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- https://stats.libretexts.org/Courses/Luther_College/Psyc_350%3ABehavioral_Statistics_(Toussaint)/05%3A_Sampling_DistributionsThe concept of a sampling distribution is perhaps the most basic concept in inferential statistics. It is also a difficult concept because a sampling distribution is a theoretical distribution rather ...The concept of a sampling distribution is perhaps the most basic concept in inferential statistics. It is also a difficult concept because a sampling distribution is a theoretical distribution rather than an empirical distribution. The introductory section defines the concept and gives an example for both a discrete and a continuous distribution. It also discusses how sampling distributions are used in inferential statistics.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Lane)/09%3A_Sampling_DistributionsThe concept of a sampling distribution is perhaps the most basic concept in inferential statistics. It is also a difficult concept because a sampling distribution is a theoretical distribution rather ...The concept of a sampling distribution is perhaps the most basic concept in inferential statistics. It is also a difficult concept because a sampling distribution is a theoretical distribution rather than an empirical distribution. The introductory section defines the concept and gives an example for both a discrete and a continuous distribution. It also discusses how sampling distributions are used in inferential statistics.
- https://stats.libretexts.org/Courses/Penn_State_University_Greater_Allegheny/STAT_200%3A_Elementary_Statistics/07%3A_Sampling_Distributions_and_the_Central_Limit_Theorem/7.03%3A_The_Sample_ProportionOften sampling is done in order to estimate the proportion of a population that has a specific characteristic.
- https://stats.libretexts.org/Courses/Highline_College/Statistics_Using_Technology_(Kozak)/06%3A_Continuous_Probability_Distributions/6.05%3A_Sampling_Distribution_and_the_Central_Limit_TheoremRemember that the mean of the sample mean is just the mean of the original data (\(\mu_{\overline{x}}=\mu\) ), but the standard deviation of the sample mean, \(\sigma_{\overline{x}}\), also known as t...Remember that the mean of the sample mean is just the mean of the original data (\(\mu_{\overline{x}}=\mu\) ), but the standard deviation of the sample mean, \(\sigma_{\overline{x}}\), also known as the standard error of the mean, is actually \(\sigma_{\overline{x}}=\dfrac{\sigma}{\sqrt{n}}\).
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Shafer_and_Zhang)/06%3A_Sampling_Distributions/6.03%3A_The_Sample_ProportionOften sampling is done in order to estimate the proportion of a population that has a specific characteristic.
- https://stats.libretexts.org/Courses/Queensborough_Community_College/MA336%3A_Statistics/08%3A_Sampling_Distributions/8.03%3A_The_Sample_ProportionOften sampling is done in order to estimate the proportion of a population that has a specific characteristic.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Statistics_with_Technology_2e_(Kozak)/06%3A_Continuous_Probability_Distributions/6.05%3A_Sampling_Distribution_and_the_Central_Limit_TheoremRemember that the mean of the sample mean is just the mean of the original data (\(\mu_{\overline{x}}=\mu\) ), but the standard deviation of the sample mean, \(\sigma_{\overline{x}}\), also known as t...Remember that the mean of the sample mean is just the mean of the original data (\(\mu_{\overline{x}}=\mu\) ), but the standard deviation of the sample mean, \(\sigma_{\overline{x}}\), also known as the standard error of the mean, is actually \(\sigma_{\overline{x}}=\dfrac{\sigma}{\sqrt{n}}\).
- https://stats.libretexts.org/Courses/Rio_Hondo_College/Math_130%3A_Statistics/06%3A_Sampling_Distribution/6.02%3A_The_Sampling_Distribution_for_ProportionsOften sampling is done in order to estimate the proportion of a population that has a specific characteristic.
