Statistics 101: Point Estimators

Statistics 101: Point Estimators.
In this video, we dive into the beginning of inferential statistics; the ability to estimate population parameters using sample data. The sample mean, sample standard deviation, etc. are point estimators for the population mean and standard deviation. But they are not perfect. We use a simple example in statistical quality control to explore this topic. Enjoy!
My playlist table of contents, Video Companion Guide PDF documents, and file downloads can be found on my website: www.bcfoltz.com

[@funone0015]

Killer introduction

[@teodustus]

Actually cried

[@joshuaboerger7965]

@@teodustus LOL, samsies

[@user-ot1vf5oq4p]

I lowkey party danced lol edit: was referring to the intro music, I love the words after listening to the actual intro

[@bethanyj4401]

watching this video during a mental breakdown (BECAUSE MY EXAMS ARE SO SOON AND I KNOW NOTHING), so i wanna thank you for that intro! really put a smile on my face

[@mukundkumar7070]

Hello

[@Milade_melodies]

Hope you aced the exams

[@_Anna_Nass_]

Same

[@shreyalahiry3900]

To be honest...that introduction made me feel better. I AM SO LOST...and have broken down multiple times from frustration.

[@liveybeha]

Out here literally crying from that intro. My final is next Tuesday and I am scared I won't pass. Thanks for your support!

[@BrandonFoltz]

You can do it!🙏🤘 Take care if yourself, breaks, rest, nutrition, friends and family, and something that makes you laugh a lot!

[@mainzadonalia823]

@@BrandonFoltz omg a year later im watching this video and i have my exams next week tuesday.!

[@diorll8147]

Same here, so lucky I found this channel

[@ak-hj4xw]

Brandon, so considerate of you to give us such a pleasant introduction and conclusion. It lifted my spirits up for the statistics final coming up. And your explanation was incredible, it cleared up most of the confusion I had so far with the basics, thank you so much!! Bless your soul

[@barovierkevinallybose1040]

When your class is also a motivation session. Love it!

[@nict4918]

Thank you for that positive intro, I definitely appreciate (and need) the encouragement!

[@BrandonFoltz]

You are welcome my friend. Hang in there. You got this. 💪🤘👍

[@Natalie-es2bs]

Hi Brandon, I'd like to genuinely thank you for the production of your videos. Though I try to seek help and work diligently through my class, Statistics can be really challenging and frustrating. Your comments about our ability and efforts are kind, and I truly appreciate them. Thank you again, and know your videos and kind words motivate me to continue to try!

[@matthewaye08]

Can you put a road map of what to watch next at the end of each video. Thank you so much

[@sherri2585]

Brandon, these videos are so great !!! You have saved me. I'm in Honor's Statistics at university, but I've NEVER had stats before so it has been very confusing trying to learn all of the terms and formulas. I didn't know when I registered for the class it would be so difficult. I'm a 98 and 99 math kind of gal, but this stuff is tough. With your help, I finally get it ! Thank you a million times over for the way you structure your videos. You are a God send.

[@BrandonFoltz]

sherri Awesome! Keep up the hard work. Perseverance wins out! - B

[@BrandonFoltz]

Thanks Judith! Thank you for taking the time to spend your precious time on one of my videos. The thanks is all mine. All the best, B.

[@liamnewbigging8789]

I love how you encourage your viewers to continue what they’re doing, keep spreading positivity, and the positivity that you’ve given to others might come back to you more that you’ve anticipated, Godbless Mr. ❤️

[@YemiAjayi_]

Thanks for the Intro man, I really needed it.

[@reyeskharlamaec.9053]

I feel better after hearing the intro , honestly I've been struggling to my statistic sub. In school , and I just wanted to improve myself and my grades this coming finals

[@truliapro7112]

Brandon - When you will release your book on stats? So that we can revise faster and practice!! Your channel is the best.

