Right-skewed distribution with mean equals to mode? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)CDFs for Right-Skewed DistributionsDistributions with Median=Mode=Average?Skewness - why is this distribution right skewed?Compute mode of distributionWhy not take the mode of a bootstrap distribution?Does mean=mode imply a symmetric distribution?Bounding the distance between the mean and the mode of a unimodal distributionCounterexamples where Median is outside [Mode-Mean]R glmer: distribution for strongly right skewed dataHow to generate a skewed bell curve distribution function with known min, max, and mode

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Right-skewed distribution with mean equals to mode?



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)CDFs for Right-Skewed DistributionsDistributions with Median=Mode=Average?Skewness - why is this distribution right skewed?Compute mode of distributionWhy not take the mode of a bootstrap distribution?Does mean=mode imply a symmetric distribution?Bounding the distance between the mean and the mode of a unimodal distributionCounterexamples where Median is outside [Mode-Mean]R glmer: distribution for strongly right skewed dataHow to generate a skewed bell curve distribution function with known min, max, and mode



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4












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Is it possible to have a right-skewed distribution with mean equal to mode? If so, could you give me some example?










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    4












    $begingroup$


    Is it possible to have a right-skewed distribution with mean equal to mode? If so, could you give me some example?










    share|cite|improve this question









    New contributor




    Don Tawanpitak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$














      4












      4








      4





      $begingroup$


      Is it possible to have a right-skewed distribution with mean equal to mode? If so, could you give me some example?










      share|cite|improve this question









      New contributor




      Don Tawanpitak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      Is it possible to have a right-skewed distribution with mean equal to mode? If so, could you give me some example?







      distributions mean skewness mode






      share|cite|improve this question









      New contributor




      Don Tawanpitak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|cite|improve this question









      New contributor




      Don Tawanpitak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|cite|improve this question




      share|cite|improve this question








      edited 2 hours ago









      Nick Cox

      39.3k588131




      39.3k588131






      New contributor




      Don Tawanpitak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 4 hours ago









      Don TawanpitakDon Tawanpitak

      213




      213




      New contributor




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      New contributor





      Don Tawanpitak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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      Check out our Code of Conduct.




















          2 Answers
          2






          active

          oldest

          votes


















          5












          $begingroup$

          Easy examples come from binomial distributions -- which can hardly be dismissed as pathological or as bizarre counter-examples constructed ad hoc. Here is one for 10 trials and probability of success 0.1. Then the mean is 10 $times$ 0.1 = 1, and 1 also is the mode (and for a bonus the median too), but the distribution is manifestly right skewed.



          The code giving the number of successes 0 to 10 and their probabilities 0.348678... and so forth is Mata code from Stata, but your favourite statistical platform should be able to do it. (If not, you need a new favourite.)



          : (0::10), binomialp(10, (0::10), 0.1)
          1 2
          +-----------------------------+
          1 | 0 .3486784401 |
          2 | 1 .387420489 |
          3 | 2 .1937102445 |
          4 | 3 .057395628 |
          5 | 4 .011160261 |
          6 | 5 .0014880348 |
          7 | 6 .000137781 |
          8 | 7 8.74800e-06 |
          9 | 8 3.64500e-07 |
          10 | 9 9.00000e-09 |
          11 | 10 1.00000e-10 |
          +-----------------------------+


          Among continuous distributions, the Weibull distribution can show equal mean and mode yet be right-skewed.






          share|cite|improve this answer











          $endgroup$












          • $begingroup$
            Thank you! This is absolutely helpful! I will also look into the Weibull distribution you mentioned.
            $endgroup$
            – Don Tawanpitak
            1 hour ago










          • $begingroup$
            By the way, do you know some other continuous distribution with finite support that can exhibit the same property?
            $endgroup$
            – Don Tawanpitak
            1 hour ago






