What is a standard curve? - Mathematics Stack Exchange
Simply put, a standard curve is a plot of known x and y values. Given just y from your experiment, you should be able to determine x from the plot of known values (standard curve). To get into a bit more detail, a standard curve for immunoassays such as ELISAs is usually fit to the 4 parameter logistic (4PL) or 5 parameter logistic (5PL ...
statistics - how to find area under normal distribution curve ...
what is the official/academic name of an area under the right-tailed standard normal curve and how to compute the quantity? 0 What is the area under a PDF for a normal distrubution?
How to calculate the integral in normal distribution?
$\begingroup$ There should be tables for the CDF of the (standard) normal distribution in the usual statistics textbooks... $\endgroup$ – J. M. ain't a mathematician Commented May 14, 2012 at 18:07
statistics - How was the normal distribution derived?
Abraham de Moivre, when he came up with this formula, had to assure that the points of inflection were exactly one standard deviation away from the center, and so that it was bell-shaped, as well as make sure that the area under the curve was exactly equal to one. And somehow they came up with the standard normal distribution, which is as follows:
statistics - What is the 'y' axis in normal distribution?
2019年3月25日 · Under any normal density curve, the area between $\mu \pm \sigma$ is about 68% of the entire area. (As the horizontal scale, indicated by $\sigma,$ increases, the height of the curve decreases.) For the standard normal distribution the interval $\mu \pm \sigma$ has length $2$ and the distribution reaches a maximum height of about 0.4.
Expectation and variance of top 10% of any normal distribution
In a similar manner, I go about finding the variance and get .1578, or a standard deviation of about .3972. All seems well so far. I then take the lower 90 numbers and calculate the expectation and get -.194. This works because if I use the law of iterated expectations, the expectation turns out to be 0, which we expect from the standard curve.
Find area under the curve of a standard normal distribution
Let me point out that your the meaning of the area under the curve to the left of $-1.39$ is the probability that a standard normal is at most $-1.39$. Make sure that you understand what you're calculating.
Why does this prove that a curve is a straight line?
2017年1月23日 · Now I proceeded to use the first Serret-Frenet equation $\mathbf t'=\kappa \mathbf n$ which gives us $\mathbf t'=\mathbf 0$, in other words, $\mathbf t$ is a constant vector. Clearly if a curve has a constant tangent vector, then it must be a straight line. When I looked up my lecturer's proof, he proved it similarly but performed an additional ...
Normal curve 1.5 standard deviations - Mathematics Stack Exchange
For a normal curve, how much of the area lies within 1.5 standard deviations of the mean? I already know about the 68–95–99.7 rule, and see that it should be between 68% and 95%. I also know that it should be closer to 95%, so I estimate it to be around 80%.
Area under Normal Distribution Curve - Mathematics Stack …
2014年7月19日 · The diagram below shows the values of the Standard normal distribution ($\color{red}{ \textrm{red}}$) in comparision to the values of the approximation ($\color{blue}{ \textrm{blue}} $) . Share Cite