Download presentation

Presentation is loading. Please wait.

Published byRebecca Ryan Modified over 4 years ago

1
1 Competition

2
2 Wiederholungssendung The name of a famous Russian mathematician is … A: Smirnoff B: Gorbatschoff C: Kolmogoroff D: Stroganoff

3
3 Wiederholungssendung The name of a famous Russian mathematician is … A: Smirnoff B: Gorbatschoff C: Kolmogoroff D: Stroganoff

4
4 Wiederholungssendung The name of a famous English statistician is … A: Miller B: Fisher C: Churchill D: Butler

5
5 Wiederholungssendung The name of a famous English statistician is … A: Miller B: Fisher C: Churchill D: Butler

6
6 Wiederholungssendung In order to describe the relation of two categorial variables, we use A: Boxplots B: Cross tables C: Histograms D: Bar plots

7
7 Wiederholungssendung A: Boxplots B: Cross tables C: Histograms D: Bar plots In order to describe the relation of two categorial variables, we use

8
8 Wiederholungssendung A: Boxplots B: Cross tables C: Histograms D: Bar plots In order to describe the distribution of a continuous variable in several groups we use

9
9 Wiederholungssendung A: Boxplots B: Cross tables C: Histograms D: Bar plots In order to describe the distribution of a continuous variable in several groups we use

10
10 Wiederholungssendung A: 1 Bin B: 10 Bins C: 100 Bins D: 1000 Bins 100 measurements of a continuous variable are to be displayed in a histogram. How many bins should the histogram approximately have?

11
11 Wiederholungssendung A: 1 Bin B: 10 Bins C: 100 Bins D: 1000 Bins 100 measurements of a continuous variable are to be displayed in a histogram. How many bins should the histogram approximately have?

12
12 Wiederholungssendung A: Mean C: Standard deviation D: Median Which is the most robust measure of location for continuous data? B: 1 st Quartile

13
13 Wiederholungssendung A: Mean C: Standard deviation D: Median B: 1 st Quartile Which is the most robust measure of location for continuous data?

14
14 Wiederholungssendung A: Relative frequencies C: Column % D: Total % The maths grades of girls and boys of a school class are compared in a cross table (rows=grades, columns = gender). Which quantities are most informative for the comparison of grades within each group? B: Row %

15
15 Wiederholungssendung A: Relative frequencies C: Column % D: Total % B: Row % The maths grades of girls and boys of a school class are compared in a cross table (rows=grades, columns = gender). Which quantities are most informative for the comparison of grades within each group?

16
16 Wiederholungssendung A: Pain, Time C: Pain (morning), Pain (evening) D: Time (morning), Time (evening) 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? B: Patient #, Pain

17
17 Wiederholungssendung A: Pain, Time C: Pain (morning), Pain (evening) D: Time (morning), Time (evening) B: Patient #, Pain 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?

18
18 Wiederholungssendung A: Mode = Median C: 1.Quartile > Mean D: Median < Mean The distribution of a continuous variable is skewed to the right. Thus, B: Median > 65% Quantile

19
19 Wiederholungssendung A: Mode = Median C: 1.Quartile > Mean D: Median < Mean B: Median > 65% Quantile The distribution of a continuous variable is skewed to the right. Thus,

20
20 Wiederholungssendung A: C: D: B: The distribution of a continuous variable is skewed to the left. A typical boxplot looks like:

21
21 Wiederholungssendung A: C: D: B: The distribution of a continuous variable is skewed to the left. A typical boxplot looks like:

22
22 Wiederholungssendung A: It produces only 5% false positives B: It produces less true negatives D: It produces less false negatives A t-Test at a 5% type I error level should be preferred over the Offenbach Oracle because C: It does not make any assumption about the null distribution

23
23 Wiederholungssendung 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 A t-Test at a 5% type I error level should be preferred over the Offenbach Oracle because

24
24 Wiederholungssendung The decision boundary for a one-sided test statistic is d=7 at a significance level of α=5%. A valid acceptance region A for a corresponding two-sided test is: A: A = [-10,10] C: A = (,-10] [10, ) D: A = (,-5] [5, ) B: A = [-5,5]

25
25 Wiederholungssendung A: A = [-10,10] C: A = (,-10] [10, ) D: A = (,-5] [5, ) B: A = [-5,5] The decision boundary for a one-sided test statistic is d=7 at a significance level of α=5%. A valid acceptance region A for a corresponding two-sided test is:

26
26 Wiederholungssendung A two-group t-test at a significance level of α=1% yields a p-value of p=0.011. 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

27
27 Wiederholungssendung 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 A two-group t-test at a significance level of α=1% yields a p-value of p=0.011. One can conclude that

28
28 Wiederholungssendung A two-sided (symmetrical) test at a significance level of α=5% yields a p- value of p=0.002. 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 α=1% would also be positive D: The result is significant at a 1%-level

29
29 Wiederholungssendung A: There is a differnce between the groups B: The one-sided test would also be positive C: The test at a level of α=1% would also be positive D: The result is significant at a 1%-level A two-sided (symmetrical) test at a significance level of α=5% yields a p- value of p=0.002. One can conclude that

30
30 Congratulations!

Similar presentations

Presentation is loading. Please wait....

OK

25 seconds left…...

25 seconds left…...

© 2018 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Ppt on trial and error dvd Ppt on training and development in banks Ppt on ufo and aliens facts How to run ppt on ipad 2 Ppt on chapter resources and development class 10 Ppt on desert animals and plants Ppt on uk economy Download ppt on harmonics in power system Ppt on linear equations in two variables tables Download ppt on mind controlled robotic arms and legs