Error Mitigation

Error Type Downside $/$ risk of this error Current parameters

Type I $($false

positive$)$ e$.$g$.$ H$0$ is that a market does

not exist. Ha is that a market

does exist. Risk is that we may

conclude from our experiment

that a market exists when for

our product when it doesn$$t$.)($record alpha here$)$

$\backslash$alpha $=$

Type II $($false

negative$)($e$.$g$.$ H$0$ is a potential client is

not a good lead. Ha is that they

are a good lead. Risk is that we

may omit a large number of

potential clients from a contact

list despite the fact that they are

good leads.$)($indicate how you will

mitigate Type II errors here$)$