Outcomes occur at random when they result from processes that are inherently unpredictable and influenced by chance rather than deterministic factors. This randomness can be observed in scenarios like rolling dice, drawing cards, or natural phenomena, where each possible outcome has a defined probability. The lack of a discernible pattern or influence ensures that each occurrence is independent of previous ones, leading to varied and unexpected results over time.
The answer depends on what you are measuring. The random variable could be:whether or not the phone rings (27 = 128 outcomes)whether or not the phone is answered (128 outcomes)whether a male or female answers (37 = 2187 outcomes - including no answer).Other variables will generate other outcomes.
A random variate is a particular outcome of a random variable: the random variates which are other outcomes of the same random variable would have different values.
There are a number of definitions. In mathematics, it depends on the context that the word is used. One definition is for a "random event" where all outcomes are equally likely to occur. A random selection of lottery numbers means that in the long run, no one number is likely to occur more than another one. Random events are typically considered independent random events, in that one event can not affect the outcome of another one. A "random variable" means that the probability of any value occurring corresponds to a given probability distribution function. There is a common use of random, which means to act without a plan. See related link
Random events are events that do not have a determined outcome. The set of possible outcomes for a random event is always greater than one item.
· A variable whose values are determined by the outcomes of a random experiment is called a random variable. A random variable is a discrete random variable if it can assume values, which are finite or countable infinite. For example, tossing of a die is a random experiment and its outcomes 1, 2, 3, 4, 5 and 6 are discrete random variable. When a coin is tossed, its outcomes head and tail are discrete random variable. Three coins are thrown; the number of heads is example of discrete random variable. Note that the outcomes need ot be integers or even numbers (eg colour of eyes). · If a random variable can assume every possible value in an interval [a, b], a< b, where a and b may be - infinity and + infinity respectively, for example, the points on number line between 0 and 1; Value of 'x' between 0 and 2; Number of heads on a coin when it is tossed infinite times.
Truly random refers to events or outcomes that occur without any predictable pattern or influence, making them unpredictable and independent of any external factors.
Random change refers to a process where outcomes occur without any pattern or predictability. It is characterized by uncertainty and lack of control over the direction or magnitude of the change. Random change can occur in various aspects of life, such as genetics, behavior, or environmental factors.
No. Only a census can ACCURATELY predict the outcomes: a random sample cannot.
Random variables is a function that can produce outcomes with different probability and random variates is the particular outcome of a random variable.
Its probability.
The outcome.
The answer depends on what you are measuring. The random variable could be:whether or not the phone rings (27 = 128 outcomes)whether or not the phone is answered (128 outcomes)whether a male or female answers (37 = 2187 outcomes - including no answer).Other variables will generate other outcomes.
A random variate is a particular outcome of a random variable: the random variates which are other outcomes of the same random variable would have different values.
There are a number of definitions. In mathematics, it depends on the context that the word is used. One definition is for a "random event" where all outcomes are equally likely to occur. A random selection of lottery numbers means that in the long run, no one number is likely to occur more than another one. Random events are typically considered independent random events, in that one event can not affect the outcome of another one. A "random variable" means that the probability of any value occurring corresponds to a given probability distribution function. There is a common use of random, which means to act without a plan. See related link
Random events are events that do not have a determined outcome. The set of possible outcomes for a random event is always greater than one item.
Mutations that occur at random are called spontaneous mutations.
· A variable whose values are determined by the outcomes of a random experiment is called a random variable. A random variable is a discrete random variable if it can assume values, which are finite or countable infinite. For example, tossing of a die is a random experiment and its outcomes 1, 2, 3, 4, 5 and 6 are discrete random variable. When a coin is tossed, its outcomes head and tail are discrete random variable. Three coins are thrown; the number of heads is example of discrete random variable. Note that the outcomes need ot be integers or even numbers (eg colour of eyes). · If a random variable can assume every possible value in an interval [a, b], a< b, where a and b may be - infinity and + infinity respectively, for example, the points on number line between 0 and 1; Value of 'x' between 0 and 2; Number of heads on a coin when it is tossed infinite times.