What type of error is associated with the probability making a false positive?Question 15Answera.Type II errorb.Nonec.Powerd.Type I error

Problem Breakdown

1. Identify the types of errors in hypothesis testing.
2. Understand the definitions of Type I and Type II errors.
3. Relate the definitions to the context of false positives.

Relevant Concepts

1. Type I Error (False Positive): Occurs when the null hypothesis is rejected when it is actually true. This means a result has been observed that suggests an effect or difference when none exists.
2. Type II Error (False Negative): Occurs when the null hypothesis is not rejected when it is actually false. This means failing to detect an effect or difference that is actually present.

Analysis and Detail

• In the context of the given question, making a false positive directly relates to making an incorrect conclusion that a condition or effect is present when it is not. This is precisely what a Type I error represents.

Verify and Summarize

• Based on the definitions:
  • Type I Error: False Positive
  • Type II Error: False Negative
• The question specifically asks about false positives, confirming that Type I error is the correct choice.

Final Answer

d. Type I error