Final answer:
Lowering the alpha level and raising the standards for an F to count as 'unlikely' reduces the likelihood of making a Type I error.
Step-by-step explanation:
When we lower our alpha level and have higher standards for an F to count as 'unlikely', our likelihood of making a Type I error decreases. A Type I error occurs when we reject the null hypothesis when in fact it is true. By lowering the alpha level, we are making it less likely to wrongly reject the null hypothesis. This reduces the chances of accepting a false claim.