type 1 and 2 errors

• What is a Type 1 error?

  Accepting the alternative hypothesis incorrectly
• When does a Type 1 error occur?

  When the significance level is too lenient
• What happens if the significance level is set too high?

  More significant results are likely found
• What is the consequence of a Type 1 error?

  We reject the null hypothesis incorrectly
• How can we check for a Type 1 error?

  Make the significance level more strict
• What is a Type 2 error?

  Rejecting the alternative hypothesis incorrectly
• When does a Type 2 error occur?

  When the significance level is too strict
• What is the effect of a too strict significance level?

  Less likely to find significant results
• What happens if we make a Type 2 error?

  We accept the null hypothesis incorrectly
• How can we check for a Type 2 error?

  Make the significance level more lenient
• What are the key differences between Type 1 and Type 2 errors?

  • Type 1 Error:
  • Occurs with lenient significance level
  • Rejects null hypothesis incorrectly
  • Type 2 Error:
  • Occurs with strict significance level
  • Accepts null hypothesis incorrectly