          • 1




            $begingroup$
            @DonTawanpitak A quick numerical search for the Weibull only revealed one solution: $alpha = 3.3125, beta = 1$ where $alpha$ is the shape and $beta$ is the scale. The mode and mean are then $0.897186$. But this Weibull isn't terribly right skewed (its skewness is $0.074$).
            $endgroup$
            – COOLSerdash
            53 mins ago


















          3












          $begingroup$

          If the distribution is discrete, sure. It's easy. For example, a distribution with probability mass function




          • $P(X=0) = 0.36$


          • $P(X=1) = 0.40$


          • $P(X=2) = 0.13$


          • $P(X=3) = 0.10$


          • $P(X=4) = 0.01$

          is right (i.e. positively) skewed and has both a mean and a mode of 1.






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            Is this suggesting that discrete distributions, as opposed to continuous distributions are more likely to exhibit this property? There seems to be a strong argument for that.
            $endgroup$
            – Thomas Cleberg
            1 hour ago










          • $begingroup$
            No, I'm not suggesting that. I'm just saying it's easy to come up with an example (which is all the OP asked for) of a discrete distribution with that property.
            $endgroup$
            – beta1_equals_beta2
            1 hour ago











          Your Answer








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          2 Answers
          2






          active

          oldest

          votes








          2 Answers
          2






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          5












          $begingroup$

          Easy examples come from binomial distributions -- which can hardly be dismissed as pathological or as bizarre counter-examples constructed ad hoc. Here is one for 10 trials and probability of success 0.1. Then the mean is 10 $times$ 0.1 = 1, and 1 also is the mode (and for a bonus the median too), but the distribution is manifestly right skewed.



          The code giving the number of successes 0 to 10 and their probabilities 0.348678... and so forth is Mata code from Stata, but your favourite statistical platform should be able to do it. (If not, you need a new favourite.)



          : (0::10), binomialp(10, (0::10), 0.1)
          1 2
          +-----------------------------+
          1 | 0 .3486784401 |
          2 | 1 .387420489 |
          3 | 2 .1937102445 |
          4 | 3 .057395628 |
          5 | 4 .011160261 |
          6 | 5 .0014880348 |
          7 | 6 .000137781 |
          8 | 7 8.74800e-06 |
          9 | 8 3.64500e-07 |
          10 | 9 9.00000e-09 |
          11 | 10 1.00000e-10 |
          +-----------------------------+


          Among continuous distributions, the Weibull distribution can show equal mean and mode yet be right-skewed.






          share|cite|improve this answer











          $endgroup$












          • $begingroup$
            Thank you! This is absolutely helpful! I will also look into the Weibull distribution you mentioned.
            $endgroup$
            – Don Tawanpitak
            1 hour ago










          • $begingroup$
            By the way, do you know some other continuous distribution with finite support that can exhibit the same property?
            $endgroup$
            – Don Tawanpitak
            1 hour ago






          • 1




            $begingroup$
            @DonTawanpitak A quick numerical search for the Weibull only revealed one solution: $alpha = 3.3125, beta = 1$ where $alpha$ is the shape and $beta$ is the scale. The mode and mean are then $0.897186$. But this Weibull isn't terribly right skewed (its skewness is $0.074$).
            $endgroup$
            – COOLSerdash
            53 mins ago















          5












          $begingroup$

          Easy examples come from binomial distributions -- which can hardly be dismissed as pathological or as bizarre counter-examples constructed ad hoc. Here is one for 10 trials and probability of success 0.1. Then the mean is 10 $times$ 0.1 = 1, and 1 also is the mode (and for a bonus the median too), but the distribution is manifestly right skewed.



          The code giving the number of successes 0 to 10 and their probabilities 0.348678... and so forth is Mata code from Stata, but your favourite statistical platform should be able to do it. (If not, you need a new favourite.)



