In this section we develop inferential methods for a single proportion that are appropriate when the sample size is too small to apply the normal models. Just like the methods related to the t distrib...In this section we develop inferential methods for a single proportion that are appropriate when the sample size is too small to apply the normal models. Just like the methods related to the t distribution, these methods can also be applied to large samples.
In this section we develop inferential methods for a single proportion that are appropriate when the sample size is too small to apply the normal models. Just like the methods related to the t distrib...In this section we develop inferential methods for a single proportion that are appropriate when the sample size is too small to apply the normal models. Just like the methods related to the t distribution, these methods can also be applied to large samples.
In this section we develop inferential methods for a single proportion that are appropriate when the sample size is too small to apply the normal models. Just like the methods related to the t distrib...In this section we develop inferential methods for a single proportion that are appropriate when the sample size is too small to apply the normal models. Just like the methods related to the t distribution, these methods can also be applied to large samples.
In this section we develop inferential methods for a single proportion that are appropriate when the sample size is too small to apply the normal models. Just like the methods related to the t distrib...In this section we develop inferential methods for a single proportion that are appropriate when the sample size is too small to apply the normal models. Just like the methods related to the t distribution, these methods can also be applied to large samples.