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What is the difference between ordinary constant and an arbitrary constant?
Ordinary constant is a real constant which is same in all time but arbitrary constant is not constant at all time intervals, especially we can see arbitrary constants in integrals.For example the anti derivative of x+C is 1. Here we can replace C with any constant so C is arbitrary constant
What is the difference between statistics and parameters?
Parameter is any attribute Statistic are the measured values of a parameter. A statistic is a sample value such as the average height of a group of students. A parameter is a functional constant such as the mean of a normal distribution. Statistics are often used to estimate parameters. For instance, a sample average is an estimate of the mean.
Difference between rate constant and specific rate constant?
There is no difference between them they are same rate constant is another name of specific rate constant
What is the difference between a constant in a graph and a constant in a experiment?
the difference between a constant in a graph and a constant in a experiment is that when on a graph, the constant is the thing that changes, and in a experiment it is the part that stays the same.
Difference between attenuation constant and phase constant?
nothing
What is difference between simple constant and arbitrary constant?
Constant is just a value, a fixed value that doesn't change. And arbitrary constant is a value that is fixed throughout multiple functions you pick for ease of calculations.
What is the difference between ordinary constant and an arbitrary constant?
Ordinary constant is a real constant which is same in all time but arbitrary constant is not constant at all time intervals, especially we can see arbitrary constants in integrals.For example the anti derivative of x+C is 1. Here we can replace C with any constant so C is arbitrary constant
What is the difference between statistics and parameter?
What is the difference between statistics and parameter
Difference between single parameter sensitivity and multiple parameter sensitivity?
Difference between single parameter sensitivity and multiple parameter sensitivity is that in multiple parameter sensitivity,defined parameters cannot be measured with a high degree of accuracy in the field or in the laboratory.
What is the difference between statistics and parameters?
Parameter is any attribute Statistic are the measured values of a parameter. A statistic is a sample value such as the average height of a group of students. A parameter is a functional constant such as the mean of a normal distribution. Statistics are often used to estimate parameters. For instance, a sample average is an estimate of the mean.
Difference between rate constant and specific rate constant?
There is no difference between them they are same rate constant is another name of specific rate constant
What is the difference between a constant in a graph and a constant in a experiment?
the difference between a constant in a graph and a constant in a experiment is that when on a graph, the constant is the thing that changes, and in a experiment it is the part that stays the same.
What is bias an experiment?
The bias is the difference between the expected value of a parameter and the true value.
Difference between Bresenham and midpoint circle drawing algorithm?
what is difference between mid-point and bresenhams circle algorithm what is difference between mid-point and bresenhams circle algorithm bresenhams circle algorithm results in a much more smoother circle,comparred to midpoint circle algorithm..In mid point,decision parameter depends on previous decision parameter and corresponding pixels whereas in bresenham decision parameter only depends on previous decision parameter...
What is the difference between ordinary prism and constant deviation prism?
difference between ordinary prism and constant deviation prism
Difference between attenuation constant and phase constant?
nothing
What is the difference between a controlled parameter and a variable parameter?
controlled parameters the factor that stays the same in ALL groups variable parameters the factor(s) that change between control groups and variable groups
