Need help to understand a density histogram











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I've a density histogram, I don't understand. I hope somebody can help me with that.



The histogram: http://www.filedropper.com/capture_5



I know that a density histogram is the bar areas sum to 1. But I don't understand the histogram I have. It's a histogram of a consumption. Is it positive? How is the density? Is it symmetric or skewed?










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  • it looks like a mixture of an exponential and a gamma (or something similar). Might be a useful way to model it.
    – user237392
    Oct 15 '15 at 3:58















up vote
0
down vote

favorite












I've a density histogram, I don't understand. I hope somebody can help me with that.



The histogram: http://www.filedropper.com/capture_5



I know that a density histogram is the bar areas sum to 1. But I don't understand the histogram I have. It's a histogram of a consumption. Is it positive? How is the density? Is it symmetric or skewed?










share|cite|improve this question
























  • it looks like a mixture of an exponential and a gamma (or something similar). Might be a useful way to model it.
    – user237392
    Oct 15 '15 at 3:58













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I've a density histogram, I don't understand. I hope somebody can help me with that.



The histogram: http://www.filedropper.com/capture_5



I know that a density histogram is the bar areas sum to 1. But I don't understand the histogram I have. It's a histogram of a consumption. Is it positive? How is the density? Is it symmetric or skewed?










share|cite|improve this question















I've a density histogram, I don't understand. I hope somebody can help me with that.



The histogram: http://www.filedropper.com/capture_5



I know that a density histogram is the bar areas sum to 1. But I don't understand the histogram I have. It's a histogram of a consumption. Is it positive? How is the density? Is it symmetric or skewed?







statistics






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edited Oct 14 '15 at 21:59









tomi

6,18611132




6,18611132










asked Oct 14 '15 at 21:46









user4476151

14




14












  • it looks like a mixture of an exponential and a gamma (or something similar). Might be a useful way to model it.
    – user237392
    Oct 15 '15 at 3:58


















  • it looks like a mixture of an exponential and a gamma (or something similar). Might be a useful way to model it.
    – user237392
    Oct 15 '15 at 3:58
















it looks like a mixture of an exponential and a gamma (or something similar). Might be a useful way to model it.
– user237392
Oct 15 '15 at 3:58




it looks like a mixture of an exponential and a gamma (or something similar). Might be a useful way to model it.
– user237392
Oct 15 '15 at 3:58










1 Answer
1






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0
down vote













In an ordinary histogram the area of a bar is equal to the frequency. In this example the area of a bar is equal to the relative frequency = frequency divided by sum of frequencies.



So, for example, the very leftmost bar has height about 0.49 and width 0.5, so area = 0.245 - which means that about 24.5% of the observations are found to take a value of between 0 and 0.4 (whatever HE$Q is).



The distribution is not symmetrical. There is a tail stretching out on the right, so the distribution is positively skewed.






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  • Isn't the width 0.5? How did you find the area?
    – user4476151
    Oct 14 '15 at 22:16










  • Is it something you calculated?
    – user4476151
    Oct 14 '15 at 22:35












  • Corrected the width now
    – tomi
    Oct 15 '15 at 11:33










  • But how did you find the area?
    – user4476151
    Oct 15 '15 at 12:13










  • Area = width $times$ height $=0.5 times 0.49 =0.245$
    – tomi
    Oct 15 '15 at 22:52











Your Answer





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1 Answer
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1 Answer
1






active

oldest

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active

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up vote
0
down vote













In an ordinary histogram the area of a bar is equal to the frequency. In this example the area of a bar is equal to the relative frequency = frequency divided by sum of frequencies.



So, for example, the very leftmost bar has height about 0.49 and width 0.5, so area = 0.245 - which means that about 24.5% of the observations are found to take a value of between 0 and 0.4 (whatever HE$Q is).



