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How do you calculate the error of a median for a non-parametric distribution?
Wiki User
∙ 8y ago
You would need to take repeated samples, find their median and then calculate the standard error of these values.
Wiki User
∙ 7y ago
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How do solve the frequency distribution?
The answer will depend on what you mean by "solve". Find the mean, median, mode, variance, standard error, standard deviation, quartiles, deciles, percentiles, cumulative distribution, goodness of fit to some distribution etc. The question needs to be a bit more specific than "solve".
What are the three differences between parametric and non-parametric statistics?
1. A nonparametric statistic has no inference 2. A nonparametric statistic has no standard error 3. A nonparametric statistic is an element in a base population (universe of possibilities) where every possible event in the population is known and can be characterized * * * * * That is utter rubbish and a totally irresponsible answer. In parametric statistics, the variable of interest is distributed according to some distribution that is determined by a small number of parameters. In non-parametric statistics there is no underlying parametric distribution. With non-parametric data you can compare between two (or more) possible distributions (goodness-of-fit), test for correlation between variables. Some test, such as the Student's t, chi-square are applicable for parametric as well as non-parametric statistics. I have, therefore, no idea where the previous answerer got his/her information from!
How do you calculate percentage error for density of pennies?
Percent error refers to the percentage difference between a measured value and an accepted value. To calculate the percentage error for density of pennies, the formula is given as: percent error = [(measured value - accepted value) / accepted value] x 100.
Write the equation used to calculate percent error?
Percentage error = Value experimental-Value acceptedValueaccepted x 100
Which statistics are used to construct a confidence interval?
The parameters of the underlying distribution, plus the standard error of observation.
What is the standard error of the sampling distribution equal to when you do not know the population standard deviation?
You calculate the standard error using the data.
How do solve the frequency distribution?
The answer will depend on what you mean by "solve". Find the mean, median, mode, variance, standard error, standard deviation, quartiles, deciles, percentiles, cumulative distribution, goodness of fit to some distribution etc. The question needs to be a bit more specific than "solve".
What are the three differences between parametric and non-parametric statistics?
1. A nonparametric statistic has no inference 2. A nonparametric statistic has no standard error 3. A nonparametric statistic is an element in a base population (universe of possibilities) where every possible event in the population is known and can be characterized * * * * * That is utter rubbish and a totally irresponsible answer. In parametric statistics, the variable of interest is distributed according to some distribution that is determined by a small number of parameters. In non-parametric statistics there is no underlying parametric distribution. With non-parametric data you can compare between two (or more) possible distributions (goodness-of-fit), test for correlation between variables. Some test, such as the Student's t, chi-square are applicable for parametric as well as non-parametric statistics. I have, therefore, no idea where the previous answerer got his/her information from!
What is the mean mode median standard deviation and standard error of 10 24 35 44 10 and 35?
Mean: 26.33 Median: 29.5 Mode: 10, 35 Standard Deviation: 14.1515 Standard Error: 5.7773
How do you calculate maximum error?
you calculate the degree of accuracy and divide it by 2
How to calculate a percentage error?
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What affects the standard error of the mean?
The standard error of the underlying distribution, the method of selecting the sample from which the mean is derived, the size of the sample.
What are the sources of error when performing a viable plate count?
Sampling error can a rise where as, the uneven distribution of the sample on the agar surface.
How do you calculate span error?
For a relative error maybe it is: (Vout_hi - Vout_lo) / (Vout_hi_nom - Vout_lo_nom) - 1
How do you calculate truncation error?
The truncation error is the difference between two sides of an equation. Each side has an error value which can be compared.
What is Confidence Intervals of Standard Error?
The standard deviation associated with a statistic and its sampling distribution.
How do you calculate percentage error for density of pennies?
Percent error refers to the percentage difference between a measured value and an accepted value. To calculate the percentage error for density of pennies, the formula is given as: percent error = [(measured value - accepted value) / accepted value] x 100.
