Please provide an example of both a Type I Error and Type II Error

Please provide an example of both a Type I Error and Type II Error

Please provide an example of both a Type I Error and Type II Error. Why is it that increasing the sample size reduces the probability of a Type II error to an acceptable level. Please discuss.
Please read the attached document before answering the question. Work must be 1 FULL page, single spaced, 12 font Times New Roman. The cover and reference page must be on separate pages with at least 5 references. You should have at least one in text citation for every reference and try to use reference other than or in addition to the uploaded textbook. Must contain a properly formatted in-text citation and scholarly reference.

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The Type I error happens when there is a true null hypothesis, but someone decides to make a decision which rejects that hypothesis. This is the reason why this type of error is also known as “not accepting a true null hypothesis”. To avoid this type of error, it’s essential not to ignore them or reject a null hypothesis, which is true. It’s also wrong to conclude that there is an effect when, in a real sense, there is no effect.

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