MAP Recommended Practice
- Statistics intro: Mean, median, & mode
- Mean, median, & mode example
- Mean, median, and mode
- Missing value given the mean
- Missing value given the mean
- Impact on median & mean: removing an outlier
- Impact on median & mean: increasing an outlier
- Effects of shifting, adding, & removing a data point
- Choosing the "best" measure of center
The mean (average) of a data set is found by adding all numbers in the data set and then dividing by the number of values in the set. The median is the middle value when a data set is ordered from least to greatest. The mode is the number that occurs most often in a data set. Created by Sal Khan.
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- is centeral tendancy the same thing as mean?? What is the difference??(59 votes)
- The arithmetic mean is one example of a statistic that describes the central tendency of a dataset. But any other formula or process that takes a dataset and generates a single number that represents a "typical" value is also a measure of central tendency. That includes the median and mode as well as more exotic things like the midrange or the arithmetic mean when you ignore the largest and smallest value. All of these numbers attempt to capture the spirit of a dataset by giving you a sense of a single "usual" value, and that is what makes them measures of central tendency..(2 votes)
- Sal, can you please answer my question?
If the set of numbers were (2 , 4 , 6 , 8 , 10) , how would you find the mode?
(There are no numbers repeated in the above question.)(2 votes)
- if there is a question such as:
what is the mode of 2,2,3,5,6,5?
would it be 2 or 5?(0 votes)
- It's always possible that there are two modes, and sometimes there is no mode at all. So since 2 and 5 are both repeated the same time, they are both modes of your data set.(11 votes)
- I've heard of both the arithmetic mean and the geometric mean. What's the difference?(2 votes)
- Well, I know that an arithmetic SEQUENCE is where you have d = common difference, and a1 (the one is supposed to be a subscript) is the first term. The formula for the nth term is an (n is also subscript) = d(n-1) (for once, not subscript!) + a1. For example, the sequence 7, 13, 19, 25. . . The first term is 7. The common difference is a(n) (this is subscript) - a(n-1) (also subscript). Let's use 13 and 7. 13-7 is 6. So, plugging these in, the formula for the nth term is an=6(n-1)+7. Term 4 is a4=6(4-1)+7, which is 6(3)+7, 18+7, which is 25. This we already know. So, it is true. A geometric sequence is where a1= first term (again, subscript 1) and r = common ratio (a(n)/a(n-1)). The formula for this is an = a1*r^(n-1). Let's use the sequence 3, 9, 27. . . Common ratio is 3, and the first term is 3. So the formula is (an = 3*3^(n-1)). The 3rd term is (a3=3*3^(3-1)). That's 3*3^2, 3*9, 27. We already knew that, so it's true. I'm guessing that arithmetic and geometric mean are similar to those.
EDIT: Wow, I'm sorry. I didn't mean to make the comment that long. Sorry.(15 votes)
- If two numbers are the most common in a set ( example: 1,2,3,3,4,5,6,6,7), what would be the mode?(8 votes)
- A data set can have more than one mode. Unlike the mean, the mode is not necessarily unique. Your example is "bimodal" - it has two modes: 3 and 6.(19 votes)
- How would you use average in real life?(5 votes)
- There are countless applications. I'll give some examples. The normal body temperature is 98.6 degrees Fahrenheit. How was this exact temperature chosen?This number was given by a German doctor Carl Reinhold August Wunderlich, after examining millions of readings taken from 25,000 German patients and taking their average. The mileage of automobiles is calculated by finding the average volume of fuel consumed by the automobile. Each and every science experiment done in the lab involves calculation of the average reading after repeating the experiment many times, so that error is minimized. In fact, calculating the average is one of the most essential mathematical skills. One would need this knowledge regardless of which field he/she works in.(14 votes)
- What if the numbers are 1,3,5,6,7,8,23,42,76,83,93 how do you find the median(7 votes)
- There are 11 numbers in your dataset. Which number has 5 numbers on each side? That's the median, because it's the number in the middle.(2 votes)
- Does anyone know an easy way (such as a song or rhyme) to memorize what mean, median, and mode are?(4 votes)
- There's this : https://www.youtube.com/watch?v=OvknMsRhGvg
Or you can try this one I made up:
The mode is the first one to be seen,
Occurring the most, there is nowhere it can hide,
While the median lies in between,
With the same number of numbers to either side,
Finally the mean. The mean is mean!
You have to add up all the numbers, then divide.(6 votes)
- Could someone tell me the answer:
What is the Median, Mode, and Mean?
Data Set: 500,332,343,593,1004,332,593,593
Could someone also explain how its done?(2 votes)
- Mean is to average out the numbers normally, so you would take 500+332+343+593+1004+332+593+593 = 4290
Then you divide this number by how many numbers you added, i.e: 4290/8 = 436.25. This is the mean of all these numbers.
To find the median, you arrange all the numbers in ascending order, 332,332,343,500,593,593,593,1004. Then you take the middle number(s), i.e: 500 and 593 and now find the mean of these numbers (500+593 = 1093), then (1093/2 = 546.5), hence, the median of these numbers is 546.5.
