejected the promotion. You would expect a mean of 50% of women landing on these bosses who rejected the promotion because it is random. You run the simulation to determine the distribution and then use the distribution to get the probability that 10 women landed on the 13 bosses that will not promote them. This gives you that 2% chance that they won't promote 10 females if theyre going based on merit alone. We consider this to be quite unlikely and therefore we say there is a strong possibility of discrimination