WEBVTT Kind: captions; language: en-us

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In this video we will go through some preliminary remarks regarding probability, in particular we 

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will consider the question: what is probability, and why should we care ? 

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Treffsikkerhet: 91% (HØY)

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Let's start with the second question: why is probability important to understand?

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First of all probability is how we deal with variability. As we've said before nothing, is certain 

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things are variable, we can never be completely sure. But not everything is equally likely, some things 

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are likely and expected and some other uncertain things are less likely and unexpected. 

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And we need to be able to handle this variability so that we make good decisions based on justified 

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expectations. When are our expectations justified? When they reflect the actual probability that 

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something will happen. 

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More specifically in a research context there is the issue of variability coming from sampling. 

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Sampling means, because we can't measure everyone we're interested in, we have to sample and measure 

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some people or some instances or some cases. And we want to be able to draw conclusions from our 

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sample that will be valid for the whole population, that is we want our 

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has to be valid for all those we didn't happen to sample. 

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Would we get the same result if we had used another sample ? If we run a study with 20 or 50 people 

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and find something, would we have gotten the same finding with a different group of 20 or 50 people ? This 

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is very important in order to be able to make the right decision based on our study. 

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So in general we need to understand the variability of sampling, he variability that comes from sampling, 

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what it implies for our conclusions, the implications of this sampling variability which are 

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inherently probabilistic. 

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Now what exactly is probability ? There are different philosophical approaches to this question and 

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there are formal definitions, and we're not going to go into any of that. The question for us is 

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how to think about probability so that we have reasonable intuitions and our thinking makes sense. 

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So the basic idea is that probability refers to how likely something is to happe,n but this is not 

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very easy to think about. 

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So the easier and equivalent way of thinking about it is how frequently something happens. So if 

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there were many opportunities for an event occur, how many of these would actually lead to the 

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occurrence of the event ?

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High probability means that something happens often, so it's a frequent occurrence. This does not mean 

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that it's certain, we can never be certain, but we can expect it to happen so a high probability event 

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is something that doesn't surprise us when it happens. 

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What about low probability? Well that's the opposite, it's something that doesn't happen very often so 

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it's an infrequent event, that does not mean that it's impossible it actually will happen, but not 

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very frequently. So a low probability event is something unexpected, but tends to surprise us when it 

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does happenm it doesn't surprises that it happens at allm but it surprises us 

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more than a high probability event because it's expected less. And the question then arises; when 

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exactly are low probability events expected ? They're not zero probability so they will happen at some 

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point, can we say something more about that ?

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Let's ask this kind of question in a little more concrete context it's not a special needs education 

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context but it's something that's very easy to understand and think about and then we'll go back to 

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more relevant examples later in the course. 

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So the easy question is: why don't I win the lottery ?

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And there is also another question if everybody 

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can ask themselves why don't I win the lottery then how come anyone wins the lottery if it's so 

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unlikely for anyone of us why is it likely for someone ? 

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So you probably familiar with this type of Lottery 

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in this particular case there are 34 numbers and you are supposed to pick seven numbers 

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Treffsikkerhet: 85% (HØY)

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and note these seven numbers, and then there is some sort of draw that is a completely random event 

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there is some device that ensures that seven out of 34 numbers are selected. So in this Norwegian 

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case and also in many other countries there is a rotating device that uses air or something else to 

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just mix up these numbered balls 

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Treffsikkerhet: 91% (HØY)

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and some of them are caught and rolled out and then you have the winners. So there are seven numbers 

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that are drawn at random, and if you happen to have picked exactly these seven numbers, then you can 

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win a lot of money. 

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So that sounds enticing and that's why people actually pay to do this, 

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but as you probably know you're not very likely to win, and why aren't you likely to win ? Well this 

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can be answered by thinking of what it takes to have a winning sequence.

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If you are to win this game this is necessary to happen, so when there are still all 34 balls inside 

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that device the one that comes out must be one of the seven you have picked, so the odds of getting 

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the first ball correct are seven divided by 34. And after this the following must happen of 

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Treffsikkerhet: 81% (HØY)

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of the 33 balls that are remaining in there 

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whichever one comes out must be one of the six left that you have guessed, and because you want both of 

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these to be true these have to be multiplied. And then there are 32 balls in there and the one that 

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comes out must be one of your five remaining choices, and so on and so forth, and the answer is for 

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all of this to happen so that you win, that you get the 

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seven balls correct by your single choice, the chances are one in about five and a half million. 

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To put this number in context 

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the chance of being hit by lightning in Norway are estimated to be about 1 in 150 thousand, and if 

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you randomly dial completely random numbers on your phone the chance of calling someone you know can 

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be estimated to be about one in 167,000 assuming that you know about 600 people on average 

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Treffsikkerhet: 84% (HØY)

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and this is how many numbers are possible to ring in Norway and I didn't make up these estimates 

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there are some published estimates for that. So how likely do you think it is to actually reach 

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someone you know by randomly dialing ?

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Treffsikkerhet: 91% (HØY)

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How likely do you think it is to be hit by lightning ? Well winning the lottery is way less likely 

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than that, so that's why you don't win the lottery. 

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An important note in this context is that 

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this calculation doesn't take into account which numbers you selected, because it doesn't matter in 

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any way, so any possible set of seven numbers has exactly the same probability of winning. This means 

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that these numbers are exactly equally likely to win as these numbers.

