Permutations and Combinations 1 (Counting principle) - Free Educational videos for Students in K-12 | Lumos Learning

Permutations and Combinations 1 (Counting principle) - Free Educational videos for Students in k-12


Permutations and Combinations 1 (Counting principle) - By tecmath



Transcript
00:0-1 Good day , Welcome to Tech Math channel . What
00:01 we're going to be having a look at in this
00:02 video is the counting principle and this is a way
00:06 of counting up various combinations really , really quickly .
00:09 So this is the start of a series of videos
00:11 . We're going to be looking at combinations and permutations
00:15 , which is pretty much a nice mathematical way of
00:17 saying , working on a number of different ways that
00:20 things can be arranged . For instance , how many
00:22 different ways , how many different combinations could you have
00:24 in a combination lock or how many different ways could
00:28 lotto numbers come out ? Or this one for instance
00:30 , say I had four books here , 1234 books
00:36 . And I was thinking to myself , how many
00:38 different ways can I arrange these on the bookshelves ?
00:40 So instant for instance , I could put them in
00:42 this order . The blue , black , red or
00:44 green or I could put them blue , black ,
00:47 green or red or I'm gonna take the red one
00:50 first and then the black one and then the green
00:53 one and then the blue one . And you might
00:56 then think to yourself , well how many different combinations
00:58 could you have ? And this is what this combinations
01:01 and permutations start to look at . And more specifically
01:03 today , this is what this counting principle will be
01:06 looking at . Okay , and we're going to be
01:08 using this in some later parts of what we're going
01:10 to be doing . So we're going to explain this
01:12 by going through an example and we just start by
01:14 imagining I'm choosing my outfit for the day . So
01:18 anyway I'll look in the cupboard and the first thing
01:20 I look down at is my shoes and I'm trying
01:23 to decide what shoes I have to wear . I
01:25 have black shoes and I have issues . Okay .
01:29 And then the next thing I'm gonna decide is what
01:31 color pants I'm gonna wear for that day . And
01:34 because I'm a funky sort of guy , I have
01:37 green pants and I also have orange pants . And
01:41 then the next thing and decide is what shirt I'm
01:45 going to wear . Okay , so I think to
01:47 myself , I have a red shirt , I have
01:51 a blue shirt and I also have a black shirt
01:55 . And so how many different combinations of outfits ?
01:58 How many different combinations of clothes can I wear out
02:01 of these shoes , pants and shirt combinations could I
02:04 make out of that ? So this is where we
02:07 use this counting principle to work out . But first
02:10 of what we're gonna do is we're gonna draw up
02:11 a tree diagram . Now a tree diagram pretty much
02:14 lists up all the different combinations that are possible .
02:17 So we look at all the different decisions that we
02:20 make . So the first decision we make is what
02:22 shoes I'm going to wear now , we could either
02:24 choose that . Are we wearing black or I'd be
02:27 wearing blue . So we have a different branch goes
02:30 off to each of those . The next thing we
02:32 decide is what color pants . So so for each
02:36 of these I might then decide I'm gonna wear either
02:40 green . So this one I could I could wear
02:42 black and then black shoes and then green pants or
02:45 blue shoes and then green pants . Or I could
02:48 use wear orange pants with either of these decisions .
02:54 The third thing I then do is look at shirts
02:56 , I could wear three different color shirts for all
02:59 of these . Yeah , so I could wear a
03:01 red shirt , Okay . Or I could wear you
03:04 guessed it blue or I could wear black . And
03:08 so what this tree diagram subject that lists off all
03:10 the combinations and what you'll see is if you count
03:12 the ends of the branches here , you see how
03:14 many different combinations we have . We have 123456789 10
03:20 11 , 12 combinations , 12 different combinations of outfits
03:25 I could wear . You're thinking to yourself , that's
03:28 that's pretty handy dandy . And you you look pretty
03:30 funky if you are very were various ones , but
03:34 you might then think is there a faster way doing
03:36 that without drawing out this tea tree diagram ? And
03:39 there is . And I'm gonna show you how to
03:41 do that because I have two pairs of shoes ,
03:43 two pairs of pants and three shirts . And a
03:47 very simple way of doing that is if I just
03:49 multiply these through two Times two is 4 times three
03:55 equals 12 . So say for instance , I are
03:58 very this up and all of a sudden now I
04:01 have six pairs of shoes , I have seven pairs
04:04 of pants and I have 12 pairs of shirts to
04:06 choose from . How would I go about rather than
04:08 drawing one of those tree diagrams which would take ages
04:10 and to be honest about it be rather squishy and
04:12 not very fun to draw . How would I go
04:14 about doing this ? Well , I just multiply this
04:17 through . So how many different outfits could I have
04:19 ? six Times seven times 12 . Okay . So
04:24 that multiplied together . May I have 502 different combinations
04:31 of clothing I could wear . Okay , so that's
04:35 a really , really easy way of doing this .
04:37 Um And I could write out a rule for that
04:38 . But I think you really probably just get that
04:40 . You just get your number of different combinations and
04:42 then you multiply . So what about you try some
04:44 ? So what about we have a menu ? Okay
04:46 you're going to restaurant . We have a menu .
04:48 And on this menu we have entrees and there are
04:52 four of these and then after the entrees you have
04:56 the Mains and on the main course there are 10