          : (0::10), binomialp(10, (0::10), 0.1)
          1 2
          +-----------------------------+
          1 | 0 .3486784401 |
          2 | 1 .387420489 |
          3 | 2 .1937102445 |
          4 | 3 .057395628 |
          5 | 4 .011160261 |
          6 | 5 .0014880348 |
          7 | 6 .000137781 |
          8 | 7 8.74800e-06 |
          9 | 8 3.64500e-07 |
          10 | 9 9.00000e-09 |
          11 | 10 1.00000e-10 |
          +-----------------------------+


          Among continuous distributions, the Weibull distribution can show equal mean and mode yet be right-skewed.






          share|cite|improve this answer











          $endgroup$












          • $begingroup$
            Thank you! This is absolutely helpful! I will also look into the Weibull distribution you mentioned.
            $endgroup$
            – Don Tawanpitak
            1 hour ago










          • $begingroup$
            By the way, do you know some other continuous distribution with finite support that can exhibit the same property?
            $endgroup$
            – Don Tawanpitak
            1 hour ago






          • 1




            $begingroup$
            @DonTawanpitak A quick numerical search for the Weibull only revealed one solution: $alpha = 3.3125, beta = 1$ where $alpha$ is the shape and $beta$ is the scale. The mode and mean are then $0.897186$. But this Weibull isn't terribly right skewed (its skewness is $0.074$).
            $endgroup$
            – COOLSerdash
            53 mins ago













          5












          5








          5





          $begingroup$

          Easy examples come from binomial distributions -- which can hardly be dismissed as pathological or as bizarre counter-examples constructed ad hoc. Here is one for 10 trials and probability of success 0.1. Then the mean is 10 $times$ 0.1 = 1, and 1 also is the mode (and for a bonus the median too), but the distribution is manifestly right skewed.



          The code giving the number of successes 0 to 10 and their probabilities 0.348678... and so forth is Mata code from Stata, but your favourite statistical platform should be able to do it. (If not, you need a new favourite.)



          : (0::10), binomialp(10, (0::10), 0.1)
          1 2
          +-----------------------------+
          1 | 0 .3486784401 |
          2 | 1 .387420489 |
          3 | 2 .1937102445 |
          4 | 3 .057395628 |
          5 | 4 .011160261 |
          6 | 5 .0014880348 |
          7 | 6 .000137781 |
          8 | 7 8.74800e-06 |
          9 | 8 3.64500e-07 |
          10 | 9 9.00000e-09 |
          11 | 10 1.00000e-10 |
          +-----------------------------+


          Among continuous distributions, the Weibull distribution can show equal mean and mode yet be right-skewed.






          share|cite|improve this answer











          $endgroup$



          Easy examples come from binomial distributions -- which can hardly be dismissed as pathological or as bizarre counter-examples constructed ad hoc. Here is one for 10 trials and probability of success 0.1. Then the mean is 10 $times$ 0.1 = 1, and 1 also is the mode (and for a bonus the median too), but the distribution is manifestly right skewed.



          The code giving the number of successes 0 to 10 and their probabilities 0.348678... and so forth is Mata code from Stata, but your favourite statistical platform should be able to do it. (If not, you need a new favourite.)



          : (0::10), binomialp(10, (0::10), 0.1)
          1 2
          +-----------------------------+
          1 | 0 .3486784401 |
          2 | 1 .387420489 |
          3 | 2 .1937102445 |
          4 | 3 .057395628 |
          5 | 4 .011160261 |
          6 | 5 .0014880348 |
          7 | 6 .000137781 |
          8 | 7 8.74800e-06 |
          9 | 8 3.64500e-07 |
          10 | 9 9.00000e-09 |
          11 | 10 1.00000e-10 |
          +-----------------------------+


          Among continuous distributions, the Weibull distribution can show equal mean and mode yet be right-skewed.







