Timeline for PDF of the normal distribution and probability values
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
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| Sep 23, 2013 at 13:45 | history | edited | user88 | CC BY-SA 3.0 |
edited title
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| Sep 23, 2013 at 7:52 | comment | added | Katherine Gobin | Many many thanks for making me realize that probability is f(x)dx and f(x). Though I may take some time to understand the concept thoroughly, but your explanation has really helped me to clear my doubts. Thanks again. Regards - Katherine | |
| Sep 23, 2013 at 7:40 | answer | added | Michael M | timeline score: 2 | |
| Sep 23, 2013 at 7:30 | history | edited | Glen_b | CC BY-SA 3.0 |
more formatting, some grammar
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| Sep 23, 2013 at 7:27 | comment | added | Glen_b | Density is not probability. For a continuous variable, the probability of taking any specific value is effectively $f(x)dx$ not $f(x)$. (Consider a normal with mean 0 and standard deviation 0.1; what's $f(0)$ now?). This is addressed in numerous posts. In your situation above, a probability like $P(a<X<b)$ for $a<b$ and both finite will have some finite value strictly between 0 and 1. The answers here may be of some help. | |
| S Sep 23, 2013 at 7:19 | history | edited | Glen_b | CC BY-SA 3.0 |
improved formatting
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| Sep 23, 2013 at 7:17 | review | Suggested edits | |||
| S Sep 23, 2013 at 7:19 | |||||
| Sep 23, 2013 at 7:07 | history | asked | Katherine Gobin | CC BY-SA 3.0 |