To find the mode, you have to find the most occurring number in a set of numbers. So in 500,332,343,593,1004,332,593 and 593, the number 593 occurs 3 times and is the most occurring number in the this set of numbers, hence 593 is the mode of these numbers(7 votes)
- At4:01Sal said that you would have to do all the number over 6. Why?(7 votes)
We will now begin our journey into the world of statistics, which is really a way to understand or get our head around data. So statistics is all about data. And as we begin our journey into the world of statistics, we will be doing a lot of what we can call descriptive statistics. So if we have a bunch of data, and if we want to tell something about all of that data without giving them all of the data, can we somehow describe it with a smaller set of numbers? So that's what we're going to focus on. And then once we build our toolkit on the descriptive statistics, then we can start to make inferences about that data, start to make conclusions, start to make judgments. And we'll start to do a lot of inferential statistics, make inferences. So with that out of the way, let's think about how we can describe data. So let's say we have a set of numbers. We can consider this to be data. Maybe we're measuring the heights of our plants in our garden. And let's say we have six plants. And the heights are 4 inches, 3 inches, 1 inch, 6 inches, and another one's 1 inch, and another one is 7 inches. And let's say someone just said-- in another room, not looking at your plants, just said, well, you know, how tall are your plants? And they only want to hear one number. They want to somehow have one number that represents all of these different heights of plants. How would you do that? Well, you'd say, well, how can I find something that-- maybe I want a typical number. Maybe I want some number that somehow represents the middle. Maybe I want the most frequent number. Maybe I want the number that somehow represents the center of all of these numbers. And if you said any of those things, you would actually have done the same things that the people who first came up with descriptive statistics said. They said, well, how can we do it? And we'll start by thinking of the idea of average. And in every day terminology, average has a very particular meaning, as we'll see. When many people talk about average, they're talking about the arithmetic mean, which we'll see shortly. But in statistics, average means something more general. It really means give me a typical, or give me a middle number, or-- and these are or's. And really it's an attempt to find a measure of central tendency. So once again, you have a bunch of numbers. You're somehow trying to represent these with one number we'll call the average, that's somehow typical, or middle, or the center somehow of these numbers. And as we'll see, there's many types of averages. The first is the one that you're probably most familiar with. It's the one-- and people talk about hey, the average on this exam or the average height. And that's the arithmetic mean. Just let me write it in. I'll write in yellow, arithmetic mean. When arithmetic is a noun, we call it arithmetic. When it's an adjective like this, we call it arithmetic, arithmetic mean. And this is really just the sum of all the numbers divided by-- this is a human-constructed definition that we've found useful-- the sum of all these numbers divided by the number of numbers we have. So given that, what is the arithmetic mean of this data set? Well, let's just compute it. It's going to be 4 plus 3 plus 1 plus 6 plus 1 plus 7 over the number of data points we have. So we have six data points. So we're going to divide by 6. And we get 4 plus 3 is 7, plus 1 is 8, plus 6 is 14, plus 1 is 15, plus 7. 15 plus 7 is 22. Let me do that one more time. You have 7, 8, 14, 15, 22, all of that over 6. And we could write this as a mixed number. 6 goes into 22 three times with a remainder of 4. So it's 3 and 4/6, which is the same thing as 3 and 2/3. We could write this as a decimal with 3.6 repeating. So this is also 3.6 repeating. We could write it any one of those ways. But this is kind of a representative number. This is trying to get at a central tendency. Once again, these are human-constructed. No one ever-- it's not like someone just found some religious document that said, this is the way that the arithmetic mean must be defined. It's not as pure of a computation as, say, finding the circumference of the circle, which there really is-- that was kind of-- we studied the universe. And that just fell out of our study of the universe. It's a human-constructed definition that we found useful. Now there are other ways to measure the average or find a typical or middle value. The other very typical way is the median. And I will write median. I'm running out of colors. I will write median in pink. So there is the median. And the median is literally looking for the middle number. So if you were to order all the numbers in your set and find the middle one, then that is your median. So given that, what's the median of this set of numbers going to be? Let's try to figure it out. Let's try to order it. So we have 1. Then we have another 1. Then we have a 3. Then we have a 4, a 6, and a 7. So all I did is I reordered this. And so what's the middle number? Well, you look here. Since we have an even number of numbers, we have six numbers, there's not one middle number. You actually have two middle numbers here. You have two middle numbers right over here. You have the 3 and the 4. And in this case, when you have two middle numbers, you actually go halfway between these two numbers. You're essentially taking the arithmetic mean of these two numbers to find the median. So the median is going to be halfway in-between 3 and 4, which is going to be 3.5. So the median in this case is 3.5. So if you have an even number of numbers, the median or the middle two, the-- essentially the arithmetic mean of the middle two, or halfway between the middle two. If you have an odd number of numbers, it's a little bit easier to compute. And just so that we see that, let me give you another data set. Let's say our data set-- and I'll order it for us-- let's say our data set was 0, 7, 50, I don't know, 10,000, and 1 million. Let's say that is our data set. Kind of a crazy data set. But in this situation, what is our median? Well, here we have five numbers. We have an odd number of numbers. So it's easier to pick out a middle. The middle is the number that is greater than two of the numbers and is less than two of the numbers. It's exactly in the middle. So in this case, our median is 50. Now, the third measure of central tendency, and this is the one that's probably used least often in life, is the mode. And people often forget about it. It sounds like something very complex. But what we'll see is it's actually a very straightforward idea. And in some ways, it is the most basic idea. So the mode is actually the most common number in a data set, if there is a most common number. If all of the numbers are represented equally, if there's no one single most common number, then you have no mode. But given that definition of the mode, what is the single most common number in our original data set, in this data set right over here? Well, we only have one 4. We only have one 3. But we have two 1's. We have one 6 and one 7. So the number that shows up the most number of times here is our 1. So the mode, the most typical number, the most common number here is a 1. So, you see, these are all different ways of trying to get at a typical, or middle, or central tendency. But they do it in very, very different ways. And as we study more and more statistics, we'll see that they're good for different things. This is used very frequently. The median is really good if you have some kind of crazy number out here that could have otherwise skewed the arithmetic mean. The mode could also be useful in situations like that, especially if you do have one number that's showing up a lot more frequently. Anyway, I'll leave you there. And we'll-- the next few videos, we will explore statistics even deeper.