Question: What are some thoughts on this pespectives on sampling error. 1. Sampling error is an error that occurs when a sample does not represent the

What are some thoughts on this pespectives on sampling error.

1. Sampling error is an error that occurs when a sample does not represent the entire population. For instance, if I am conducting a travel survey to see how much people spend on vacation, I have a goal of handling my survey to different family members I met at the airport. The first 100 sample I collected in a different airport met my population target. However, I deviated from my population target when I occasionally meets public figure who partook in my survey and got a sample size of 500. The sample will be different from the true population I am targeting.

An example of Type I error : Tayo tested positive for TB skin test but in reality he does not. This is false positive

An example of Type II error: Tayo tested negative for TB skin test but in reality he does. This is false negative.

What are some thoughts on this perspectives on sample size

2. A sample sizeshould fit within a certain range, what that range is depends on the study. A small sample size may not given enough data, while increasing the sample size increases reliability but also cost and effort. Due to the purpose of a sample being to find the norms of a population, having a large sample size allows for reliability to increase, as more input is given and considered, but will make the research become muddled by the previously insignificant biases and errors magnify in size and become massive issues that could invalidate and entire study. Ensuring an appropriate sample size is important to research studies, as using excessive money, time, and resources on a larger sample size just to receive the same result is pointless, and magnifying previously minor issues will become a growing problem as well.

3. What are some things one can take away from learning about Inferential Statistics--One sample Z and One sample t-test and Variability, The Normal Distribution, Probability, and Intro to Inferential Stats.

4. What is the difference between shared leadership and teamwork? Is there a difference between being a good team member and being a team leader? Can a team have good teamwork but poor team leadership, or vice versa?

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