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Treffsikkerhet: 91% (HØY)

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And the reason I'm saying this is because these don't look very likely, these look more likely, these 

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look more random, but that makes absolutely no difference any set of seven numbers has exactly the 

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same probability. 

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Treffsikkerhet: 91% (HØY)

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So the probability of winning the lottery, a Lottery of this sort, is best thought of if you are 

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thinking of this sequence. You get a more accurate feeling than by thinking about these. 

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Moreover which ball comes out at any given instant does not depend on which one came out before 

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either in the same, or in a previous draw. The random choice of numbers is independent and memory less. 

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Treffsikkerhet: 91% (HØY)

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Regardless of what happened before or what happened in the immediately previous draw, so even if 

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these numbers came up last week, this doesn't affect their likelihood of coming up again this week. 

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Treffsikkerhet: 89% (HØY)

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So this should give you a better sense of how likely it is doing the lottery, although you already 

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knew that you are not likely to win it at all. Which brings us to the next question: how come anyone 

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wins if it is so unlikely ?

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Treffsikkerhet: 91% (HØY)

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To answer this question we have to think of a different approach, so if you were not just calling one 

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random number, but if you dialed a million different random numbers so you had a lot of time for many 

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years all you did was just dialing random numbers. 

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After 1 million dials what do you expect to have reached someone you know probably, more than one.

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Treffsikkerhet: 75% (MEDIUM)

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If you played a million different 7 number sets, would you expect to win the lottery ? Wou wouldn't be 

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certain, but your chances would be much better 

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Treffsikkerhet: 89% (HØY)

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if you played all possible 7 number sets then you'd be sure to win, but then of course you would lose 

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money instead of winning, it would be too expensive to do that. But think of everything that's between 

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selecting just one set of seven numbers and all possible sets of seven numbers. You move from high 

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very high uncertainty to near certainty. 

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Treffsikkerhet: 91% (HØY)

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So whether or not you expect to win depends on how many times you try. 

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Treffsikkerhet: 91% (HØY)

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Okay now we're getting somewhere. 

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Treffsikkerhet: 91% (HØY)

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How many times you try, it doesn't have to be you it can be different people, so whether you can 

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expect a winning set depends on how many people play. It actually depends on how many 7 number sets are 

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chosen, but if everyone chooses just one then the number of players determines how likely it is to 

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have a winner. 

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Treffsikkerhet: 91% (HØY)

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So large numbers, in this case large number of Trials, lead to a predictability of patterns of random 

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low chance events. So here we have low chance events that are completely unpredictable, but if you 

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have a large number of Trials then you can predict how often you can expect someone to win, 

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approximately. You can calculate if you can expect a

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Treffsikkerhet: 91% (HØY)

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winner at every draw, if you know how many sets of seven numbers are played before the draw. You can 

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never predict who will win,but you can predict how often someone will win. And for the research 

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situation that we are interested in, this kind of a probabilistic thinking is very very useful. Because 

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we're not interested in individual events we are interested in long-term outcomes of sets of 

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events. 

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So what's the point of all this? Is this about gambling well although knowing about probability help 

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with gambling but that's not all. Otcomes of random events or any kind of events that are variable, we 

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don't control the variability, and we can think of them as being random. So any variability can be 

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ascribed to a random process and we treat our variable data as being 

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Treffsikkerhet: 91% (HØY)

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random in some way, and then we can use ideas from probability to predict what can happen on the 

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basis of these data. 

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Treffsikkerhet: 91% (HØY)

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A bit closer to home if we have a study based on data from a sample, so we study a special population 

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and we want to understand a clinical population for example, or we study the effects of an 

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intervention, either way we don't study everyone we use a sample of people and we measure something 

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about them. 

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So how far from the population value can we expect to be based on our sample ? We'd like to draw a 

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conclusion that is good for everyone in the population. including everyone we didn't measure. If we 

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only measure a sample, how far from that population value can we expect to be ?

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Treffsikkerhet: 91% (HØY)

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And how big a sample do we need in order to not be very far ?

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Treffsikkerhet: 91% (HØY)

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This kind of question you can first think of in terms of something else you're familiar with, which 

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is polling of voting preferences or voting intentions. So polling companies go and ask people what 

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they plan to vote, who they plan to vote for, and then they report the results and give a margin of 

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error, they say this is the percentage of votes for each party with a margin of plus or minus for 

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Treffsikkerhet: 53% (MEDIUM)

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example two percentage points, or one or five percentage points. 

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So they give a range within which they expect to be with respect to the actual voting intention for 

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the rest of the population. And they can calculate how many people they have to go around and ask in 

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order to have a range of their choice. Do they want to be certain to within one percentage point or 

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is within five percentage points enough ?

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Treffsikkerhet: 89% (HØY)

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So all of this comes from understanding the role of probability in affecting long-term outcomes of 

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many events, and sampling is very very important for us because all research is based on sampling. 

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It's very rare that we can actually study the whole population that we're interested in. 

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Treffsikkerhet: 88% (HØY)

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And more specifically its understanding probability that helps us decide if the finding from our 

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study can be trusted and should be interpreted in generalized, or it should rather be ignored, or 

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augmented with more findings. So this is why probability is very important to understand, not just in 

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the context of a statistics course, but in the context of understanding 

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Treffsikkerhet: 91% (HØY)

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research and practice in Special Needs education. 