Instructions

Need to do in 1 page double spaced| APA referencing | can use outside source |

Include a bibliography at the bottom of your post. No need of peer reviewed

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When considering statistical inference, it is important to ensure that the sample used

is generalizable to the actual population being estimated. Sampling errors result may

create biases that cause the actual error term to be much larger than the standard error.

This, in turn, may lead to Type I and Type II errors even though the critical test

statistics and p-values are outside the rejection region. Define and discuss non-

response bias, undercoverage, and response bias. Identify specific scenarios in

business research that could lead to these types of biases. Finally, explain how to

prevent them from affecting the data collection.

Provide any references that you use in APA format, and include a bibliography at the

bottom of your post.

Discussion posts must reference at least 2 peer-reviewed joumal articles published

within the past 5 years.