sample space वाक्य
उदाहरण वाक्य
मोबाइल
- :With the interpretation of the experiment out of the way, there is still the choice of sample space.
- The sample space, S, of our model comprises the set of all possible pairs ( age, height ).
- The distribution heterogeneity causes spatial dependence between measured values in ordered sets determined in sampling units and sample spaces.
- The confidence interval is part of the parameter space, whereas the acceptance region is part of the sample space.
- Taking another tack, now consider the sample space of an experiment which is an infinite series of coin tosses.
- There can be issues when the sample space is used as a mathematical _ model for a real-world problem.
- According to my model, the event'coin lands on edge'has probability 0, because it is not in the sample space.
- To have the best sampling strategy for stratified tanks, is to collect various time-integrated samples spaced evenly throughout each discharge.
- For example, if the experiment is tossing a coin, the sample space is typically the set { head, tail }.
- Numerical differentiation of I ( V ) with respect to V would include the contributions from the varying tip-sample spacing.
- No " sample space " is involved in my first observation; it's just a fact of arithmetic, involving no probability.
- Of course, the choice of sample space is a subjective decision, but that doesn't stop me from having an opinion.
- This means the sample space ? must consist of all possible infinite sequences of " H " or " T ":
- Since spatial resolution depends on the tip-sample spacing, smaller tip-sample spacings and higher topographic resolution blur the features in tunneling spectra.
- This algorithm proceeds by randomly attempting to move about the sample space, sometimes accepting the moves and sometimes remaining in place.
- In that context, a random variable is understood as a function defined on a sample space whose outputs are numerical values.
- An IID sequence does not imply the probabilities for all elements of the sample space or event space must be the same.
- The Dirac measure is a probability measure, and in terms of probability it represents the almost sure outcome in the sample space.
- For example, I may define the sample space for a fair coin-toss to be { H, T } for Heads and Tails.
- This mathematical definition of probability can extend to infinite sample spaces, and even uncountable sample spaces, using the concept of a measure.
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