[@BrandonFoltz]

If is a single population then the rule of thumb is a sample size between 30 and 100; that is all you need due to diminishing returns of adding more. Beyond that, I think about the smallest way I might slice my data. If I need to conduct analysis on: 1) women, 2)between 30-39 years old, 3) non-smokers, 4) from Bristol, England, then I need to sample large enough to get at least 30 meeting that characteristic. There is no real loss in an overly large sample beyond time and money.

[@harveyspecter3361]

I like the video and think it is very helpful for beginners and know you mention it in the beginning in the video, but it would help if you also put that this video is for beginners in the title, because I am doing econometrics and was hoping you would actually explain what a point estimator is in detail.

[@lizthompson1691]

Honestly came here because I have a midterm in two days and don't know what is happening in the class. Your intro made me cry. Thank you so much, it's nice to hear that from somebody

[@kiarahart3114]

I needed to hear that intro a few hours ago. I felt like I wanted to cry lol

[@nizanamukoko656]

I like how calm you are when explaining THANK YOU

[@alikea99]

Wow this video is 7 years old and you are still uploading videos? Awesome job! You gained a subscriber :)

[@nihal5875]

The intro truly lifted me up thanks man cheers!!!

[@yasastn]

I've never hit like on a video this fast. Killer intro dude. You just put a smile on my face.

[@cintygal]

wow! thank you for that intro! what a nice and most needed surprise!

[@nomimino3414]

Thank you for the positive encouragement in the beginning of the video!!!!!!!!!

[@mm3111_3]

Thank you so much for your videos. They literally saved me. I couldn't understand my classes at all during 3 months, and I managed to pass my exams after watching your videos. Thank you for your great explanations, patience and kindness!

[@AhsanAli-fg1fv]

I have been learning from your videos since lockdown love all ov ur videos dude keep on doing it

[@ashlinmathew7345]

Awh the beginning is the sweetest thing! I needed that, thank you so much for that

[@jeanchrl22]

Wait a minute, for 13:00, I thought the error component is expressed as the "critical areas" in the tails. Am I missing something?

[@jeanchrl22]

@@hyungjoonpark83 It's another way of saying the rejection zones or the significance levels or the alpha or the complement to confidence interval

[@prathamjain8682]

Is there a video on methods of point estimation...... i really need some help

[@hayadawkassab6949]

okay the little speech at the beginning made my day!! thank you so much, amazing video.

[@sfsamkari1549]

may Allah guide you man .. you are a good person .. thanks a lot

[@jahnavichandramouli1268]

thank you so much for this! the explanation was just soo soo clear! :)

[@lintamariajoseph5354]

I watched many videos about many subjects ( cause I am a pharmacy student) but your intro make me cry ... cause only 5% of people can understand other feelings , finally I found a man among this 5% thank u 💓

[@OpenTheTrollGate]

man this video didn't help you should focus more on the practical part than the theoretical part

[@Sayuri240]

That message at the beginning and the end of this video really made me smile, thank you for your kind words.

[@lindadelalisey5408]

oh Brandon you are amazing. you have no idea how many students you have helped

[@tityavirakna1166]

Thank you very much for your kind effort.

[@judegom]

The beginning really made me stress a little less. thank you

[@savannahstone1849]

Your videos are very helpful for conceptual understand!!

[@kcappachino]

This entire style of video tutorial is so wholesome and encouraging. I am so impressed. Thank you thank you thank you Brandon :)

[@Tiberius_Gracchus]

Great video. Thanks for posting.

[@Rawteeth]

Just want to let you know this video really helped me. Keep up the good work!

[@beng2617]

7:50 bru i thought this guy actually just smacked himself in the face. idk why i pictured that

[@akshitarora9465]

But this doesn't contain maximum likelihood and method of moments .

[@gnimdotako8]

Bro that intro almost brought me to tears man. Thank you so much 😭😭😭

[@muhammadissop7230]

therapy and education in one DAM LOVE IT

[@senthilkumarsivakumaran10]

Loved the way you started..Clear explanations slowly as everyone would expect. I would like you to put what video to see next and prerequisite videos if any, so that we can the lessons the way it has to be learnt for better understanding. Enjoyed your video..Great work.

