# When would you use chebyshev s theorem and the empirical rule in business

Chebyshev’s theorem example use the empirical rule to find what two values 95% of the data will fall between for a data set with mean 106 and standard . When would you use chebyshev’s theorem and the empirical rule in business how are they calculated provide one - answered by a verified math tutor or teacher. Chebyshev's inequality: in very common language, it means that regardless of the nature of the underlying distribution that defines the random variable (some process in the world), there are guaranteed bounds to what % of observations will lie within k standard deviations of a mean. Chebyshev’s theorem states that the proportion or percentage of any data set that lies within k standard deviation of the mean where k is any positive integer greater than 1 is at least 1 – 1/k^2 below are four sample problems showing how to use chebyshev's theorem to solve word problems .

When would you use chebyshev's theorem and the empirical rule in business how are they calculated provide one real-life example that requires chebyshev's theorem and one that requires the empirical rule 200 word limit. Lesson 21 - standard deviation empirical rule problems in statistics you will learn how to apply the empirical rule for standard deviation to solve problems in statistics chebyshev's . Get an answer for 'use the chebyshev's theorem to find what percent of the values will fall between 166 & 346 for a data set with a mean of 256 and standard deviation of 18must show work' and find .

In contrast to the empirical rule which requires the distribution to be approximately normal, chebyshev's theorem applies to any distribution no matter how skewed you need only know the mean . Chebyshev’s theorem and the empirical rule we can use a much easier theorem than chebyshev’s the “empirical rule” states that in cases where the . Using chebyshev's inequality, determine how large n needs to be to ensure that the understanding chebyshev's theorem 1 is the right hand rule a trick to . The empirical rule applies solely to the normal distribution, while chebyshev's theorem (chebyshev's inequality, tchebysheff's inequality, bienaymé-chebyshev inequality) deals with all (well . Chebyshev's inequality applies to the distribution--whose parameters you don't know--but it does not apply to the sample itself for making inferences about its parent distribution it no longer holds when you insert empirical plug-in estimates of the mean and standard deviation, either.

I use chebyshev’s theorem to find what percent of the values will fall between 156 and 276 for a data set with a mean of 216 and standard deviation of 12 ii use the empirical rule to find what two values 68% of the data will fall between for a data set with a mean of 219 and standard deviation of 20. Business & finance cars & transportation empirical rule & chebyshev’s theorem you cannot get this number specifically from the empirical rule . With the use of chebyshev’s inequality, we know that at least 75% of the dogs that we sampled have weights that are two standard deviations from the mean two times the standard deviation gives us 2 x 3 = 6. Would you use chebyshevs theorem and the empirical rule in business how are they calculated provide one real-life example that requires chebyshevs theorem and one.

## When would you use chebyshev s theorem and the empirical rule in business

The solution gives a comparison of empirical rule and chebyshev's theorem for normal distribution we should use chebyshev's business philosophy and ethics. Chebyshev’s theorem and empirical rule can be used in business in order to measurable comparisons between the two doctrines on the foundation of percent data distribution. If someone wants to know the probability that an animal will live longer than 146 years, they could use the empirical rule knowing the distribution's mean is 131 years old, the following age . When would you use chebyshev’s theorem and the empirical rule in business how are they calculated provide one real-life example that requires chebyshev’s theorem and one that requires the empirical rule.

Chebyshev's theorem applies to all data sets whereas the empirical rule is appropriate when the distribution is symmetric and bell-shaped when is it preferable to use the empirical rule if the histogram or other visual and numerical measures suggest a symmetric and bell-shaped distribution. Chebyshev's theorem, or inequality, states that for any given data sample, the proportion of observations is at least (1-(1/k2)), where k equals the within number divided by the standard deviation for this to work, k must equal at least 1 this theorem provides a way to know what percentage of .

(a) when would you use chebyshev’s theorem and the empirical rule in business how are they calculated provide one real-life example that requires chebyshev’s theorem and one that requires the empirical rule. Use chebyshev's theorem to find what percent of the values will fall between 222 and 286 for a data set with a mean of 254 and standard deviation of 16 use the empirical rule to find what two values 95% of the data will fall between for a data set with a mean of 216 and standard deviation of 12. If you use microsoft excel on a regular basis, odds are you work with numbers put those numbers to work statistical analysis allows you to find patterns, trends and probabilities within your data. When would you use chebyshev’s theorem and the empirical rule in health administration how are they calculated provide one real-life example that requires chebyshev’s theorem and one that requires the empirical rule.