I feel like I have found GOLD with these amazing series. EXACTLY what I needed. I'm subscribing to this channel and never letting a video go without watching. Thank you so much for the very appreciated work.
@lizjuniel8450
9 жыл бұрын
I just want to say thank you! thank you! thank you!. I was failing my statistics class because I just did not understand the terms and how they worked together. I am so glad I came across your video, I am almost in tears because I understood and followed along with you, and because of that, I believe I will be able to get through this course. Your video was very well put together, and very very helpful. Your videos will be the only videos I go to to learn anything regarding math and numbers. Thank you so much!
@addisumulugeta9881
4 жыл бұрын
This is Addisu from Ethiopia. I have been learning from your videos for a couple of years. To be honest, I never see a learning video like you do, which is specific and very clear. Thank you so much!
@amirhosseinalamdar9179
9 жыл бұрын
The graph is highly skewed to the left
@Wowhondor
9 жыл бұрын
+Amirhossein Alamdar I think it is correct saying right. it seems backwards is how I remember it
@verovela99
8 жыл бұрын
Its skewed to the left.
@cr-lc8on
9 жыл бұрын
thank u so much tht helped me a lot , but the graph is skewed to the left !
@Ray-kr5tb
10 жыл бұрын
Mr. Foltz, thank you so much for putting in time and effort to make this video, it was very clear and helpful. I learnt not only statistics from you but also to help others without expectations.
@Wowhondor
9 жыл бұрын
I have searched everywhere for good videos explaining this. Thank you.
@thingocduytran7430
4 жыл бұрын
I like this video. thank you so much.
@davids5309
10 жыл бұрын
What would really be great is if you refer (the name/title) the exact Previous and Next videos
@theadel8591
5 жыл бұрын
Thanks very much sir 🙏. I have noticed that you don’t mention several important nomenclatures and concepts such as: probability mass function (pmf which is the name of the probability of discrete r.v.) and how to prove that a random variable is defined on a space of elementary events(omega).
@mahiji5735
5 жыл бұрын
Best explanation👌
@floydcarbunkel4247
2 жыл бұрын
Probability of rolling sevens is countable and discrete .for example
@garlicgirl3149
8 жыл бұрын
It may be common sense to you and others that statistics come natural to but to me the fundamental rule of probability, none less then zero or greater than 1. This is what frustrates me...this is not a common thing I go around thinking about so why should I have common sense about it?! I just appreciate that it be explained.
@Balldropper
8 жыл бұрын
It's common sense because either something cannot happen (probability is 0) or it can (>0). If it can happen, then it can either always happen (1) or happen some of the time (
@annominous9567
7 жыл бұрын
Think of it in terms of percent, rather than integer values. Then, the fundamental rule states: For ALL possible outcomes, the probability of ANY outcome occurring must be greater than 0% and less than 100%. The key word here is possible - you are restricting the probability percentages only to those outcomes that you know CAN happen. If an outcome CAN happen, then there HAS to be a better than 0% chance that it WILL happen. If that makes sense, then, hopefully, the corollary also makes sense - that the sum of all of these probabilities must equal 100%, because if I ask you, "what are the chances that ANY one of the possible outcomes will occur (e.g., I don't care WHICH possible outcome, just the chances of A possible outcome)?" you will say, "well, there's a 100% chance that ONE of the outcomes is going to occur. For example, if you flip a coin, the outcome HAS to be either heads, or tails. Therefore, there is a 100% chance that the outcome of flipping a coin will be a head or a tail. If a baby is born, that baby HAS to be a boy, or a girl. Therefore, there is a 100% chance that every newborn baby is either a boy or a girl. If you roll a six sided dice, the outcome of the roll HAS to be either a 1, a 2, a 3, a 4, a 5, or a 6. Therefore, there is a 100% chance that the outcome of the roll will be either a 1, a 2, a 3, a 4, a 5, or a 6. Again, hopefully that answers your question. If it does, there's still one part of the rule left to explain - that no probability is greater than 1, or, to continue with this approach, 100%. Well, if it makes sense that there is a 100% chance that