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Is a distribution that is normal, but highly skewed considered Gaussian?
The Next CEO of Stack OverflowFinding the distribution when the observations are dependentThe correct probability distribution / way to identify large deviations in a set of daily changes to portfolio valueWhich Distribution Does the Data Point Belong to?Distribution of Sample Means Compared to Population MeanRight skewed asymmetric Gaussian-like distributionModel building and data analysisWhat would the distribution of time spent per day on a given site look like?Distinguish between underlying Distribution and data shape in data transforming?Test to determine whether the empirical distribution for a given day is an outlier compared with other daysError on mean from measurements made from a distribution with a possible long tail
$begingroup$
I have this question: What do you think the distribution of time spent per day on YouTube looks like?
My answer is that it is probably normally distributed and highly left skewed. I expect there is one mode where most users spend around some average time and then a long right tale since some users are overwhelming power users.
Is that a fair answer? Is there a better word for that distribution?
distributions
asked 1 hour ago
CauderCauder
556
$endgroup$
add a comment |
$begingroup$
I have this question: What do you think the distribution of time spent per day on YouTube looks like?
My answer is that it is probably normally distributed and highly left skewed. I expect there is one mode where most users spend around some average time and then a long right tale since some users are overwhelming power users.
Is that a fair answer? Is there a better word for that distribution?
distributions
asked 1 hour ago
CauderCauder
556
$endgroup$
add a comment |
$begingroup$
I have this question: What do you think the distribution of time spent per day on YouTube looks like?
My answer is that it is probably normally distributed and highly left skewed. I expect there is one mode where most users spend around some average time and then a long right tale since some users are overwhelming power users.
Is that a fair answer? Is there a better word for that distribution?
distributions
asked 1 hour ago
CauderCauder
556
$endgroup$
I have this question: What do you think the distribution of time spent per day on YouTube looks like?
My answer is that it is probably normally distributed and highly left skewed. I expect there is one mode where most users spend around some average time and then a long right tale since some users are overwhelming power users.
Is that a fair answer? Is there a better word for that distribution?
distributions
distributions
asked 1 hour ago
CauderCauder
556
asked 1 hour ago
CauderCauder
556
asked 1 hour ago
CauderCauder
556
asked 1 hour ago
CauderCauder
556
asked 1 hour ago
CauderCauder
556
556
add a comment |
add a comment |
3 Answers
3
active
oldest
votes
$begingroup$
A distribution that is normal is not highly skewed. That is a contradiction. Normally distributed variables have skew = 0.
answered 1 hour ago
Peter Flom♦Peter Flom
76.5k11107213
$endgroup$
$begingroup$
What is a better way to describe the distribution? Is there a word for that type of distribution where it centers around a mode and then has a long tail?
$endgroup$
– Cauder
1 hour ago
1
$begingroup$
Unimodal and skewed is as close as I can come...
$endgroup$
– jbowman
1 hour ago
$begingroup$
Perfect. Thanks @jbowman
$endgroup$
– Cauder
1 hour ago
2
$begingroup$
As an aside, it's just really incredible that people give their time to help other people get better at this stuff. I know it goes without saying, but it's so cool what you both do!
$endgroup$
– Cauder
1 hour ago
add a comment |
$begingroup$
If it has long right tail, then it's right skewed.
It can't be a normal distribution since skew !=0, it's perhaps a unimodal skew normal distribution:
https://en.wikipedia.org/wiki/Skew_normal_distribution
answered 1 hour ago
beholdbehold
456
New contributor
behold is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
A fraction per day is certainly not negative. This rules out the normal distribution, which has probability mass over the entire real axis - in particular over the negative half.
Power law distributions are often used to model things like income distributions, sizes of cities etc. They are nonnegative and typically highly skewed. These would be the first I would try in modeling time spent watching YouTube. (Or monitoring CrossValidated questions.)
More information on power laws can be found here or here, or in our power-law tag.
answered 1 hour ago
Stephan KolassaStephan Kolassa
47.1k7100175
$endgroup$
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
A distribution that is normal is not highly skewed. That is a contradiction. Normally distributed variables have skew = 0.
answered 1 hour ago
Peter Flom♦Peter Flom
76.5k11107213
$endgroup$
$begingroup$
What is a better way to describe the distribution? Is there a word for that type of distribution where it centers around a mode and then has a long tail?