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited 2 hours ago

























          answered 2 hours ago









          Nick CoxNick Cox

          39.3k588131




          39.3k588131











          • $begingroup$
            Thank you! This is absolutely helpful! I will also look into the Weibull distribution you mentioned.
            $endgroup$
            – Don Tawanpitak
            1 hour ago










          • $begingroup$
            By the way, do you know some other continuous distribution with finite support that can exhibit the same property?
            $endgroup$
            – Don Tawanpitak
            1 hour ago






          • 1




            $begingroup$
            @DonTawanpitak A quick numerical search for the Weibull only revealed one solution: $alpha = 3.3125, beta = 1$ where $alpha$ is the shape and $beta$ is the scale. The mode and mean are then $0.897186$. But this Weibull isn't terribly right skewed (its skewness is $0.074$).
            $endgroup$
            – COOLSerdash
            53 mins ago
















          • $begingroup$
            Thank you! This is absolutely helpful! I will also look into the Weibull distribution you mentioned.
            $endgroup$
            – Don Tawanpitak
            1 hour ago










          • $begingroup$
            By the way, do you know some other continuous distribution with finite support that can exhibit the same property?
            $endgroup$
            – Don Tawanpitak
            1 hour ago






          • 1




            $begingroup$
            @DonTawanpitak A quick numerical search for the Weibull only revealed one solution: $alpha = 3.3125, beta = 1$ where $alpha$ is the shape and $beta$ is the scale. The mode and mean are then $0.897186$. But this Weibull isn't terribly right skewed (its skewness is $0.074$).
            $endgroup$
            – COOLSerdash
            53 mins ago















          $begingroup$
          Thank you! This is absolutely helpful! I will also look into the Weibull distribution you mentioned.
          $endgroup$
          – Don Tawanpitak
          1 hour ago




          $begingroup$
          Thank you! This is absolutely helpful! I will also look into the Weibull distribution you mentioned.
          $endgroup$
          – Don Tawanpitak
          1 hour ago












          $begingroup$
          By the way, do you know some other continuous distribution with finite support that can exhibit the same property?
          $endgroup$
          – Don Tawanpitak
          1 hour ago




          $begingroup$
          By the way, do you know some other continuous distribution with finite support that can exhibit the same property?
          $endgroup$
          – Don Tawanpitak
          1 hour ago




          1




          1




          $begingroup$
          @DonTawanpitak A quick numerical search for the Weibull only revealed one solution: $alpha = 3.3125, beta = 1$ where $alpha$ is the shape and $beta$ is the scale. The mode and mean are then $0.897186$. But this Weibull isn't terribly right skewed (its skewness is $0.074$).
          $endgroup$
          – COOLSerdash
          53 mins ago




          $begingroup$
          @DonTawanpitak A quick numerical search for the Weibull only revealed one solution: $alpha = 3.3125, beta = 1$ where $alpha$ is the shape and $beta$ is the scale. The mode and mean are then $0.897186$. But this Weibull isn't terribly right skewed (its skewness is $0.074$).
          $endgroup$
          – COOLSerdash
          53 mins ago













          3












          $begingroup$

          If the distribution is discrete, sure. It's easy. For example, a distribution with probability mass function




          • $P(X=0) = 0.36$


          • $P(X=1) = 0.40$


          • $P(X=2) = 0.13$


          • $P(X=3) = 0.10$


          • $P(X=4) = 0.01$

          is right (i.e. positively) skewed and has both a mean and a mode of 1.






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            Is this suggesting that discrete distributions, as opposed to continuous distributions are more likely to exhibit this property? There seems to be a strong argument for that.
            $endgroup$
            – Thomas Cleberg
            1 hour ago










          • $begingroup$
            No, I'm not suggesting that. I'm just saying it's easy to come up with an example (which is all the OP asked for) of a discrete distribution with that property.
            $endgroup$
            – beta1_equals_beta2
            1 hour ago















          3












          $begingroup$

          If the distribution is discrete, sure. It's easy. For example, a distribution with probability mass function




          • $P(X=0) = 0.36$


          • $P(X=1) = 0.40$


          • $P(X=2) = 0.13$


          • $P(X=3) = 0.10$


          • $P(X=4) = 0.01$

          is right (i.e. positively) skewed and has both a mean and a mode of 1.






