##### Stats: Hypothesis Testing Steps (Guide)

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created 6 years ago by llozada15
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updated 6 years ago by llozada15
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What is the __%; C.I.? (80%, 90%, 95%, 98%, 99% tipically)

.80 or tail area of .1 = z=1.28

.90 or tail area of .05 z= 1.645

.95 or tail area of .025 z= 1.96

.98, or tail area of .01 z=2.33

.99, or tail area of .005 z= 2.575

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Step 1: State the Hypothesis

What are the null and alternative hypotheses?

• Look at wording and sign
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Step 2: Critical points: what is (are) the critical values?

U or P?

• For mean u, is sigma known or unknown?
• Known sigma; z table, need: area under tail: “guided by simple of Ha Draw a graph
• 2 sided (a/2) (you will have +/- z) or
• 1 sided? (You will have either a –z or +z) left or right?
• Unknown sigma: t table: you will need: df and a or a/2 if two sided. Draw a graph
• Use t table.
• If right sided, you will have a +tcrit
• If left sided, you will have a –tcrit
• If both sided, you will have a +/-tcrit
• For population p, is n large? Yes in this class n>30
• Use z table Draw a graph
• 2 sided (a/2) (you will have +/- z) or
• 1 sided? (You will have either a –z or +z) left or right?
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Step 3: Decision Rule: Rejection Region: reject Ho if:

• “Z or T stat is in the region of Z or Tcrit”
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Step 4: Find test statistic:

• For mean U, sigma known Zstat= x-bar – U(that we want) / (sigma/sqrt(n))
• For mean U, sigma UNknown Tstat= x-bar – U(that we want) / (st. deviation (s) /sqrt(n))
• For population p, n>30, large = Zstat=p-bar-po(that we want)/sqrt( (po(tha we want)*(1-Po(that we want)/n)
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Step 5: Decision:

Fail to reject Ho, or reject the Ho

• You need zcrit and zstat or tcrit and tstat
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Step 6: What is the conclusion?

always write it in terms of the alternative Ha

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Step 7: What is the p value:

Unsure of how to do:

• You do need Zstat or Tstat.
• You also need the direction of Ha, and to know if it’s a right or a left or both sided.