Understanding Conditional Probability (Math is Fun)

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I have trouble understanding a simple concept from Math is Fun.



STATEMENT: 70% of your friends like Chocolate, and 35% like Chocolate AND like Strawberry. What percent of those who like Chocolate also like Strawberry?



SOLUTION: P(Strawberry|Chocolate) = P(Chocolate and Strawberry) / P(Chocolate)



0.35 / 0.7 = 50% . Hence 50% of your friends who like Chocolate also like Strawberry



WHAT I CAN'T UNDERSTAND: What is the difference between the statements that "35% of friends like both Chocolate and Strawberry" and "friends who like Chocolate also like Strawberry". Just a play of words, practically they seem exact same to me. Am I missing something ?










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    up vote
    5
    down vote

    favorite












    I have trouble understanding a simple concept from Math is Fun.



    STATEMENT: 70% of your friends like Chocolate, and 35% like Chocolate AND like Strawberry. What percent of those who like Chocolate also like Strawberry?



    SOLUTION: P(Strawberry|Chocolate) = P(Chocolate and Strawberry) / P(Chocolate)



    0.35 / 0.7 = 50% . Hence 50% of your friends who like Chocolate also like Strawberry



    WHAT I CAN'T UNDERSTAND: What is the difference between the statements that "35% of friends like both Chocolate and Strawberry" and "friends who like Chocolate also like Strawberry". Just a play of words, practically they seem exact same to me. Am I missing something ?










    share|cite|improve this question























      up vote
      5
      down vote

      favorite









      up vote
      5
      down vote

      favorite











      I have trouble understanding a simple concept from Math is Fun.



      STATEMENT: 70% of your friends like Chocolate, and 35% like Chocolate AND like Strawberry. What percent of those who like Chocolate also like Strawberry?



      SOLUTION: P(Strawberry|Chocolate) = P(Chocolate and Strawberry) / P(Chocolate)



      0.35 / 0.7 = 50% . Hence 50% of your friends who like Chocolate also like Strawberry



      WHAT I CAN'T UNDERSTAND: What is the difference between the statements that "35% of friends like both Chocolate and Strawberry" and "friends who like Chocolate also like Strawberry". Just a play of words, practically they seem exact same to me. Am I missing something ?










      share|cite|improve this question













      I have trouble understanding a simple concept from Math is Fun.



      STATEMENT: 70% of your friends like Chocolate, and 35% like Chocolate AND like Strawberry. What percent of those who like Chocolate also like Strawberry?



      SOLUTION: P(Strawberry|Chocolate) = P(Chocolate and Strawberry) / P(Chocolate)



      0.35 / 0.7 = 50% . Hence 50% of your friends who like Chocolate also like Strawberry



      WHAT I CAN'T UNDERSTAND: What is the difference between the statements that "35% of friends like both Chocolate and Strawberry" and "friends who like Chocolate also like Strawberry". Just a play of words, practically they seem exact same to me. Am I missing something ?







      probability






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      asked 3 hours ago









      Arnuld

      11211




      11211




















          3 Answers
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          The small difference in the words implies a difference in the denominator in the calculation, while the numerator stays the same.



          Suppose you in fact have $20$ friends of whom $14$ like Chocolate, and of these $7$ like Chocolate and Strawberry.



          • The proportion of all your friends who like both is $dfrac720=35%$

          • The proportion of your Chocolate-liking friends who also like Strawberry is $dfrac714=50%$

          This second calculation is equivalent to $frac7/2014/20 = frac35%70%$, and you would get the same percentage result if you in fact have $100$ or $2000$ friends






          share|cite|improve this answer



























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            The difference is in what comes before.



            For chocolate and strawberry the question is explicitly looking at everyone, and then within them, who likes both.



            The second bit; those who like chocolate also like strawberry, means that you are looking at a smaller group to begin with. You look at those who like chocolate, and within that smaller group find those who like both.



            Obviously those who like chocolate who also like strawberry are in the group of those who like chocolate and strawberry. So you're right in saying that they mean the same thing - to an extent. It just changes how you view the "population".






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            • Let me know if that doesn't make any sense and I'll try and reword
              – MRobinson
              2 hours ago

















            up vote
            0
            down vote













            I think there is a confusion about $measures$:



            we do not discuss the $share$ or number of people in the population, we discuss another measure, called $probability$, which sometimes can be viewed as a share or proportion, but not necessarily. In your case $70 %$ means 'pick a person from the population, what's the chance he likes chocolate' and $50 %$ means 'pick a person from the population, what's the chance he likes chocolate'.



