No. Only a census can ACCURATELY predict the outcomes: a random sample cannot.
The sample must be large and random.
Random variables is a function that can produce outcomes with different probability and random variates is the particular outcome of a random variable.
A random variable is a function that assigns unique numerical values to all possible outcomes of a random experiment. A real valued function defined on a sample space of an experiment is also called random variable.
Sample: The answer is called Sample space.
A random sample is a selection from the population of interest where each item (persons, households, widgets, etc.) has an equal chance of being selected. The idea being that measuring a random sample of sufficient size will accurately (within a margin of error) reflect the "true" value that exists in the population - while at the same time reducing your study to a manageable size. A random sample is integral in good survey design to reduce bias in your experiment.
The sample must be large and random.
a vairable which outcomes are recorded with an estimate on it
Random variables is a function that can produce outcomes with different probability and random variates is the particular outcome of a random variable.
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.
The outcome.
The population of Random House is 2,010.
The population of Random House is 31.
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.
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 way to model random events, such that simulated outcomes closely match real-world outcomes. By observing simulated outcomes, researchers gain insight on the real world.
Yes, mating within a population is random. However, it is possible for non random mating to occur within a population.
What all the ideal non-real conditions of the Hardy-Weinberg equilibrium predict; no evolution takes place. Mating is assortative, non-random in the real world and sexual selection is at work when assortative mating takes place, thus evolution.