one of the possible outcomes will occur, then the absolute maximum probability any of the possible outcomes could would be 100%. For example, when we're tossing a coin, if we said that there was a 100% chance of the coin coming up heads, that would mean that there would a 0% chance that the coin would come up tails, because we understand that when we say that there is a 100% chance that something will happen, that means no other outcome could happen. Of course, if we are assuming a fair coin, we know that the probability of the outcome of every coin toss coming up heads is not 100%, but that's just the example I came up with. Of course, if there is only ONE possible outcome, then that outcome WOULD have a probability of 100%. This just means that it's guaranteed to happen. So, for example, (and I apologize in advance for the morbidity of this example, but I think it does illustrate the point) if someone asked you to estimate the probability that they were going to die, you would say that the probability of that happening is, in fact, 100%. We're all gonna die. Now, calculating the probability of WHEN we're going to die is a bit harder, although it can be done (that's how insurance companies make their money), but calculating IF we're going to die is really, really easy. Again, we're all gonna die. So that outcome has a 100%. But even though we know it's going to happen, we still wouldn't assign it a probability of, say, 105%, or 120%, or 200%. That would be meaningless. Again, I hope this answers your question. If it does, then the last part you need to understand is simply that, instead of using percentages, statistics uses a probability range of 0 to 1, where 0 is equal to a 0% probability, and 1 is equal to 100% probability. Anything in between just equates to a decimal value, such as .5 means that there is a 50% probability the outcome will occur, .25 means that there is a 25% probability the outcome will occur, .395 means that there is a 39.5% probability the outcome will occur, etc., etc., etc. I hope this helps make the concept clear to you.
@taylorthomas383
6 жыл бұрын
I am currently taking stats at my university and even though my teacher is very knowledgeable, his method of teaching is not my style. I found channel savaging through youtube and I am so glad I stopped here. You are a god sent and you also are saving me money rather than going to expensive tutors. Keep up the good work and I am definitely recommending this channel to other students in my stats class!
@prabhudaskamath1353
4 жыл бұрын
at 12.11 you said skewed to right, in statistical terms it should be skewed left.. Isnt it ?
@johnyf.q.8043
3 жыл бұрын
A bit late to the party here but shouldn't in 17:16 - "Probability Distribution" read: "... assigned to each outcome, x, for the random variable X."? Your videos are awesome. I use them to refresh my memory all the time.
@derbydog07
4 жыл бұрын
Why isn't the probability of the class satisfaction .2 for each option? The students have 5 choices.
@edwardlopez5930
3 жыл бұрын
Can someone explain to me in part 11:32 how he gets the number in the middle?
@floydcarbunkel4247
2 жыл бұрын
Logic is multiplicative or additive. And or Or
@theMou
7 жыл бұрын
i wish i would have had an instructor like you in my early math days. good job!
@snehalborude108
Жыл бұрын
It's best explanation I have ever learned 👍
@FilipeHerc
9 жыл бұрын
Hello, the problem with the Class Satisfaction is confusing me. It should be the "relative frequencie" insted of "probability"? Because in my mind, probability would be .20 for each value. That is, each answer has the same probability of happening. Plase, correct me if I'm wrong. Awesome video by the way!
@Salmansaleem684
4 жыл бұрын
Thank you very much for this video
@jongcheulkim7284
3 жыл бұрын
This is very helpful. Thank you.
@floydcarbunkel4247
2 жыл бұрын
Hormones prevent me from going further
@alexiskellis6402
4 жыл бұрын
I like his videos. He makes them simple and helpful to people like me for whom math and related concepts don't come easily. Also, cadence, voice, production -- just all around well done and helpful. THANK YOU!
@floydcarbunkel4247
2 жыл бұрын
Boltzmann statistics get weird
@floydcarbunkel4247
2 жыл бұрын
Fermi statistics different ..still
@vegas34162
9 жыл бұрын
I was asked a question that hopefully you could help me on..the question, "what is the probability that X will exceed the expected value?" how would I answer something like this?
