Errors in Testing Hypothesis

Errors can occur in hypothesis testing often due to faulty study design or data collection methods.

• Type I Errors: Occur when a true null hypothesis is incorrectly rejected, often due to random chance or bias in data collection.
• Type II Errors: Happen when a false null hypothesis is mistakenly accepted, usually because of insufficient sample size or low statistical power.
• Impact of Study Design and Data Collection: Faulty study design or poor data collection methods can lead to these errors, affecting the validity of the research findings.