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Q: Why does the curve deviation from linearity at higher concentration?
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What is a curve that is higher on the outside than it is on the inside called?

A banked curve.


What is the diffecence between sensitivity and detection limit?

Sensitivity is the smallest change in concentration of the analyze that can be detected by using that method. This is the slope of the calibration curve. Detection limit is the lowest concentration that can be detected by the particular method.


What is michelis menten curve how it is useful in the study of enzyme kinetics?

The michaelis menten cruve is a plot of initial velocity vs substrate concentration. From this plot one can measure a Vmax and Km.


Why do you use the wavelength with the maximum absorbance in spectroscopy?

Short answer:Using the maximum wavelength gives us the best results. This is because at the peak absorbance, the absobance strength of light will be at the highest and rate of change in absorbance with wavelength will be the smallest. Measurements made at the peak absorbance will have the smallest error.Long answer: It really depends on what is the largest source of error. Taking the readings at the peak maximum is best at low absorbance, because it gives the best signal-to-noise ratio, which improves the precision of measurement. If the dominant source of noise is photon noise, the precision of absorbance measurement is theoretically best when the absorbance is near 1.0. So if the peak absorbance is below 1.0, then using the peak wavelength is best, but if the peak absorbance is well above 1.0, you might be better off using another wavelength where the absorbance is closer to 1. Another issue is calibration curve non-linearity, which can result in curve-fitting errors. The non-linearity caused by polychromatic light is minimized if you take readings at either a peak maximum or a minimum, because the absorbance change with wavelength is the smallest at those wavelengths. On the other hand, using the maximum increases the calibration curve non-linearity caused by stray light. Very high absorbances cause two problems: the precision of measurement is poor because the transmitted intensity is so low, and the calibration curve linearity is poor due to stray light. The effect of stray light can be reduced by taking the readings at awavelength where the absorbance is lower or by using a non-linear calibration curve fitting technique. Finally, if spectral interferences are a problem, the best measurement wavelength may be the one that minimizes the relative contribution of spectral interferences (which may or may not be the peak maximum). In any case, don't forget: whatever wavelength you use, you have to use the exact same wavelength for all the standards and samples. See http://terpconnect.umd.edu/~toh/models/BeersLaw.htmlTom O'HaverProfessor Emeritus


Are latitude and longitude lines curve or straight?

They curve with the curve of the Earth.

Related questions

What is the limit of linearity range?

Limit of Linearity is the concentration at which the calibration curve departs from linearity by a specified amount. A deviation of approximately 5% is usually considered the upper limit. Common at higher concentrations.


What is linearity error?

When a function or given data set differes from a liniar curve fit. the difference between the data and a linear curve fit is your linearity error


What is the mean and standard deviation for the standard normal curve?

Mean = 0 Standard Deviation = 1


What is the standard deviation of the stardard normal curve?

1


Is normal curve symmetrical about its standard deviation?

nop its not


How do you apply standard deviation to normal curve?

The distance between the middle and the inflection point is the standard deviation.


What is the standard deviation of the normal IQ curve?

It is 15 points.


How to Calculate Pressure Transmitter Accuracy?

accuracy with only one variable. Accuracy takes into account several different variables, only one of which is non-linearity. In other words, non-linearity alone does not determine a device’s overall accuracy. These are the five variables a user should consider when determining pressure transmitter accuracy: Two methods are used to generate the reference line needed to find a pressure transmitter’s non-linearity: the terminal method, also called endpoint method (blue line) and the best fit straight line method (brown line). The linearity is the largest deviation from the reference line to the actual response (red line). Non-linearity Non-linearity is the largest deviation between the actual response (red curve) and a reference line. There are two common methods for generating this reference line The terminal method, also called the endpoint method, draws a straight line from the actual zero point to the actual full scale value endpoint. Since this method is based on the characteristic curve’s endpoints, it is a truer representation of a pressure transmitter’s non-linearity. The best fit straight line (BFSL) method is a straight line that stays within a certain percentage deviation from the characteristic curve, or actual response. The endpoints do not figure into this method. BFSL method values are typically half of terminal method values, meaning that a pressure transmitter with a ±0.25% BFSL non-linearity allows for a ±0.50% error. Zero offset and span tolerance when calculating pressure transmitter accuracy Zero offset The zero offset is the deviation between the ideal line’s zero point and the characteristic curve’s zero point (see Fig. 4). Span tolerance Span tolerance is the deviation of the actual span from the ideal span between the zero point and the full scale point. The span offset is not related to the zero offset and has to be added to it. Hysteresis Hysteresis is the lag between a change in pressure and the corresponding change in the pressure transmitter signal. It is an indication of how fast or slow a pressure transmitter responds to input changes. Non-repeatability Non-repeatability is the maximum difference in the signal of the pressure transmitter for the same applied pressure. It is an indication of how much the transmitter duplicates measurements for the same input.


Mean of normal curve always standard deviation?

No, they are rarely the same.


Do IMDb ratings follow a bell curve?

IMDB rating do generally follow a bell curve, with a mean and standard deviation.


Deviation IQ scores produce a normal curve that is shaped roughly like?

it is shaped roughly like a bell... a bell curve.


What is the difference between a general normal curve and a standard normal curve?

A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.