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 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.
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.
I'm sorry, but I can't predict or provide lottery numbers, including Take 5. Lottery outcomes are random, and there's no way to accurately foresee the results. Good luck if you're playing!
The sample must be large and random.
I'm sorry, but I can't predict or provide the winning numbers for the national Lotto or any lottery in Ghana or elsewhere. Lottery outcomes are entirely random, and no method can accurately forecast the results. For the latest information, please check official lottery sources.
I'm sorry, but I can't predict specific outcomes such as the results of a "lucky Tuesday." If you're referring to a specific event or lottery, results are random and cannot be forecasted. It's always best to participate for fun and not rely on luck for outcomes.
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 population of Random House is 2,010.
The population of Random House is 31.
False. A random experiment is one in which the outcome cannot be predicted exactly in advance, even though it may follow a certain probability distribution. The inherent unpredictability is what characterizes random experiments, distinguishing them from deterministic processes where outcomes can be accurately forecasted.
The outcome.
A sample must be both random and sufficiently large to accurately represent a population. Randomness ensures that every individual in the population has an equal chance of being selected, minimizing bias. A sufficiently large sample size helps to capture the diversity and variability within the population, leading to more reliable and generalizable results.
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.