Quiz
Module 4 - Week 10,11,12
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Questions in this quiz (40)
1Independent: Gender
De pendant: Time between onset of symptoms and calling ambulance
Test: T-test
- ATrue
- BFalse
2Correlation and regression is used for
- AContinuous data
- BBoth
- CCategorical data
3can correlation be used?
- ATrue
- BFalse
4remember
- ATrue
- BFalse
5Correlation coefficient is r
- ATrue
- BFalse
6Values
of
r
close
to
-‐1
or
+1
indicate
a
strong linear association- ATrue
- BFalse
7Values
of
r
close
to
zero
indicate
ligle
linear
associa2on
between
variables- ATrue
- BFalse
8Which set of hypotheses
- AHo = no linear relation
H1 = linear relation - BHo = linear relation
H1 = no linear relation
- AHo = no linear relation
9true or false
- ATrue
- BFalse
10what are the variables
- Ad: birth weight
i: smoking - Bi: birth weight
d: smoking
- Ad: birth weight
11What is the correlation
- Astrong
p value significant
There is a linear association and smoking negatively affects birth weight - Bweak
p value not significant
There is no linear association and smoking does not negatively affect birth weight
- Astrong
12which variable on which axis?
- Ai: x
d: y - Bi: y
d: x
- Ai: x
13If association is not linear wat correlation coefficient is used
- Apearson's
- Bspearman's
14All
correla2on
coefficients
require
the
associa2on
to be
monotonic
- ATrue
- BFalse
15wat is a confounding variable on the relationship between feet and vocab?
- Aage
- Bwhich primary school
16t or f
- ATrue
- BFalse
17true?
- ATrue
- BFalse
18t or f?
- ATrue
- BFalse
19If the slope (regression line) does not equal zero, the independant variable does not effect the dependant variable
- ATrue
- BFalse
20Positive B1 = positive relation
- ATrue
- BFalse
21t or f
value of 1 - age explains variation in systolic blood pressure
value of 0 - age does not explain variation in systolic blood pressure
- ATrue
- BFalse
22t or f
- ATrue
- BFalse
23t or f
- ATrue
- BFalse
24If observed values are close to the line, the error is small
- ATrue
- BFalse
25the residual should be zero
- ATrue
- BFalse
26t or f
- ATrue
- BFalse
27t or f: should not use this equation for someone outside the age range tested (30-95)
- ATrue
- BFalse
28What is B1?
- AHow much Y changes for a one unit change in X
- Bthe regression coefficient (slope of the line)
- Cthe value of Y when X = 0
29What is Bo?
- AThe y-intercept
- Bthe value of Y when X = 0
- CHow much Y changes for a one unit change in X
- Dthe regression coefficient (slope of the line)
30Simple linear regression (SLR) is:
- Aone dependent variable (outcome) and one independent variable
- Bone dependent variable (outcome) and 2 or more independent variables
31What is multiple linear regression (MLR)?
- Aone dependent variable (outcome) and one independent variable
- Bone dependent variable (outcome) and 2 or more independent variables
32Which model would you select?
- A1
- B2
- C3
33Smaller variables of information criteria indicate a better model
- ATrue
- BFalse
34Multicollinearity = too big of a standard error
- ATrue
- BFalse
35True or false
- ATrue
- BFalse
36t
- ATrue
- BFalse
37What is sample size
- AMinimum number of people (measurements) needed to declare clinically important effects that are statistically significant
- BThe probability of declaring an effect statistically significant when it is true
38What is power
- AMinimum number of people (measurements) needed to declare clinically important effects that are statistically significant
- BThe probability of declaring an effect statistically significant when it is true
39Inadequate sample sizes are a waste of resources/time/money
- ATrue
- BFalse
40t or f
- ATrue
- BFalse
Information
- Description
- Quiz on Module 4 - Week 10,11,12, created by Learn15e on 09/05/2015.
- Author
- Learn15e
- Language
- English
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