$endgroup$
– Cauder
1 hour ago
1
$begingroup$
Unimodal and skewed is as close as I can come...
$endgroup$
– jbowman
1 hour ago
$begingroup$
Perfect. Thanks @jbowman
$endgroup$
– Cauder
1 hour ago
2
$begingroup$
As an aside, it's just really incredible that people give their time to help other people get better at this stuff. I know it goes without saying, but it's so cool what you both do!
$endgroup$
– Cauder
1 hour ago
add a comment |
$begingroup$
A distribution that is normal is not highly skewed. That is a contradiction. Normally distributed variables have skew = 0.
answered 1 hour ago
Peter Flom♦Peter Flom
76.5k11107213
$endgroup$
$begingroup$
What is a better way to describe the distribution? Is there a word for that type of distribution where it centers around a mode and then has a long tail?
$endgroup$
– Cauder
1 hour ago
1
$begingroup$
Unimodal and skewed is as close as I can come...
$endgroup$
– jbowman
1 hour ago
$begingroup$
Perfect. Thanks @jbowman
$endgroup$
– Cauder
1 hour ago
2
$begingroup$
As an aside, it's just really incredible that people give their time to help other people get better at this stuff. I know it goes without saying, but it's so cool what you both do!
$endgroup$
– Cauder
1 hour ago
add a comment |
$begingroup$
A distribution that is normal is not highly skewed. That is a contradiction. Normally distributed variables have skew = 0.
answered 1 hour ago
Peter Flom♦Peter Flom
76.5k11107213
$endgroup$
A distribution that is normal is not highly skewed. That is a contradiction. Normally distributed variables have skew = 0.
answered 1 hour ago
Peter Flom♦Peter Flom
76.5k11107213
answered 1 hour ago
Peter Flom♦Peter Flom
76.5k11107213
answered 1 hour ago
Peter Flom♦Peter Flom
76.5k11107213
answered 1 hour ago
Peter Flom♦Peter Flom
76.5k11107213
76.5k11107213
$begingroup$
What is a better way to describe the distribution? Is there a word for that type of distribution where it centers around a mode and then has a long tail?
$endgroup$
– Cauder
1 hour ago
1
$begingroup$
Unimodal and skewed is as close as I can come...
$endgroup$
– jbowman
1 hour ago
$begingroup$
Perfect. Thanks @jbowman
$endgroup$
– Cauder
1 hour ago
2
$begingroup$
As an aside, it's just really incredible that people give their time to help other people get better at this stuff. I know it goes without saying, but it's so cool what you both do!
$endgroup$
– Cauder
1 hour ago
add a comment |
$begingroup$
What is a better way to describe the distribution? Is there a word for that type of distribution where it centers around a mode and then has a long tail?
$endgroup$
– Cauder
1 hour ago
1
$begingroup$
Unimodal and skewed is as close as I can come...
$endgroup$
– jbowman
1 hour ago
$begingroup$
Perfect. Thanks @jbowman
$endgroup$
– Cauder
1 hour ago
2
$begingroup$
As an aside, it's just really incredible that people give their time to help other people get better at this stuff. I know it goes without saying, but it's so cool what you both do!
$endgroup$
– Cauder
1 hour ago
$begingroup$
What is a better way to describe the distribution? Is there a word for that type of distribution where it centers around a mode and then has a long tail?
$endgroup$
– Cauder
1 hour ago
$begingroup$
What is a better way to describe the distribution? Is there a word for that type of distribution where it centers around a mode and then has a long tail?
$endgroup$
– Cauder
1 hour ago
1
1
$begingroup$
Unimodal and skewed is as close as I can come...
$endgroup$
– jbowman
1 hour ago
$begingroup$
Unimodal and skewed is as close as I can come...
$endgroup$
– jbowman
1 hour ago
$begingroup$
Perfect. Thanks @jbowman
$endgroup$
– Cauder
1 hour ago
$begingroup$
Perfect. Thanks @jbowman
$endgroup$
– Cauder
1 hour ago
2
2
$begingroup$
As an aside, it's just really incredible that people give their time to help other people get better at this stuff. I know it goes without saying, but it's so cool what you both do!