05:00 different main course dishes . And then on the desserts
05:05 we have three different types of desserts . And I
05:08 could ask you then how many different three course dinner
05:12 combinations could you make off this ? So I'll get
05:14 you to work it out . I reckon you need
05:16 probably I reckon you should have already worked it out
05:18 because I know you're all greater multiplying and I think
05:21 what you do is you go for Times 10 is
05:25 40 times three . Okay that's going to be 120
05:30 different combinations . Mhm . Okay . A bit of
05:34 a harder example now . So say we have a
05:36 lot of um where we have six numbers , so
05:39 six numbers and I'll draw them here . 123456 numbers
05:45 . And they get chosen from one balls numbered from
05:50 1 to 45 . Okay . And now I want
05:54 to know is how many different combinations do we have
05:57 here ? So this is a bit of a harder
05:59 one . And the way that we do this is
06:02 as follows . So I've got the slots here and
06:04 this is a really good thing to draw the start
06:05 . There's six different balls were choosing , I've drawn
06:08 six different slots , so there's gonna be 56 different
06:11 things were multiplying for the first slot here . The
06:13 first ball we choose out . Okay , we have
06:16 45 balls . 1 45 . You might think to
06:18 yourself well of the first ball we choose out .
06:20 We have 45 possibilities anywhere from 1 to 45 that
06:24 we choose for . The second ball . We choose
06:27 out . How many possibilities do we have ? Well
06:30 , one of these balls has been chosen out now
06:32 , so we only have 44 balls left . So
06:36 There'll be 44 different possibilities . Okay , What about
06:42 the next 1 ? Will have 43 possibilities . The
06:47 next one had 41 possibility because the ball is gone
06:50 . And then because that ball is going down the
06:51 next one , we have 40 possibilities . So how
06:53 many different combinations do we have ? And so you
06:58 might look at this thing . Okay , Okay .
07:01 How we work that out ? We're gonna multiply that's
07:02 a lot of numbers to multiply . We have the
07:04 number of 5,864 million 443 1002 100 combinations . So
07:18 one other one and this one , it's a bit
07:21 more of where I come from . I come from
07:22 victoria in Australia . And we have , well until
07:25 very recently we used to have license plates that were
07:27 like this , we would have three letters letter letter
07:33 letter and it was followed by three numbers . And
07:37 I've been in different places around the world and I've
07:40 seen that everyone has different types of our license plates
07:42 but this is the ones we have and you can
07:44 work this one out for your own license place where
07:46 you're from . So I want to know how many
07:49 different combinations we have that we could have here .
07:51 I mean obviously it's gonna be affected a bit .
07:53 Um they don't like to have rude words and that
07:55 sort of deal on license plates but we're not gonna
07:57 take that into consideration . You know we're not gonna
07:59 have P . 00 And poo or anything like that
08:02 . So how many different combinations license plates can we
08:05 have ? So you want things to yourself ? Okay
08:08 the first one , they could choose any letter .
08:10 There's 26 letters in the Alphabet . So there's 26
08:13 possibilities for that first letter . And then the next
08:16 one they could choose once again any letter because there's
08:19 still 26 letters . You could have a and then
08:21 you can have another a . So we're not worried
08:23 about repeats here . And then the next one ,
08:25 you can also choose 26 Letters and 26 letters .
08:29 Their numbers we have 0123456789 . That's 10 different possibilities
08:35 . 10 different and 10 different from the next ones
08:38 . So how do we work out ? How do
08:40 we count up all these combinations really quickly ? Well
08:43 we multiply them through . So 26 times 26 times
08:47 , 26 times 10 times 10 times 10 . And
08:50 the answer to this is there is 17,576 1000 combinations
08:59 . So you can work that out on a license
09:01 plate where you're from . Ok . And however they
09:03 work them out because they do vary . Uh huh
09:07 . But I'm just going to finish with one last
09:09 thing on this . Which is this idea to say
09:12 . What about it ? We're worried about a license
09:14 plate where we couldn't repeat any letters or numbers .
09:20 Okay . Every letter and number has to be unique
09:23 . How would you work that out differently ? It's
09:25 not a huge thing to do . Mhm Because of
09:28 the first number of letters that came out , you
09:30 would have 26 Now say it was any number one
09:34 of those letters that you took out , it would
09:36 only leave 25 letters For the next possibility and the
09:40 next one because now you've got rid of these two
09:42 would only lead 24 possibilities . Okay , so for
09:46 the numbers we have tend to start off with and
09:48 you guessed that the next one , we would only
09:50 have nine , the next one would only have a
09:53 and to work here . The number of combinations if
09:56 no repeats were available . So Would be to send
10:00 to multiply there and so you see that slight variance
10:02 there and that takes it down from 17 million to
10:06 11 million , 232,000 combinations . Anyway . Hopefully you
10:15 found this video informative . Um it's fairly intuitive ,
10:18 I find a lot of this stuff , but it
10:21 will get a little bit harder when we start to
10:23 get into the harder combinations and permutations . And I'm
10:26 sure some people are going to come out with some
10:27 really gnarly sort of uh comments and questions . So
10:32 anyway , hope you found that good . See you
10:34 next time . Bye .
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Permutations and Combinations 1 (Counting principle) is a free educational video by tecmath.

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