AP Statistics / Mr. Hansen |
Name: _________________________ |
PHA(S)TPC
Procedures for Hypothesis Testing
“Very Hairy Apes Sometimes Trash People’s Cars”: Mr. Hansen and the
Class of 2001
“Varsity Hockey Always Smashes The Puck Carrier”: Marques M., Class of 2003
“Vociferous Hotheads Always Start Terrible Political Campaigns”: Liam B., Class
of 2003
“Varsity Hockey Always Smells Terrible Post-Contest”: Alex K., Class of 2003
“Please Help All Students To Pass Calculus”: Class of 2004
(Memorize one of these, or make up your own phrase!)
Note 1: Do not write the letters PHASTPC, since they will mean nothing to the
AP graders. Instead, write what is shown in the second column.
Note 2: For confidence intervals, you may leave out most of the steps.
All you have to show are the definitions of your parameters, the
assumptions (stated and checked), the critical value (z* or t*),
the m.o.e. calculation (crit. value times s.e.), and a conclusion. These may be summarized as PA*MC.
ID |
Heading [or optional heading] to write on AP exam |
Example/how to begin |
Comments |
|
P |
[Params.] |
Let ... |
Good idea to use phrases such as “true mean” or “true proportion” to indicate that you’re concerned with parameters. If there are two, ditto marks are fine on second line. Be sure to use the context of the problem. For example, say “true mean boiling point” instead of simply “true mean.” |
|
H |
H0: __________ |
[start filling in as shown at left] |
Hypotheses must be statements about parameters, never about statistics. Choose a 1-sided or 2-sided alternative depending on what it is that you’re trying to gather evidence to conclude. |
|
A |
Assumptions for _____________ test |
SRS [usu. a safe bet!] |
State the name of the test you are using (1-sample t, 2-prop. z, or whatever).
Then state assumptions in abbreviated style and indicate how you have checked
them. For example, if sample size is 47 and the assumption is pop. ≥ 10n,
write this: |
|
(S) |
Sampling distrib. of ____ , assuming H0 is true |
[make sketch centered on hypothesized value for t or z test; make sketch showing a vague skew right distribution starting at 0 for c2 test] |
Optional step, but always worth doing, even after you learn how to do all the other steps by heart. |
|
T |
Test statistic |
t
= ... z
= ... c2 = ... |
In this class, we study only 3 types of
test statistics: t, z, and c2. Choose the one that is appropriate for your
problem. If you use a z test statistic, be sure to cross your z! |
|
P |
[P value] |
P = ____ [shaded area] |
No need to say “by calc.” or “by table” if you made a sketch. |
|
C |
Conclusion in context |
Since P < a = 0.05, we reject H0. There is good evidence (t = 2.108, df = 26, P = 0.0448) that the true mean boiling point is not 79.4 degrees. |
Rules of thumb (imprecise): below .01 is
“very strong,” .01 to .05 is “moderately strong,” .05 to .10 is “some
evidence” or “weak evidence,” above .10 is “no evidence.” Everyone has his
own notion of where these fuzzy cutoff values lie, so don’t be too concerned
about distinguishing between gradations of strength. If your a level (i.e., significance cutoff level) is set in advance, your job
is easy: P < a means there is evidence to reject H0,
while P > a means there is no evidence to reject H0. |
|