Traditional Method->>>>I'm not 100% sure of my answer but gl buddy
Step 1 Identify the Null Hypothesis and the Alternative Hypothesis
Step 2 Identify α (Level of Significance)
Step 3 Find the critical value(s)
Step 4 Find the test statistic
For a Proportion: Hand calculation
TI 83/84 – Use 1PropZTest (See Handout H-404)
For a population mean (with α known):
TI 83/84 - Use Z-Test (See Handout H 404)
For a population mean (with α Not known):
TI 83/84 - Use T-Test (See Handout H-404)
Step 5 Draw a graph and label the test statistic and critical value(s)
Step 6 Make a decision to reject or fail to reject the null hypothesis
Reject - The test statistic falls within the critical region.
Fail to Reject - Test statistic does not fall within the critical
region.
P-Value Method:
<em>P-value is the area determined as follows:</em>
<em> Left Tail Test: p-value is the area to the left of the test statistic.</em>
<em> Right Tail Test: p-value is the area to the right of the test statistic.</em>
<em> Two Tailed Test: p-value is twice the area bounded by the test statistic</em>
<em>Make a decision to reject or fail to reject the null hypothesis:</em>
<em> Reject if p-value ≤ α</em>
<em> Fail to reject if p-value > α</em>