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            Is this suggesting that discrete distributions, as opposed to continuous distributions are more likely to exhibit this property? There seems to be a strong argument for that.
            $endgroup$
            – Thomas Cleberg
            1 hour ago










          • $begingroup$
            No, I'm not suggesting that. I'm just saying it's easy to come up with an example (which is all the OP asked for) of a discrete distribution with that property.
            $endgroup$
            – beta1_equals_beta2
            1 hour ago













          3












          3








          3





          $begingroup$

          If the distribution is discrete, sure. It's easy. For example, a distribution with probability mass function




          • $P(X=0) = 0.36$


          • $P(X=1) = 0.40$


          • $P(X=2) = 0.13$


          • $P(X=3) = 0.10$


          • $P(X=4) = 0.01$

          is right (i.e. positively) skewed and has both a mean and a mode of 1.






          share|cite|improve this answer









          $endgroup$



          If the distribution is discrete, sure. It's easy. For example, a distribution with probability mass function




          • $P(X=0) = 0.36$


          • $P(X=1) = 0.40$


          • $P(X=2) = 0.13$


          • $P(X=3) = 0.10$


          • $P(X=4) = 0.01$

          is right (i.e. positively) skewed and has both a mean and a mode of 1.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered 3 hours ago









          beta1_equals_beta2beta1_equals_beta2

          963




          963











          • $begingroup$
            Is this suggesting that discrete distributions, as opposed to continuous distributions are more likely to exhibit this property? There seems to be a strong argument for that.
            $endgroup$
            – Thomas Cleberg
            1 hour ago










          • $begingroup$
            No, I'm not suggesting that. I'm just saying it's easy to come up with an example (which is all the OP asked for) of a discrete distribution with that property.
            $endgroup$
            – beta1_equals_beta2
            1 hour ago
















          • $begingroup$
            Is this suggesting that discrete distributions, as opposed to continuous distributions are more likely to exhibit this property? There seems to be a strong argument for that.
            $endgroup$
            – Thomas Cleberg
            1 hour ago










          • $begingroup$
            No, I'm not suggesting that. I'm just saying it's easy to come up with an example (which is all the OP asked for) of a discrete distribution with that property.
            $endgroup$
            – beta1_equals_beta2
            1 hour ago















          $begingroup$
          Is this suggesting that discrete distributions, as opposed to continuous distributions are more likely to exhibit this property? There seems to be a strong argument for that.
          $endgroup$
          – Thomas Cleberg
          1 hour ago




          $begingroup$
          Is this suggesting that discrete distributions, as opposed to continuous distributions are more likely to exhibit this property? There seems to be a strong argument for that.
          $endgroup$
          – Thomas Cleberg
          1 hour ago












          $begingroup$
          No, I'm not suggesting that. I'm just saying it's easy to come up with an example (which is all the OP asked for) of a discrete distribution with that property.
          $endgroup$
          – beta1_equals_beta2
          1 hour ago




          $begingroup$
          No, I'm not suggesting that. I'm just saying it's easy to come up with an example (which is all the OP asked for) of a discrete distribution with that property.
          $endgroup$
          – beta1_equals_beta2
          1 hour ago










          Don Tawanpitak is a new contributor. Be nice, and check out our Code of Conduct.









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          Reverse int within the 32-bit signed integer range: [−2^31, 2^31 − 1]Combining two 32-bit integers into one 64-bit integerDetermine if an int is within rangeLossy packing 32 bit integer to 16 bitComputing the square root of a 64-bit integerKeeping integer addition within boundsSafe multiplication of two 64-bit signed integersLeetcode 10: Regular Expression MatchingSigned integer-to-ascii x86_64 assembler macroReverse the digits of an Integer“Add two numbers given in reverse order from a linked list”

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