            $35 %$ means 'pick a person from the group of people that like chocolate (subset of the population), what's the chance he likes the strawberry'. So you restrict the $selection$ to a subset of the population. Therefore it is not an absolute number that matters, but a 'chance to observe an effect', not by examining the whole population, but a subset thereof.






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              3 Answers
              3






              active

              oldest

              votes








              3 Answers
              3






              active

              oldest

              votes









              active

              oldest

              votes






              active

              oldest

              votes








              up vote
              3
              down vote













              The small difference in the words implies a difference in the denominator in the calculation, while the numerator stays the same.



              Suppose you in fact have $20$ friends of whom $14$ like Chocolate, and of these $7$ like Chocolate and Strawberry.



              • The proportion of all your friends who like both is $dfrac720=35%$

              • The proportion of your Chocolate-liking friends who also like Strawberry is $dfrac714=50%$

              This second calculation is equivalent to $frac7/2014/20 = frac35%70%$, and you would get the same percentage result if you in fact have $100$ or $2000$ friends






              share|cite|improve this answer
























                up vote
                3
                down vote













                The small difference in the words implies a difference in the denominator in the calculation, while the numerator stays the same.



                Suppose you in fact have $20$ friends of whom $14$ like Chocolate, and of these $7$ like Chocolate and Strawberry.



                • The proportion of all your friends who like both is $dfrac720=35%$

                • The proportion of your Chocolate-liking friends who also like Strawberry is $dfrac714=50%$

                This second calculation is equivalent to $frac7/2014/20 = frac35%70%$, and you would get the same percentage result if you in fact have $100$ or $2000$ friends






                share|cite|improve this answer






















                  up vote
                  3
                  down vote










                  up vote
                  3
                  down vote









                  The small difference in the words implies a difference in the denominator in the calculation, while the numerator stays the same.



                  Suppose you in fact have $20$ friends of whom $14$ like Chocolate, and of these $7$ like Chocolate and Strawberry.



                  • The proportion of all your friends who like both is $dfrac720=35%$

                  • The proportion of your Chocolate-liking friends who also like Strawberry is $dfrac714=50%$

                  This second calculation is equivalent to $frac7/2014/20 = frac35%70%$, and you would get the same percentage result if you in fact have $100$ or $2000$ friends






                  share|cite|improve this answer












                  The small difference in the words implies a difference in the denominator in the calculation, while the numerator stays the same.



                  Suppose you in fact have $20$ friends of whom $14$ like Chocolate, and of these $7$ like Chocolate and Strawberry.



                  • The proportion of all your friends who like both is $dfrac720=35%$

                  • The proportion of your Chocolate-liking friends who also like Strawberry is $dfrac714=50%$

                  This second calculation is equivalent to $frac7/2014/20 = frac35%70%$, and you would get the same percentage result if you in fact have $100$ or $2000$ friends







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered 2 hours ago









                  Henry

                  94.6k473151




                  94.6k473151




















                      up vote
                      0
                      down vote













                      The difference is in what comes before.



                      For chocolate and strawberry the question is explicitly looking at everyone, and then within them, who likes both.



                      The second bit; those who like chocolate also like strawberry, means that you are looking at a smaller group to begin with. You look at those who like chocolate, and within that smaller group find those who like both.



                      Obviously those who like chocolate who also like strawberry are in the group of those who like chocolate and strawberry. So you're right in saying that they mean the same thing - to an extent. It just changes how you view the "population".






                      share|cite|improve this answer




















                      • Let me know if that doesn't make any sense and I'll try and reword
                        – MRobinson
                        2 hours ago














                      up vote
                      0
                      down vote













                      The difference is in what comes before.



                      For chocolate and strawberry the question is explicitly looking at everyone, and then within them, who likes both.



                      The second bit; those who like chocolate also like strawberry, means that you are looking at a smaller group to begin with. You look at those who like chocolate, and within that smaller group find those who like both.



                      Obviously those who like chocolate who also like strawberry are in the group of those who like chocolate and strawberry. So you're right in saying that they mean the same thing - to an extent. It just changes how you view the "population".






                      share|cite|improve this answer




















                      • Let me know if that doesn't make any sense and I'll try and reword
                        – MRobinson
                        2 hours ago












                      up vote
                      0
                      down vote










                      up vote
                      0
                      down vote









                      The difference is in what comes before.



                      For chocolate and strawberry the question is explicitly looking at everyone, and then within them, who likes both.



