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When would it be beneficial to use exclusive distribution rather than intensive distribution?
Wiki User
∙ 11y ago
when you multiply it by 2, then you get the wrong answer then you just go play black ops 2
Wiki User
∙ 11y ago
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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
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.
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.
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.
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.
What does distribute in kind mean?
A distribution made in the form of stock rather than cash.
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.
What is fragmentation of ecosystem?
What i have come to believe is that fragmentation is where there are clumps of species, rather than an even distribution.
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!!
Mass intensive or extensive?
Intensive properties are not determined by the amount of a substance, rather the properties are inherent to the substance in question. Properties such as chemical reactivity, boiling point, density, etc are examples of intensive properties. Extensive properties are determined by the amount of substance that is present, mass falls under this category because it increases as the number of substance molecules increase.
What are the features of mass production?
One of the main features of mass production is the firm being highly mechanized (capital intensive), rather than the use of manual labour (labour intensive). Specialization is also another feature of mas production. make it easier to understand