$endgroup$
– Cauder
1 hour ago
$begingroup$
As an aside, it's just really incredible that people give their time to help other people get better at this stuff. I know it goes without saying, but it's so cool what you both do!
$endgroup$
– Cauder
1 hour ago
add a comment |
$begingroup$
If it has long right tail, then it's right skewed.
It can't be a normal distribution since skew !=0, it's perhaps a unimodal skew normal distribution:
https://en.wikipedia.org/wiki/Skew_normal_distribution
answered 1 hour ago
beholdbehold
456
New contributor
behold is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
If it has long right tail, then it's right skewed.
It can't be a normal distribution since skew !=0, it's perhaps a unimodal skew normal distribution:
https://en.wikipedia.org/wiki/Skew_normal_distribution
answered 1 hour ago
beholdbehold
456
New contributor
behold is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
If it has long right tail, then it's right skewed.
It can't be a normal distribution since skew !=0, it's perhaps a unimodal skew normal distribution:
https://en.wikipedia.org/wiki/Skew_normal_distribution
answered 1 hour ago
beholdbehold
456
New contributor
behold is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
If it has long right tail, then it's right skewed.
It can't be a normal distribution since skew !=0, it's perhaps a unimodal skew normal distribution:
https://en.wikipedia.org/wiki/Skew_normal_distribution
answered 1 hour ago
beholdbehold
456
New contributor
behold is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 1 hour ago
beholdbehold
456
New contributor
behold is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 1 hour ago
beholdbehold
456
answered 1 hour ago
beholdbehold
456
456
New contributor
behold is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
behold is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
behold is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
$begingroup$
A fraction per day is certainly not negative. This rules out the normal distribution, which has probability mass over the entire real axis - in particular over the negative half.
Power law distributions are often used to model things like income distributions, sizes of cities etc. They are nonnegative and typically highly skewed. These would be the first I would try in modeling time spent watching YouTube. (Or monitoring CrossValidated questions.)
More information on power laws can be found here or here, or in our power-law tag.
answered 1 hour ago
Stephan KolassaStephan Kolassa
47.1k7100175
$endgroup$
add a comment |
$begingroup$
A fraction per day is certainly not negative. This rules out the normal distribution, which has probability mass over the entire real axis - in particular over the negative half.
Power law distributions are often used to model things like income distributions, sizes of cities etc. They are nonnegative and typically highly skewed. These would be the first I would try in modeling time spent watching YouTube. (Or monitoring CrossValidated questions.)
More information on power laws can be found here or here, or in our power-law tag.
answered 1 hour ago
Stephan KolassaStephan Kolassa
47.1k7100175
$endgroup$
add a comment |
$begingroup$
A fraction per day is certainly not negative. This rules out the normal distribution, which has probability mass over the entire real axis - in particular over the negative half.
Power law distributions are often used to model things like income distributions, sizes of cities etc. They are nonnegative and typically highly skewed. These would be the first I would try in modeling time spent watching YouTube. (Or monitoring CrossValidated questions.)
More information on power laws can be found here or here, or in our power-law tag.
answered 1 hour ago
Stephan KolassaStephan Kolassa
47.1k7100175
$endgroup$
A fraction per day is certainly not negative. This rules out the normal distribution, which has probability mass over the entire real axis - in particular over the negative half.
Power law distributions are often used to model things like income distributions, sizes of cities etc. They are nonnegative and typically highly skewed. These would be the first I would try in modeling time spent watching YouTube. (Or monitoring CrossValidated questions.)
More information on power laws can be found here or here, or in our power-law tag.
answered 1 hour ago
Stephan KolassaStephan Kolassa
47.1k7100175
answered 1 hour ago
Stephan KolassaStephan Kolassa
47.1k7100175
answered 1 hour ago
Stephan KolassaStephan Kolassa
47.1k7100175
answered 1 hour ago
Stephan KolassaStephan Kolassa
47.1k7100175
47.1k7100175
add a comment |
add a comment |
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