                      The second bit; those who like chocolate also like strawberry, means that you are looking at a smaller group to begin with. You look at those who like chocolate, and within that smaller group find those who like both.



                      Obviously those who like chocolate who also like strawberry are in the group of those who like chocolate and strawberry. So you're right in saying that they mean the same thing - to an extent. It just changes how you view the "population".






                      share|cite|improve this answer












                      The difference is in what comes before.



                      For chocolate and strawberry the question is explicitly looking at everyone, and then within them, who likes both.



                      The second bit; those who like chocolate also like strawberry, means that you are looking at a smaller group to begin with. You look at those who like chocolate, and within that smaller group find those who like both.



                      Obviously those who like chocolate who also like strawberry are in the group of those who like chocolate and strawberry. So you're right in saying that they mean the same thing - to an extent. It just changes how you view the "population".







                      share|cite|improve this answer












                      share|cite|improve this answer



                      share|cite|improve this answer










                      answered 2 hours ago









                      MRobinson

                      1,04518




                      1,04518











                      • Let me know if that doesn't make any sense and I'll try and reword
                        – MRobinson
                        2 hours ago
















                      • Let me know if that doesn't make any sense and I'll try and reword
                        – MRobinson
                        2 hours ago















                      Let me know if that doesn't make any sense and I'll try and reword
                      – MRobinson
                      2 hours ago




                      Let me know if that doesn't make any sense and I'll try and reword
                      – MRobinson
                      2 hours ago










                      up vote
                      0
                      down vote













                      I think there is a confusion about $measures$:



                      we do not discuss the $share$ or number of people in the population, we discuss another measure, called $probability$, which sometimes can be viewed as a share or proportion, but not necessarily. In your case $70 %$ means 'pick a person from the population, what's the chance he likes chocolate' and $50 %$ means 'pick a person from the population, what's the chance he likes chocolate'.



                      $35 %$ means 'pick a person from the group of people that like chocolate (subset of the population), what's the chance he likes the strawberry'. So you restrict the $selection$ to a subset of the population. Therefore it is not an absolute number that matters, but a 'chance to observe an effect', not by examining the whole population, but a subset thereof.






                      share|cite|improve this answer
























                        up vote
                        0
                        down vote













                        I think there is a confusion about $measures$:



                        we do not discuss the $share$ or number of people in the population, we discuss another measure, called $probability$, which sometimes can be viewed as a share or proportion, but not necessarily. In your case $70 %$ means 'pick a person from the population, what's the chance he likes chocolate' and $50 %$ means 'pick a person from the population, what's the chance he likes chocolate'.



                        $35 %$ means 'pick a person from the group of people that like chocolate (subset of the population), what's the chance he likes the strawberry'. So you restrict the $selection$ to a subset of the population. Therefore it is not an absolute number that matters, but a 'chance to observe an effect', not by examining the whole population, but a subset thereof.






                        share|cite|improve this answer






















                          up vote
                          0
                          down vote










                          up vote
                          0
                          down vote









                          I think there is a confusion about $measures$:



                          we do not discuss the $share$ or number of people in the population, we discuss another measure, called $probability$, which sometimes can be viewed as a share or proportion, but not necessarily. In your case $70 %$ means 'pick a person from the population, what's the chance he likes chocolate' and $50 %$ means 'pick a person from the population, what's the chance he likes chocolate'.



                          $35 %$ means 'pick a person from the group of people that like chocolate (subset of the population), what's the chance he likes the strawberry'. So you restrict the $selection$ to a subset of the population. Therefore it is not an absolute number that matters, but a 'chance to observe an effect', not by examining the whole population, but a subset thereof.






                          share|cite|improve this answer












                          I think there is a confusion about $measures$:



                          we do not discuss the $share$ or number of people in the population, we discuss another measure, called $probability$, which sometimes can be viewed as a share or proportion, but not necessarily. In your case $70 %$ means 'pick a person from the population, what's the chance he likes chocolate' and $50 %$ means 'pick a person from the population, what's the chance he likes chocolate'.



                          $35 %$ means 'pick a person from the group of people that like chocolate (subset of the population), what's the chance he likes the strawberry'. So you restrict the $selection$ to a subset of the population. Therefore it is not an absolute number that matters, but a 'chance to observe an effect', not by examining the whole population, but a subset thereof.







                          share|cite|improve this answer












                          share|cite|improve this answer



                          share|cite|improve this answer










                          answered 22 mins ago









                          Alex

                          14k42032




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