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Answers
1
Reflects existing disease in a population?
Prevalence
Coincidence
Accidence
Incidence
2
What type of data is considered Blood pressure?
Ordinal
Ratio
Nominal
Interval
3
What is the type II Error in this context?
They consider building a new cafeteria when they should.
They don't consider building a new cafeteria when they should.
They don't consider building a new cafeteria when they shouldn'
They consider building a new cafeteria when they shouldn't.
4
Which of the following has the lowest probability of Type II error
P=.80
P=.85
P=.70
P=.75
5
RASS Scale in ICU sedation. What type of DATA?
Nominal
Interval
Ordinal
Ratio
6
Which medication do you recommend?
Drug A: 2 mg/dL (p > 0.2)
Drug D: 20 mg/dL (p = 0.05)
Drug C: 10 mg/dL (p < 0.5)
Drug B: 8 mg/dL (p < 0.005)
7
P-value tells us what
Clinically significant
More than 2 of the above
The size of the effect
Statistically significant
8
The likelyhood of a positive when a positive exist is Specificity
False
True
9
Under which of the following conditions would the testers commit a Type II error?
The batch actually contains the toxin, and they conclude it does not.
Batch does not actually contain the toxin, and they conclude it does not
Batch does not actually contain the toxin, and they conclude it does
The batch actually contains the toxin, and they conclude it does.
10
Which of the following treatments would you prefer to be on [ratio (95% CI)]?
0.8 (0.7, 0.11)
0.3 (0.2, 4)
0.6 (0.4, 7.6)
3.6 (3.2, 4.6)
11
The ability of a diagnostic test to correctly identify individuals without the disease
Specificity
Selectivity
Telekenisis
Sensitivity
12
Which medication do you recommend?
Drug C: 9 lbs (p = 0.04)
Drug B: 3 lbs (p < 0.015)
Drug A: 1 lb (p > 0.06)
Drug D: 11 lbs (p = 0.5)
13
Are these statistically significant results? Relative Risk Ratio = 0.84 (0.74 to 1.23)
NO
Yes
14
The assertion that no difference exists between the groups
Alternative Hypothesis
Retrospective Hypothesis
Null Hypothesis
More than 2 of the above
15
Are these statistically significant results? Difference = -4.5 (-6.3 to 1.5)
NO
Yes
16
Effect of low dose aspirin use on all-cause mortality. Odds Ratio = 0.54 (95% CI, 0.47-0.98)
Not statistically Significant
Dependent Variable: Aspirin
Independent variable: All-cause mortality
None of the Above
17
What would be the consequence of a Type I error in this context?
The batch is kept when it actually contains the toxin.
The batch is kept when it actually contains the toxin.
The batch is discarded when it actually doesn't contain the toxin.
The batch is discarded when it actually contains the toxin.
18
If the significance level was lowered to alpha=0.01 which of the following would be true?
Probability of a Type II error would decrease and the power would increase
Probability of Type II error would increase and the power would decrease
Both probability of a Type II error and power of the test would increase
Both probability of a Type II error and power of the test would decrease
19
Birth years of students in a statistics class?
Ration
Ordinal
Interval
Nominal
20
Which of the following treatments would you prefer to be on [difference (95% CI)]?
0.5 (-0.7, 0.11)
6 (0.8, 7.2)
3.2 (0.2, 4)
3 (-3.1, 4.5)
21
Rejecting the null hypothesis when the null hypothesis is true
Type 1 Error
Power<20%
More than 2 of the above
Type 2 Error
22
Alpha is the probability of making a ______ error
Type 2
Type 1
