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When would it be beneficial to use exclusive distribution rather than intensive distribution?
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Why is the Normal Distribution called normal?
Suppose you could call it the Gaussian Distribution or the Laplace-Gauss (not to be confused with the Laplace distribution which takes an absolute difference from the mean rather than a squared error)... however the Brits had no one to name this distribution after (not the German and French names) and because it is the ubiquitous distribution they just called it... well the NORMAL!!
What is a skewed right?
A distribution or set of observations is said to be skewed right or positively skewed if it has a longer "tail" of numbers on the right. The mass of the distribution is more towards the left of the figure rather than the middle.
A complete probability distribution is always an objective listing of all possible events Since it is impossible to list all the possible outcomes from a single event probability distributions are o?
Your question is not clear, but I will attempt to interpret it as best I can. When you first learn about probability, you are taught to list out the possible outcomes. If all outcomes are equally probable, then the probability is easy to calculate. Probability distributions are functions which provide probabilities of events or outcomes. A probability distribution may be discrete or continuous. The range of both must cover all possible outcomes. In the discrete distribution, the sum of probabilities must add to 1 and in the continuous distribtion, the area under the curve must sum to 1. In both the discrete and continuous distributions, a range (or domain) can be described without a listing of all possible outcomes. For example, the domain of the normal distribution (a continuous distribution is minus infinity to positive infinity. The domain for the Poisson distribution (a discrete distribution) is 0 to infinity. You will learn in math that certain series can have infinite number of terms, yet have finite results. Thus, a probability distribution can have an infinite number of events and sum to 1. For a continuous distribution, the probability of an event are stated as a range, for example, the probability of a phone call is between 4 to 10 minutes is 10% or probability of a phone call greater than 10 minutes is 60%, rather than as a single event.
Can two events be both mutually exclusive and independent at the same time?
They can't. If they are ME, then if you get one, you know that the other will not occur. By def of Indep. , knowing the outcome of an event cannot tell you info about the other. Actually, that is not entirely true - in the (rather trivial) case that the probability of one event is zero - both conditions are met. It is false
What is kurtosis?
I will answer your question in a couple of ways. First as a concept: Kurtosis is a measure of whether the data are peaked or flat relative to a normal distribution. That is, data sets with high kurtosis tend to have a distinct peak near the mean, decline rather rapidly, and have heavy tails. Data sets with low kurtosis tend to have a flat top near the mean rather than a sharp peak. A uniform distribution would be the extreme case. Now as a mathematical formula: For univariate data Y1, Y2, ..., YN, the formula for kurtosis is:where is the mean, is the standard deviation, and N is the number of data points. You may find more information at this website: http://www.itl.nist.gov/div898/handbook/eda/section3/eda35b.htm
Is odor a intensive property or extensive?
Odor is an intensive property. It does not depend on the amount or size of a sample, but rather on the specific identity of the substance.
Is elasticity extensive or intensive property?
Elasticity is an intensive property because it does not depend on the amount of the material being considered, but rather on its intrinsic physical characteristics. It remains constant regardless of the size or quantity of the material.
What are the environmental conditions that lead to ransom distribution?
The distribution of a ransom is a criminal rather then environmental activity.
Why does density not depend on the size of the sample?
Density is an intensive rather than extensive property.
Is the word Itself reflexive or intensive?
The word itself is intensive. An intensive pronoun is used to emphasize a preceding noun or pronoun, while a reflexive pronoun is used when the subject and object of a sentence are the same. "Itself" does not refer back to the subject of the sentence, but rather intensifies or emphasizes the noun or pronoun it is attached to.
Why would use be made of an intensive labor force rather than using intensive technology?
Intensive labor force could put more emphasis on quality, whereas a ton of intense machinery would just do, do, do without any regard to quality that was not programmed into it.
The difference between an empirical distribution and a theoretical distribution?
Empirical Distribution: based on measurements that are actually taken on a variable. Theoretical Distribution: not constructed on measurements but rather by making assumptions and representing these assumptions mathematically.
Labor-intensive and capital intensive?
Labor-intensive refers to a production process that relies more on human labor than machinery or technology, while capital-intensive refers to a process that relies heavily on machinery, equipment, or capital investment rather than on labor. Labor-intensive industries require more manual work and intensive supervision, while capital-intensive industries involve larger investments in equipment and technology.
What kind of property is temperature?
Temperature is an intensive property, meaning it does not depend on the size or amount of the substance, but rather represents a specific characteristic of the substance at a given moment in time.
Andy solves problems 74 to 125 exclusive in a Math exercise How many problems does he solve?
Exclusive is rather an unusual way to define an integer range! 125 - 74 - 1 = 50.
Decide whether the sentence below is reflexive or intensive?
The sentence "I myself will cook dinner tonight" is intensive, as the pronoun "myself" is used to emphasize the subject "I" rather than to indicate that the subject is performing an action on itself.
Is boiling point an intensive property?
It is a physical property. boiling is just evaporation and all it is is a change in matter from a solid to a gas, therefore being considered a physical change rather than chemical.
