Title: Competition
1 Competition
2Wiederholungssendung
The name of a famous Russian mathematician is
A Smirnoff
B Gorbatschoff
C Kolmogoroff
D Stroganoff
3Wiederholungssendung
The name of a famous Russian mathematician is
A Smirnoff
B Gorbatschoff
C Kolmogoroff
D Stroganoff
4Wiederholungssendung
The name of a famous English statistician is
A Miller
B Fisher
C Churchill
D Butler
5Wiederholungssendung
The name of a famous English statistician is
A Miller
B Fisher
C Churchill
D Butler
6Wiederholungssendung
In order to describe the relation of two
categorial variables, we use
A Boxplots
B Cross tables
C Histograms
D Bar plots
7Wiederholungssendung
In order to describe the relation of two
categorial variables, we use
A Boxplots
B Cross tables
C Histograms
D Bar plots
8Wiederholungssendung
In order to describe the distribution of a
continuous variable in several groups we use
A Boxplots
B Cross tables
C Histograms
D Bar plots
9Wiederholungssendung
In order to describe the distribution of a
continuous variable in several groups we use
A Boxplots
B Cross tables
C Histograms
D Bar plots
10Wiederholungssendung
100 measurements of a continuous variable are to
be displayed in a histogram. How many bins should
the histogram approximately have?
A 1 Bin
B 10 Bins
C 100 Bins
D 1000 Bins
11Wiederholungssendung
100 measurements of a continuous variable are to
be displayed in a histogram. How many bins should
the histogram approximately have?
A 1 Bin
B 10 Bins
C 100 Bins
D 1000 Bins
12Wiederholungssendung
Which is the most robust measure of location for
continuous data?
A Mean
B 1st Quartile
C Standard deviation
D Median
13Wiederholungssendung
Which is the most robust measure of location for
continuous data?
A Mean
B 1st Quartile
C Standard deviation
D Median
14Wiederholungssendung
The maths grades of girls and boys of a school
class are compared in a cross table (rowsgrades,
columns gender). Which quantities are most
informative for the comparison of grades within
each group?
A Relative frequencies
B Row
C Column
D Total
15Wiederholungssendung
The maths grades of girls and boys of a school
class are compared in a cross table (rowsgrades,
columns gender). Which quantities are most
informative for the comparison of grades within
each group?
A Relative frequencies
B Row
C Column
D Total
16Wiederholungssendung
The binary endpoint pain (yes/no) is measured
twice a day (morning, evening) for each
participant of a clinical trial. Which are the
variables that constitute the rows/columns in a
cross table?
A Pain, Time
B Patient , Pain
C Pain (morning), Pain (evening)
D Time (morning), Time (evening)
17Wiederholungssendung
The binary endpoint pain (yes/no) is measured
twice a day (morning, evening) for each
participant of a clinical trial. Which are the
variables that constitute the rows/columns in a
cross table?
A Pain, Time
B Patient , Pain
C Pain (morning), Pain (evening)
D Time (morning), Time (evening)
18Wiederholungssendung
The distribution of a continuous variable is
skewed to the right. Thus,
A Mode Median
B Median gt 65 Quantile
C 1.Quartile gt Mean
D Median lt Mean
19Wiederholungssendung
The distribution of a continuous variable is
skewed to the right. Thus,
A Mode Median
B Median gt 65 Quantile
C 1.Quartile gt Mean
D Median lt Mean
20Wiederholungssendung
The distribution of a continuous variable is
skewed to the left. A typical boxplot looks like
A
B
C
D
21Wiederholungssendung
The distribution of a continuous variable is
skewed to the left. A typical boxplot looks like
A
B
C
D
22Wiederholungssendung
A t-Test at a 5 type I error level should be
preferred over the Offenbach Oracle because
A It produces only 5 false positives
B It produces less true negatives
C It does not make any assumption about the null
distribution
D It produces less false negatives
23Wiederholungssendung
A t-Test at a 5 type I error level should be
preferred over the Offenbach Oracle because
A It produces only 5 false positives
B It produces less true negatives
C It does not make any assumption about the null
distribution
D It produces less false negatives
24Wiederholungssendung
The decision boundary for a one-sided test
statistic is d7 at a significance level of a5.
A valid acceptance region A for a corresponding
two-sided test is
A A -10,10
B A -5,5
C A (8,-10 ? 10,8)
D A (8,-5 ? 5,8)
25Wiederholungssendung
The decision boundary for a one-sided test
statistic is d7 at a significance level of a5.
A valid acceptance region A for a corresponding
two-sided test is
A A -10,10
B A -5,5
C A (8,-10 ? 10,8)
D A (8,-5 ? 5,8)
26Wiederholungssendung
A two-group t-test at a significance level of
a1 yields a p-value of p0.011. One can
conclude that
A There is a difference between the two groups
B The type II error of the test is too high
C There is no significant difference
D The significance level has to be adjusted
27Wiederholungssendung
A two-group t-test at a significance level of
a1 yields a p-value of p0.011. One can
conclude that
A There is a difference between the two groups
B The type II error of the test is too high
C There is no significant difference
D The significance level has to be adjusted
28Wiederholungssendung
A two-sided (symmetrical) test at a significance
level of a5 yields a p-value of p0.002. One
can conclude that
A There is a differnce between the groups
B The one-sided test would also be positive
C The test at a level of a1 would also be
positive
D The result is significant at a 1-level
29Wiederholungssendung
A two-sided (symmetrical) test at a significance
level of a5 yields a p-value of p0.002. One
can conclude that
A There is a differnce between the groups
B The one-sided test would also be positive
C The test at a level of a1 would also be
positive
D The result is significant at a 1-level
30Congratulations!