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What percentage of the area would the Empirical Rule say is between z -3.00 and z 3.00?
Wiki User
∙ 12y ago
Assuming that you are refering to the standard normal distribution and the z-scores, the answer is 99.73%.
If the assumption is incorrect, please resubmit the questionwith more information.
Wiki User
∙ 12y ago
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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%
How to use the Empirical Rule to estimate the proportion of costs within two standard deviations of the mean?
IQ scores for adult students age 25-45 have a bell-shaped distribution with a mean of 100 and a standard deviation of 15.sing the Empirical Rule, what percentage of adult students age 25-45 have IQ scores between 70 and 130?
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 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
Statistic question help?
When using Chebyshev's Theorem the minimum percentage of sample observations that will fall within two standard deviations of the mean will be __________ the percentage within two standard deviations if a normal distribution is assumed Empirical Rule smaller than greater than the same as
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%
How can you find the percentage of empirical rule?
The number of potholes inThe number of potholes in any given 1 mile stretch of freeway pavement in Pennsylvania has a bell-shaped distribution. This distribution has a mean of 61 and a standard deviation of 9. Using the empirical rule (as presented in the book), what is the approximate percentage of 1-mile long roadways with potholes numbering between 34 and 70? any given 1 mile stretch of freeway pavement in Pennsylvania has a bell-shaped distribution. This distribution has a mean of 61 and a standard deviation of 9. Using the empirical rule (as presented in the book), what is the approximate percentage of 1-mile long roadways with potholes numbering between 34 and 70?
How to use the Empirical Rule to estimate the proportion of costs within two standard deviations of the mean?
IQ scores for adult students age 25-45 have a bell-shaped distribution with a mean of 100 and a standard deviation of 15.sing the Empirical Rule, what percentage of adult students age 25-45 have IQ scores between 70 and 130?
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 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
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.
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.
Statistic question help?
When using Chebyshev's Theorem the minimum percentage of sample observations that will fall within two standard deviations of the mean will be __________ the percentage within two standard deviations if a normal distribution is assumed Empirical Rule smaller than greater than the same as
In the Empirical Rule of data will fall in with two standard deviation.?
Approx 95% of the observations.
Difference between inductive and deductive reasoning?
inductive reasoning is self propagation and self establishedinductive reasoning starts with empirical observations of specific phenomena, then establishes a general rule to fit the observed facts.deductive reasoning starts with a general rule, then applies that rule to a specific instance.
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.