@TheLitenLisa
11 жыл бұрын
Mr. Foltz, u are my salvation! I am sooo thankful for your videos. With your help I think I can finally manage the upcoming exam in Statistics in Psychology! Keep up the good work! You explain things so good and your honest praise in every video really helps me believe that I can actually conquer this monster called statistics (and my awfully stern german professor) and even be good at it :) Only thing I'm missing is a video on Bayes, but maybe you've already made one and I've just missed it?
@margaret77449
10 жыл бұрын
thanks so much for your video I subscribe to your acct to find more! I'm taking statistics and this video was very helpful :)
@floydcarbunkel4247
2 жыл бұрын
Most . Events are. Discrete
@floydcarbunkel4247
2 жыл бұрын
Information is related to p=ln p.. p
@floydcarbunkel4247
2 жыл бұрын
Basic . But necessary
@Surya42930
11 жыл бұрын
Simply loving your videos & the way you explain....Hope to see you atleast once in this life time!!!!
@pretentious_a_ness
6 ай бұрын
Quality Content
@mussimbigrace3469
2 жыл бұрын
I love this channel
@SulmanSaleem
4 жыл бұрын
What do you think is the threshold (in terms of possibilities) to call something continuous?
@taramcgara1
10 жыл бұрын
Your videos continue to be a GREAT review of stats concepts! Thanks!
@floydcarbunkel4247
2 жыл бұрын
But not always
@samhong5828
2 жыл бұрын
Nicely done!
@jenlf7446
9 жыл бұрын
Thank you so much for your videos, must instructor talks too fast for me to keep up
@SuperGaaralvr
11 жыл бұрын
more examples would be very useful. I like the way you explain things!
@bendecormeille7610
2 жыл бұрын
great teacher
@farmarcos
10 жыл бұрын
What does "discrete probability" mean. Could you help me. By the way, thanks for the video.
@BrandonFoltz
10 жыл бұрын
Hi Marcos! A discrete probability is the probability assigned to a discrete event. For example what is the probability of rolling a die, getting a 3 and then rolling it again, and getting another 3? Rolling a 3 is a discrete event and always has a probability of 1/6. So a 3 then another 3 is 1/6 * 1/6 = 1/36. A die like a coin flip has a finite number of outcomes (2 and 6 respectively) and the discrete probability is the probability of each one of those finite outcomes. The probabilities do not have to be the same however. If the second die had 2 number 3's on it then the outcome of 3,3 would be 1/6 * 2/6 = 2/36 (1/18). Hope that helps!
@farmarcos
10 жыл бұрын
What is a discrete event? Thank you, professor.
@vipcrownemoji2272
8 жыл бұрын
discrete refer to counted data like number of deaths .. etc it has no fractions
@909osita
11 жыл бұрын
you explain things so good more examples would be even better
@annominous9567
7 жыл бұрын
Actually, wouldn't P(x) for each of the satisfaction ratings be .2? Barring any knowledge of each student at the beginning of the course (which applies even though the survey is conducted at the end of the course, because the survey was actually created prior to the course), then there is a 20% chance that any given student would rate the course a 1, 2, 3, 4, or 5. Another way to think of it would be to think of the survey as a pre-cource survey, with the question, "Given that you know nothing about the teacher, how well do you think you're going to like this course?" When it's phrased like that, I think it seems a little more obvious that there's a 1 in 5 probability that any random student will select any of the possible outcomes. I think that the values in the slide shown at 10:25 is the frequency distribution, not the probability distribution, right?
@argiriossalagiotis2455
6 жыл бұрын
No, it wouldn't. Just because there are 5 possible outcomes this doesn't mean that they are equally likely.
@kesavareddy4048
6 жыл бұрын
please share notebook it is useful to understand
@roxannewheeler
9 жыл бұрын
Thank you for these videos! They are very helpful!
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