How does a dot plot from repeated samples approximate the exact sampling distribution?
Conditions
- Repeated samples are drawn from the population.
- A dot plot is constructed from the resulting statistics.
Reasoning, step by step
- Draw multiple samples from the fixed population.
- Calculate the statistic for each sample.
- Plot the resulting values on a dot plot.
- Observe that the empirical distribution approximates the true sampling distribution, though it may vary based on the number of repetitions.
Example
The script states: 'A dot plot from repeated samples approximates the sampling distribution. It need not include every possible sample and can vary with the number of simulation repetitions.'
Common misconceptions
- Assuming the dot plot perfectly matches the exact sampling distribution regardless of the number of simulations.
- Believing that every possible sample must be included in the simulation for the approximation to be valid.
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Conditions: A specified random-sampling model is used.; The estimator is the sample proportion.; The target parameter is the population proportion.
A sampling distribution records the probabilities of the statistic’s possible values under repeated sampling, given a fixed population, sampling design, and sample size.
Conditions: The population is fixed.; The sampling design is fixed.; The sample size is fixed.
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