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Nearly all the values in a sample from a normal population will lie within three standard deviations of the mean. Please see the link.
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What does the Empirical Rule indicate?
An empirical rule indicates a probability distribution function for a variable which is based on repeated trials.
What is quantative research?
Quantitative research is empirical research that uses statistics, numerical data, and mathematics. It is used to answer problems that are not case specific and have a broader reach.
What is the difference between Chebyshevs inequality and empirical rule in terms of skweness?
See: http://wiki.answers.com/Q/What_is_the_difference_between_Chebyshevs_inequality_and_empirical_rule_in_terms_of_skewness
By the empirical rule what percentage of the area under the normal curve lies to the left of mu the average Put your answer as a percentage?
50%
Is Empirical Rule when 75 percent of the observations lie within plus and minus 2.00 average mean deviations?
me la pelas
What does the Empirical Rule indicate?
An empirical rule indicates a probability distribution function for a variable which is based on repeated trials.
What empirical analysis is used in political analysis?
Primarily, statistics.
Can the Empirical Rule of probability be applied to the uniform probability distribution?
Yes, except that if you know that the distribution is uniform there is little point in using the empirical rule.
Does the empirical rule work for any data set?
No.The empirical rule is a good estimate of the spread of the data given the mean and standard deviation of a data set that follows the normal distribution.If you you have a data set with 10 values, perhaps all 10 the same, you clearly cannot use the empirical rule.
What is Markovnikov rule?
Markovnikov’s rule is an empirical rule used to predict regioselectivity of electrophilic addition reactions of alkenes and alkynes. It states that, in hydrohalogenation of an unsymmetrical alkene, the hydrogen atom in the hydrogen halide forms a bond with the doubly bonded carbon atom in the alkene, bearing the greater number of hydrogen atoms.
State the main reason for using the empirical rule rather than chebyshevs theorem?
The empirical rule can only be used for a normal distribution, so I will assume you are referring to a normal distribution. Chebyshev's theorem can be used for any distribution. The empirical rule is more accurate than Chebyshev's theorem for a normal distribution. For 2 standard deviations (sd) from the mean, the empirical rule says 95% of the data are within that, and Chebyshev's theorem says 1 - 1/2^2 = 1 - 1/4 = 3/4 or 75% of the data are within that. From the standard normal distribution chart, the answer for 2 sd from the mean is 95.44% So, as you can see the empirical rule is more accurate.
In the Empirical Rule of data will fall in with two standard deviation.?
Approx 95% of the observations.
When was Historical Statistics of the United States created?
Historical Statistics of the United States was created in 2006.
What is the empirical rule for 1 and 2 standard deviations?
The empirical rule is 68 - 95 - 99.7. 68% is the area for +/- 1 standard deviation (SD) from the mean, 95% is the area for +/- 2 SD from the mean; and 99.7% is the area for +/- 3 SD from the mean.
What has the author H L Koul written?
H. L. Koul has written: 'Weighted empiricals and linear models' -- subject(s): Autoregression (Statistics), Linear models (Statistics), Regression analysis, Sampling (Statistics) 'Weighted empirical processes in dynamic nonlinear models' -- subject(s): Autoregression (Statistics), Linear models (Statistics), Regression analysis, Sampling (Statistics)
When was United States Bureau of Justice Statistics created?
United States Bureau of Justice Statistics was created in 1979.
What are relationship between econometrics and statistics?
Econometrics is basically applied statistics. The theory you learn in statistics can be used to answer questions posed in the field of economics. Because this application is mathematical, it allows economists to perform research using economic data in an empirical, scientific, and rigorous manner.
