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What else can I help you with?
What two features must a sample have if its to accurately represent a population?
The sample must be large and random.
What is the difference between random variable and random variate?
Random variables is a function that can produce outcomes with different probability and random variates is the particular outcome of a random variable.
What is 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.
The set of all possible outcomes of a random experiment is called?
Sample: The answer is called Sample space.
What is a random sample?
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.
What will tonight's take 5 numbers be?
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!
What two features must a sample have if its to accurately represent a population?
The sample must be large and random.
Is it possible to accuretly predict all male offspring for a paticular mating pair?
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.
What is the difference between random variable and random variate?
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 experiment is one whose outcome can be predicted exactly in advance true false math?
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.
It is a set of all posssible outcomes of a random experiment?
The outcome.
What is the population of Random House?
The population of Random House is 2,010.
What is Random House's population?
The population of Random House is 31.
How many outcomes can you get if you make seven number random phone numbers?
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.
What are some methods of chance?
Methods of chance refer to techniques used to introduce randomness or uncertainty into a process. Common examples include random sampling, where individuals are selected randomly from a population; Monte Carlo simulations, which use random sampling to estimate mathematical outcomes; and lotteries, where outcomes are determined by random draws. These methods are often employed in statistics, gambling, and decision-making to mitigate bias and ensure fairness.
What the deference between variable and variate?
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.
What two features must a sample have it if is to accurately represent a population?
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.
