Asked by Orion Lavigne on Jul 03, 2024

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The sampling distribution of The sampling distribution of   is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes   and   are large. is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes The sampling distribution of   is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes   and   are large. and The sampling distribution of   is normal if the sampled populations are normal, and approximately normal if the populations are nonnormal and the sample sizes   and   are large. are large.

Sampling Distribution

The likelihood distribution of a specific statistic derived from a random selection.

Independent Sample

Samples that are collected in such a way that the selection of one sample does not influence the selection of another, ensuring that observations between samples are not related.

Normally Distributed

Describes a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean.

  • Evaluate the consequences of t-test analyses to infer about the means of populations.
  • Master the underlying principles that justify the use of the t-test for two independent samples.
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CS
Crystal SinghJul 08, 2024
Final Answer :
True
Explanation :
This statement is true according to the central limit theorem, which states that for large sample sizes, the sampling distribution of means will be approximately normal regardless of the underlying distribution of the population. For smaller sample sizes, the distribution of the population does have an effect on the sampling distribution.