Learning Path
Question & Answer1
Understand Question2
Review Options3
Learn Explanation4
Explore TopicChoose the Best Answer
A
Rejecting a true null hypothesis
B
Failing to reject a false null hypothesis
C
Correctly rejecting the null hypothesis
D
Accepting an alternative hypothesis when it is true
Understanding the Answer
Let's break down why this is correct
Answer
In hypothesis testing, a Type I error occurs when researchers incorrectly reject a true null hypothesis. This means they think there is an effect or difference when, in reality, there isn't one. For example, if a sociologist is studying whether a new teaching method improves student performance and concludes that it does, despite the method having no real impact, they have made a Type I error. This error can lead to misleading findings, causing others to believe in a false conclusion. It's important for researchers to minimize this risk to ensure their results are accurate and reliable.
Detailed Explanation
A Type I error happens when researchers say there is a difference or effect when there really isn't. Other options are incorrect because This option suggests that researchers fail to notice a real difference; This option says researchers correctly find a difference.
Key Concepts
Type I error
Topic
Hypothesis Testing in Sociology
Difficulty
easy level question
Cognitive Level
understand
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