[@prabhudaskamath1353]

Wonderful Lecture. Thank you..

[@ow3nmahp935]

I wish my father can be half as inspiring and supportive as you Mr.Brandon. Heck, I'd be so grateful even if he posses 1-fourth of that positivity. Anyway, tks alot. Eventhough many people have talked about how great your intro is but I still wanna show my gratitude. Keep up the good work

[@Inamulhaq__67]

Videos are awesome... I just love the way you explain.... So perfect.....

[@loydchikiwa3952]

Quite informative lesson I gained a lot

[@judithsmith4098]

I love your video. Very easy to follow. Thanks for taking the time.

[@mostakduwrc]

suggestion: if possible please choose a research topic, and show the full procedure from first to last with some effective analysis model by using several software like SPSS, Matlab or something else. That might be helpful as more practical knowledge. you are doing great, I'm your big fan. Thank you very much for your hard work

[@XxMiyunoxX]

Haha... I was just.. thinking that maybe I'm not supposed to be in the course I'm taking right now and that maybe the class isn't for me at all when the beginning comment on staying positive etc.. Thanks a lot, the explanation helped!

[@omerarpaci]

Video is 14 min but we only learn something in half of the time. Please increase the efficiency. Thanks for the effort btw.

[@BrandonFoltz]

Thanks for watching and your suggestion. I kinda have my own style of teaching and based on the likes for the video the vast majority seem to like how I do it. May not be amazingly fast but many people watch my videos because their professor goes way too fast. I try to be thorough first and foremost. But I do understand where you are coming from. Thanks again!

[@omerarpaci]

Yea i see know. I had basic infos about this topic. But you are more likely for who wants to know basics. I can understand you from this perspective. I also liked the video and clearance. Just wanted to give a suggestion. Thank you again.

[@BrandonFoltz]

Hi Aabi! The sampling distribution is a theoretical collection of many point estimators, in this case many sample means (a point estimator). So we could take the average height of 30 adult men and get a sample mean (point estimator for the entire population of men). Repeat (another point estimator). Repeat. Repeat. If we put all those means into their own distribution, we have the sampling distribution.

[@RozzBerry27]

Aw your pep talk is so great, thank you!

[@raiyanreza9764]

I followed you as soon as I heard the intro lol. Nice hook

[@marabi4]

Great video! what it took me more than an hour to barely understand was explained very well in less than 15 mins.

[@Tonop50]

Thank you very much, Brandon. Me and my groupmates enjoyed your videos. They were helpful in our preparation for the exam) Hello from Ukraine!

[@mikeyang5091]

Bradon, thank you very much! It is very helpful! A lot of people like me know how to calculate numbers using formula. But they like me don't know why they are doing it. Your videos filled the gap. Amazing! Please make more videos. I plan to watch all of your video once I have time.

[@onyinyechiatula4337]

You forgot to talk about biasnss and unbiasness of an estimator... A good video nonetheless

[@dettan2897]

THANK YOU FOR THIS SUPER HELPFUL VIDEO!! I FINALLY UNDERSTAND THE TOPIC!! THANK YOU SO MUCH HUHU I DID NOT FAIL MATH BECAUSE OF THIS THANK YOUUU

[@paintingmylifeawaify]

Hey, man. Thank you for your encouraging words! I had almost begun to lose hope because I couldn't understand the textbook. This video cleared things up and made point estimation seem more simple. You have a new subscriber. :)

[@jstnnnnn]

My god, I needed that intro right now... Uncanny timing. Thanks for the positivity.

[@darwingreen717]

These videos are awesome, and I have recommended them to others in my class. One small piece of feedback is that I'd like to see how to understand and calculate sample proportion (unless I'm missing something and it went over my head). But keep on doing the good work!

[@Robert100R]

you are a great motivator and teacher...:)

[@BardiaIsOnYoutube]

Thanks for the video, trying to do a project and your video really helped

[@DGerharts]

Incredible video. Thank you very much

[@AshwinSajeev2001]

Fantastic video! It really helped me understand the concept better. Thanks

[@ThePalamura]

You Sir are the future of educational system. Keep going Brandon !!!

