Final WGU
Hypothesis
is an assumption about a population parameter such as a mean or a proportion
null hypothesis (H0)
-represents the status quo
-states a belief that the population parameter is ≤, =, or ≥ a specific value
-believed to be true unless there is overwhelming evidence to the contrary
alternative hypothesis (H1)
-represents the opposite of the null hypothesis
-believed to be true if the null hypothesis is found to be false
-always states that the population parameter is >, ≠, or < a specific value
pg. 1
, two-tail hypothesis test
is used whenever the alternative hypothesis is expressed as ≠
one-tail hypothesis test
is used when the alternative hypothesis is stated as < or >
Type I error
-occurs when the null hypothesis is rejected when it is true
-when it occurs the producer is looking for a problem in its process that does not
exist
Type II error
-occurs when we fail to reject the null hypothesis when it is not true
-when it occurs the customer is getting a product from a process that is not
performing properly
pg. 2