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Experiment cannot be predicted in advance is RANDOM EXPERIMENT......
set of all possible outcomes.
outcome that can be predicted with certainity.
when an experiment performed repeatedly- called trial.
Ex. If a coin is tossed,we can't say,whetefr head or tail will appear .so it is a Random Experiment.
Sample Space:-- Possible outcomes of a random experiment..
set of all posssible outcomes..
denoted by--- "S".
and no. of elements is denoted by n(s).
ex. In throwing a dice ,the number that appears at top is any one of 1,2,3,4,5,6 ,So here:
S= 1,2,3,4,5,6 n(s) --- 6
What else can I help you with?
What does the sample space represents?
The sample space represents the set of all possible outcomes of a probabilistic experiment or random process. It serves as a foundation for probability theory, allowing researchers and statisticians to define and analyze events within that context. Each outcome in the sample space is mutually exclusive, meaning only one can occur at a time in any single trial of the experiment. For example, in a coin toss, the sample space consists of two outcomes: heads and tails.
Why the random sample is important in design of experiment?
There are circumstances when it is important and others when it is not. If, for example, you wanted a sample of all schools in the country, it would make more sense to go for cluster sampling. A lot of market research work will require quota sampling. So the supremacy of a random sample is a myth.
What is random distribution in biology?
A random distribution is a random sample set displayed in the form of a bell curve. See random sample set.
How do you select sample size in market research?
to select a random sample you pick them at random
How does sample size affect the experiment?
The sample size determines the accuracy of results in an experiment
The set of all possible outcomes of a random experiment is called?
Sample: The answer is called Sample space.
What is a random sample or one way to reduce when choosing people for an experiment?
bias
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.
What is a study of small group behavior of a selected random sample called?
controlled experiment
What is the difference between random assignment and random sampling?
Random sampling is the sample group of subjects that are selected by chance, without bias. Random assignment is when each subject of the sample has an equal chance of being in either the experimental or control group of an experiment.
What does the sample space represents?
The sample space represents the set of all possible outcomes of a probabilistic experiment or random process. It serves as a foundation for probability theory, allowing researchers and statisticians to define and analyze events within that context. Each outcome in the sample space is mutually exclusive, meaning only one can occur at a time in any single trial of the experiment. For example, in a coin toss, the sample space consists of two outcomes: heads and tails.
What is the set of all possible outcomes of an experiment?
The set of all possible outcomes of a random experiment is nothing but sample space usually denoted by S. we can also call it as event. For example our experiment is rolling a dice, then our sample space is S= {1,2,3,4,5,6}
Science what is a sample taken without bias?
The answer is Random Sample
Difference between random sample and convenience sample?
random sample is a big sample and convenience sample is small sample
Randomization in an experiment means that the experimental units or subjects are selected as a simple random sample from the whole population under study?
False
Why the random sample is important in design of experiment?
There are circumstances when it is important and others when it is not. If, for example, you wanted a sample of all schools in the country, it would make more sense to go for cluster sampling. A lot of market research work will require quota sampling. So the supremacy of a random sample is a myth.
How do you overcome or reduce the problem of random error and systematic error while doing an experiment-?
You can overcome or reduce the problem of random error and systematic error while doing an experiment by increasing the sample size, which means averaging over a huge number of observations.