The distribution is not symmetrical. There is a tail stretching out on the right, so the distribution is positively skewed.






share|cite|improve this answer























  • Isn't the width 0.5? How did you find the area?
    – user4476151
    Oct 14 '15 at 22:16










  • Is it something you calculated?
    – user4476151
    Oct 14 '15 at 22:35












  • Corrected the width now
    – tomi
    Oct 15 '15 at 11:33










  • But how did you find the area?
    – user4476151
    Oct 15 '15 at 12:13










  • Area = width $times$ height $=0.5 times 0.49 =0.245$
    – tomi
    Oct 15 '15 at 22:52















up vote
0
down vote













In an ordinary histogram the area of a bar is equal to the frequency. In this example the area of a bar is equal to the relative frequency = frequency divided by sum of frequencies.



So, for example, the very leftmost bar has height about 0.49 and width 0.5, so area = 0.245 - which means that about 24.5% of the observations are found to take a value of between 0 and 0.4 (whatever HE$Q is).



The distribution is not symmetrical. There is a tail stretching out on the right, so the distribution is positively skewed.






share|cite|improve this answer























  • Isn't the width 0.5? How did you find the area?
    – user4476151
    Oct 14 '15 at 22:16










  • Is it something you calculated?
    – user4476151
    Oct 14 '15 at 22:35












  • Corrected the width now
    – tomi
    Oct 15 '15 at 11:33










  • But how did you find the area?
    – user4476151
    Oct 15 '15 at 12:13










  • Area = width $times$ height $=0.5 times 0.49 =0.245$
    – tomi
    Oct 15 '15 at 22:52













up vote
0
down vote










up vote
0
down vote









In an ordinary histogram the area of a bar is equal to the frequency. In this example the area of a bar is equal to the relative frequency = frequency divided by sum of frequencies.



So, for example, the very leftmost bar has height about 0.49 and width 0.5, so area = 0.245 - which means that about 24.5% of the observations are found to take a value of between 0 and 0.4 (whatever HE$Q is).



The distribution is not symmetrical. There is a tail stretching out on the right, so the distribution is positively skewed.






share|cite|improve this answer














In an ordinary histogram the area of a bar is equal to the frequency. In this example the area of a bar is equal to the relative frequency = frequency divided by sum of frequencies.



So, for example, the very leftmost bar has height about 0.49 and width 0.5, so area = 0.245 - which means that about 24.5% of the observations are found to take a value of between 0 and 0.4 (whatever HE$Q is).



The distribution is not symmetrical. There is a tail stretching out on the right, so the distribution is positively skewed.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Oct 15 '15 at 11:33

























answered Oct 14 '15 at 22:07









tomi

6,18611132




6,18611132












  • Isn't the width 0.5? How did you find the area?
    – user4476151
    Oct 14 '15 at 22:16










  • Is it something you calculated?
    – user4476151
    Oct 14 '15 at 22:35












  • Corrected the width now
    – tomi
    Oct 15 '15 at 11:33










  • But how did you find the area?
    – user4476151
    Oct 15 '15 at 12:13










  • Area = width $times$ height $=0.5 times 0.49 =0.245$
    – tomi
    Oct 15 '15 at 22:52


















  • Isn't the width 0.5? How did you find the area?
    – user4476151
    Oct 14 '15 at 22:16










  • Is it something you calculated?
    – user4476151
    Oct 14 '15 at 22:35












  • Corrected the width now
    – tomi
    Oct 15 '15 at 11:33










  • But how did you find the area?
    – user4476151
    Oct 15 '15 at 12:13










  • Area = width $times$ height $=0.5 times 0.49 =0.245$
    – tomi
    Oct 15 '15 at 22:52
















Isn't the width 0.5? How did you find the area?
– user4476151
Oct 14 '15 at 22:16




Isn't the width 0.5? How did you find the area?
– user4476151
Oct 14 '15 at 22:16












Is it something you calculated?
– user4476151
Oct 14 '15 at 22:35






Is it something you calculated?
– user4476151
Oct 14 '15 at 22:35














Corrected the width now
– tomi
Oct 15 '15 at 11:33




Corrected the width now
– tomi
Oct 15 '15 at 11:33












But how did you find the area?
– user4476151
Oct 15 '15 at 12:13




But how did you find the area?
– user4476151
Oct 15 '15 at 12:13












Area = width $times$ height $=0.5 times 0.49 =0.245$
– tomi
Oct 15 '15 at 22:52




Area = width $times$ height $=0.5 times 0.49 =0.245$
– tomi
Oct 15 '15 at 22:52


















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