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Statistically Significant
findings that are unlikely to have occurred by chance
What is the Null Hypothesis
H0, the default claim, assume status quo until data says otherwise (never prove the null)
What is the Alternative Hypothesis?
Ha, there was a change
A Null Hypothesis can be
A is less than or equal to B
A Null Hypothesis can be
A is greater than or equal to B
A Null Hypothesis can be
A=B
An Alternative Hypothesis can be
A is greater than B
An Alternative Hypothesis can be
A is less than B
An Alternative Hypothesis can be
A does not equal B
Right tail is
>
Left tail is
Two tail is
=
What do you do to the null
Reject or not reject
Significance Level
Way to determine whether to reject the null by comparing the p-value and the alpha
Reject the null when alpha is
greater than the p-value
When alpha is greater than the p-value
reject the null
Do not reject the null when
alpha is less than the p-value
When alpha is less than the p-value
do not reject the null
The findings are statistically significant when
the p-value is less than the alpha
Type 1 error means
false positive
Type 2 error means…
False negative