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21 Cards in this Set

  • Front
  • Back
what is nominal data:
Categorical (Men-Women), (Family Practice, Internal Medicine, Pediatrics), (A,B,AB,O)

-data that you can count but not order or measure
what is ordinal data:
implied order between categories: (Stable Serious Critical) (Stage I II III cancer) (very satisfied to very dissatisfied)
what is interval data:
infinite values, can subtract values: (Continuous) (Discrete)
height, weight, blood pressure
match the type of average with the correct type of data:
... data – Mean
... data – Median
... data - Frequency
Interval
Ordinal
Nominal
Ho represents the ... hypothesis
null
what does this describe:

Chance – Really no difference between the groups
The NULL Hypothesis
what does the following describe:

Something is Going on here (The Pill Works)
The Alternative Hypothesis
H1 represents the ... Hypothesis
Alternative
what does the following describe:

Mathematically equivalent to 0 or 1 depending on the level of measurement
NULL statement
what are the 2 different types of decision methods we discussed in class:
decision point method
confidence interval
This decision point will be measured by the ... This translates into the probability of what we see is due to chance alone
p-value
If the p-value is large, it favors ...
If the p-value is small, it favors ...
Ho
H1
for most published articles p < ...
for drug trials p < ... or p <...
.05
.01
.001
The probability of rejecting the null hypothesis when you should not is what type of error
type I
what is the marker for the null hypothesis when the results are in a ratio form (relative risk or odds ratio) ...
1 represents Ho
the P-value that researchers decide to accept before they will be confident enough to release a finding. This is their predetermined acceptance level. The alpha level is not calculated, it is chosen by the researcher(s)
the alpha level
what is the marker for the null hypothesis when the results are in an interval form ...
0 represents Ho
If the probability of the results of the statistical test are greater than α, (p > .05) then the results (are/are not) statistically significant. we must (accept/reject) the null hypothesis
are not
accept
If the probability or the results of the statistical test are less than α (p < .05) then the results (are/are not) statistically significant. we must (accept/reject) the null hypothesis
are
reject
p > α Then p is large
Accept/Reject Ho
accept
p < α Then p is small
Accept/Reject Ho
reject