Explain the importance of the statement "Sampling distributions play a key role in the process of statistical interference" stated by the researchers Turner and Dabney.
Explain the importance of the statement "Sampling distributions play a key role in the process of statistical interference" stated by the researchers Turner and Dabney.
Yulia
2021-02-25
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Nathalie Redfern
Answered 2021-02-26
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Sampling distribution:
The probability distribution of the sample statistics when all the possible samples are drawn over the given population is termed as sampling distribution.
Justification: The sampling distribution can be defined as the probability distribution of the sample statistics that is sample mean or the sample variances that can be obtained from the samples of a given size from the population given. Therefore, it is clear that Sampling distributions play a key role in the process of statistical inference.
The probability distribution of the sample statistics when all the possible samples are drawn over the given population is termed as sampling distribution.
Justification: The sampling distribution can be defined as the probability distribution of the sample statistics that is sample mean or the sample variances that can be obtained from the samples of a given size from the population given. Therefore, it is clear that Sampling distributions play a key role in the process of statistical inference.
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