[@ArijitBiswasdotcom]

Your explanations are really helpful! Really appreciate your efforts and help, thank you very much Brandon! :) :)

[@janetfield1849]

I am in a graduate statistics course and this was a very clear explanation of what my textbook didn't explain well.

[@shanehampson1]

you sound like danny mcbride

[@cyndivilla7456]

i was thinking more like Seth Rogan. LOL. Nice video

[@alejandraparedes1076]

Thank you for the motivation. :) Definitely needed it today.

[@nainarkumar]

In an automotive safety test conducted by the North Carolina Highway Safety Research Center, the average tire pressure in a sample of 62 tires was found to be 24 pounds per square inch, and the standard deviation was 2.1 pounds per square inch. What is the estimated population standard deviation for this population? (There are about a million cars registered in North Carolina.) Calculate the estimated standard error of the mean Construct a 95 percent confi dence interval for the population mean

[@andreesurya89]

Great video. Thanks a lot Brandon!

[@danielmontes9667]

thank you for the beginning I didn't know I need that until I heard it.

[@illasaisrujana2716]

Awesome work! Thanks a lot!

[@plttji2615]

Thank you for the video, can you help me how to prove that is unbiased in this question? Question: Compare the average height of employees in Google with the average height in the United States, do you think it is an unbiased estimate? If not, how to prove it is not mathced?

[@pravinnimalan814]

Hi brandon, just wondering, how is the mean sample size 3210.73? Thanks.

[@CheZaiC]

I was about to give up cause I feel dumb, but that intro changed My mind, thank you

[@TheMintyHerb]

how sweet of you to add some encouragement before getting started! great video, very concise :)

[@ryguo2778]

The video really helped me with my course :)) thank you!!!

[@leojiao130]

The first 2min already gave me hope.

[@BrandonFoltz]

You got this. Keep digging. You are here, and that makes all the difference.

[@HelloThere-lo3qi]

Dang 8 years ago :_) guess i gotta scroll your vids till i see the next vid after this.. i will have my exam next week, wish me luck and thanks for the video🙏

[@Adam-de8yi]

That intro was needed man. Thank you.

[@BrandonFoltz]

You are very welcome. Keep going!

[@cassandralaveus5290]

I barely ever subscribe but had to today! Thank you

[@lujainassiri1700]

thank u for this especially the intro 😊

[@murtizaali3478]

Please make a vedio on "sufficiency or sufficient estimator ".

[@njabulonzimande2893]

I also wanted to get a tutorial on that

[@maryamahmadij.3128]

Wow ure amazing!!!!!!!!!!!!!!!!!!!!!!!!!!thank you sooo muchhhh

[@thehashslingingslasher5336]

My professor skipped this and went into the proofs and likelihood maximizations in 45 minutes. Thank you for that 11:00

[@Schnipah]

Pretty sure my academic speedbump is made up of the online classes due to covid. Is there anyone else watching this struggling with the online classes?

[@nopenotatall397]

I listened to just the intro and I'm already so into this thanks for that positivity, I really needed it right now

[@cantaria99]

Thank you for the final words :')

[@Xoxooxoxoxooxoxo]

this intro is so wholesome, I really needed this today. Thanks dude!

[@mohammednagdy6661]

Amazing introduction. It made me finish the video 'till the end

[@elizabethdickson-gavney6017]

I'm so grateful to have found your playlists. You are the first person who has ever been able to explain these concepts to me in a way that makes sense. Thank you.

[@aabiqasim6570]

Great work. I am preparaing for an exam of quality engineering. And ur videos relly helped me in undrstandibg the basic concepts. But aftr watching all these, i am bit confused. I did not undrstand that when should we consider sampling distribution. If it is used for making estimates about poulation then what is the purpose of point estimators, as they also do same thing. How to know that which method should be used at what place and why. Waiting fr ur response. Thanx