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.
No, it is not possible to accurately predict all male offspring for a particular mating pair. The sex of offspring is determined by the combination of genetic material from both parents, and it is a random process influenced by chance.
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.
Yes, mating within a population is random. However, it is possible for non random mating to occur within a population.
For an experiment to be valid, it needs a control group to compare results, random assignment of participants to groups to minimize bias, manipulation of an independent variable to observe its effect, and reliable measures to accurately record outcomes.
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.