Statistics 101: Two Populations, z-test with Hypothesis
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- Опубликовано: 9 сен 2024
- Statistics 101: Two Populations, z-test with Hypothesis
In this video, we begin the exploration of multiple populations by finding a confidence interval for the mean difference between two populations. For this first case, we know or are given the two populations' standard deviations. We learn how to find the standard error, margin or error, and confidence interval for the difference between two populations. Illustrations and examples are provided. Enjoy!
My playlist table of contents, Video Companion Guide PDF documents, and file downloads can be found on my website: www.bcfoltz.com
I really needed that first minute 😥 thank you
year over year, you are still helping people! thats what i call a legacy
that positive message really motivated me
Just watched every Statistics 101 video in your series until this one. THANK YOU SOOO MUCH FOR MAKiNG THOSE
Positive message at the start
I ain't that pretty.
this is what I call saving Lives*thanks
ni khou amba ngoho nwana wa mukalaha
your words of encouragement, in the beginning, are exactly what i needed! thank you!
These videos are actually making me LIKE statistics! I didn't think that was possible! Thank you!!
that message in the beginning helps so much omg
You are the reason why I am passing engineering stat class
first time ive understood something in stats, thank you so much
Thank you Brandon. I have no words to express how grateful I am to you. Thank you for all the videos
This was incredibly helpful. Sometimes you just need to reaffirm the basics. Thank you so much...
Thank you Sir, for explaining this so well . I went through many texts and did not understand a single bit while your videos are clear as crystal.
very professional video with good and deep simple explanation, nice ontent and representation...uptodate information....hatsoff and thank you sir....could lear it at first view
Thank you for your altruistic videos
Nicely done Mr. Foltz!
Thank you so much for this tutorial video, it's very clear and comprehensive, I would like to see all your tutorials as I am applying for the Black Belt exam soon
It would be great if u could just show the calculations in excel. Like what to subsititute of Z-test and t-test for the variables in the formula.
This chapter and the one right before are particularly abstract and hard to understand even despite your amazing efforts
explaining those concepts.. I had to watch each of these videos 3 times maybe and still my mind is a bit blown. Thanks for everything though
Clear and simple
Great work, as always, dear professor. Congrats!
Very Good !
Brandon these videos are wonderful! Thank you thank you!!!
Unbelievably awesome job. Thank you.
Absolute life saver, thank you so much!
Hey Brandon,
In 24:09, you have a text box stating-
'The sample results do not offer sufficient evidence to conclude the call centers differ in mean call length'
We have z critical, Do, Sigma1 and Sigma2,n1 and n2. Why dont we just substitute and obtain the mean difference?
Hi Excellent videos, thank you, could you divide your videos into smaller groups, suggest & label the order in which it should be watched in each group, & also number the groups?
Could you also put statistics training videos which can help us clearly understand ASQ six sigma & may be help pass their black belt exam. You statistics examples are helpful in understanding six sigma.
You have learned the art of presenting apparently difficult things in a way people with normal intelligence can even understand. Some instructors, on the contrary, pick up simple things & make it look difficult.
You are not one of them. Once again, thank you for your excellent service to humanity.
Thank you for making it simple!!!!
In my opinion, the H0 hypothesis should be in each case with equality. If we suppose H0 to be true (with equality) the statistic z has a standard normal distribution.
I'm just learning this topic, but how do you handle the situation that the two samples don't have equal sizes?
Amazing video, everything was really well explained- thank you!!!
Thank you
thank you !
Awesome 👌
Thanks
Thank you so much - you are great!!
Master, could you make visual video for Proportion Test (Z Test for Proportion) and explain reason using Z for proportion, thanks
Can you make a video where you revise and do problems about this whole chapter, more like an exam prep video but with just one chapter thank you.
brilliant
Thank you so much this was so helpful thanks for taking your time to making these videos
EXACTLY
Reyis sen cok büyük bi adamsın, math 260'ı geçersem alnından öpücem
🤨
Thank you so much, these videos have been a godsend really. Is there a reason why you don't talk about Type II error testing in these videos?(Except the single sample one)
Thanks！！！！！
Thank you so much for all your hard work Brandon! These really are amazing videos. I do have a question regarding the statistics playlists. I can't seem to find Statistics Playlist #2. Can you please advise? Thank you again!
Hello Brandon, there is missing link: how does difference in pop mean (mu_1-mu_2), relate to mean of difference in sample means (mu_(X-bar_1-X-bar_2)?
wish this video could have existed back in 09/10 when I was in college lol
I don't understand how you placed the yellow dot to the left of the mean. a z-score of -.31 has a value of .3783. Is that because the mean would me at .5?
Why we are adding the standard error together
From the question which one will be Population-1 & which one will be Population-2. How can be selected?
He gave an example of india😍😍😍
What does d bar represent
I was wandering how you can know population standard deviation without knowing mean?
hi. I didn't understand how did you get sample means for z-statistic. in the first case you were assuming sample means are equal but later to estimate z-statistic you got values of sample mean. I want to find out how did you get sample means. Thanks in advance.
Sample means are already given, they're basically the average of all values present in the sample. While the sample size is equal in both cases, the value inside the sample are different, therefore the average of both samples differ.
What he assumed in the beginning using z statistic was the *population mean* being equal in both cases. That was just our hypothesis.
wish you could have been my professor
I want to thank kartik for sending me this -Sumaiz
can you please guide me with proportion infrences
are you an Indian?
how did you get 1.96.someone please explain to me
Usually you are taught that 1 standard deviation from the mean is 68 % of the data, 2 standard deviations is 95% of the population, and 3 standard deviations is 99% of the population. However that isn't exactly correct. To be precise, 95% of the population can be found within 1.96 standard deviations from the mean. So 95% confidence is equal to a z score of 1.96 ( z score is the number of deviations from the mean in case you didn't know)
As per z-statistic table
It's table value
Ugh. My professor taught this so different to what everything else is saying now I'm even more confused ]'8