Eval Science Flashcards

1
Q

best measurement for range

A

nominal and ordinal

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2
Q

best measurement for interquartile range

A

ordinal

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3
Q

what’s central limit theorem

A

mean follows normal distribution

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4
Q

null hypothesis

A

Xmale-Xfemale=0

Xmale=Xfemale

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5
Q

method to increase power

A

increase sample size

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6
Q

r is…

A

Pearson Coefficent

strength of association

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7
Q

R^2 is

A

coefficent of determination
-strength of association
R^2=r*r

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8
Q

B1

A

regression coefficent

slope

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9
Q

Bo

A

intercept

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10
Q

one sample t test

A

made 2 measurements on same subject

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11
Q

is ANOVA the end of testing?

A

no there’s pairwise comparison

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12
Q

X=continuous

Y=nominal/ordinance

A

logistic regression

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13
Q

t-test, ANOVA: nominal variance only has ___ level

A

2

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14
Q

ANOVA: nominal variance has ____ level

A

2 or more

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15
Q

McNemar example

A

2 anesthetics compared

-each individual receives both

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16
Q

A researcher was running the same statistical test on a number of collected samples. Using an
alpha of 0.05, there were 10 significant results. If the researcher changed alpha to 0.10, you
would expect to have ________ significant results

A

more

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17
Q

T/F: Alpha is proportional to the sample size

A

F

18
Q

T/F: Beta is inversely proportional to the sample size

A

T

19
Q

t/f: Power is inversely proportional to the sample

A

F

20
Q

t/f: A researcher at Ohio State published a paper in which she rejected the null hypothesis in
favor of the alternative hypothesis. The p-value for the research question and subsequent
statistical test was 0.07. She was using an alpha level of 0.05. She should have rejected the
null hypothesis

A

F

21
Q

A researcher at Ohio State published a paper in which she rejected the null hypothesis in
favor of the alternative hypothesis. The p-value for the research question and subsequent
statistical test was 0.07. She was using an alpha level of 0.05. She should have rejected the
null hypothesis: what is the type I error for the experiment?

A

0.07

22
Q

Which term best describes the ability of the statistical test to detect a specified difference if
that difference really exists?

A

power

23
Q

t/f: In a journal article, the authors report that, “… the BEO and BF groups had significantly lower
MGI values at six months (P

A

t

24
Q

t/f: In a journal article, the authors report that, “… the BEO and BF groups had significantly lower
MGI values at six months (P

A

f

25
Q

t/f: In a journal article, the authors report that, “… the BEO and BF groups had significantly lower
MGI values at six months (P0.999

A

f

26
Q

In which type of study are the subjects selected on the basis of whether they do
or do not have a particular disease?

A

case control study

27
Q

In which one of the following study types is a group or groups of individuals
defined on the basis of exposure to a suspected risk factor for disease?

A

longitudinal cohort study

28
Q

Which of the following are descriptive studies?

A

case report
correlational
cross sectional

29
Q

t/f: A prospective cohort study is valuable because it allows investigators to study
rare diseases more easily

A

f

30
Q

t/f: Case-control studies allow studying diseases with long latency periods.

A

t

31
Q

r is

A

a measure of association

32
Q

R^2 is

A

a measure of association

33
Q

Bo is

A

value of Y when X is 0

34
Q

B1 is

A

change in Y for each single unit change in X

35
Q

Which one of the following study types could best be identified as a “snapshot
in time?

A

cross sectional study

36
Q

t/f: Chi-square tests are used to evaluate the dependence or independence of two
nominal or ordinal variables.

A

t

37
Q

t/f: The Wilcoxon Sign Rank test requires nominal or ordinal variables

A

f

38
Q

When the requirements for an independent t-test are not met, the appropriate nonparametric
test would be

A

wilcoxon rank sum test

39
Q

t/f: The t-test can differentiate between two or more groups.

A

f

40
Q

t/f: The ANOVA test requires that the groups all be distributed normally but they can
have different variances.

A

f

41
Q

t/f: When testing 4 groups with ANOVA, if the p-value for the ANOVA test is less than
0.05, then the researcher can say that each of the groups differs from all of the others.

A

f

42
Q

When p is greater than alpha, what do u do with the hull hypothesis?

A

Reject null because no significance