BASIC STATISTICS AND COMPUTOR-BASED STATISTICAL ANALYSES, 2016
COURSE CODE: 4FH059
DURATION: 7TH November – 9th December
Course week 1
Monday
Tuesday
Wednesday
Thursday
Friday
7th november
8th november
9th november
10th november
11th november
Course introduction
Introduction to SPSS
Stephen
Stephen
(Karolina)
(Computor room 1st floor)
Gaetano
(Charles)
10.15-10.30
Break
Break
Break
Break
Data entry,
transformations and
management in SPSS
Stephen
Confidence Intervals for
means and proportions
Differences in proportions,
Chi-square and fishers test
Gaetano
Self-study
10.30-12.00
Types of data (continuous,
ordinal etc.)
Gaetano
Frequencies, Measures of
central tendency and
dispersion
SPSS session on measures
of frequency, central
tendency and dispersion
SPSS sessions on
hypothesis testing
Gaetano
(Computor room)
Self-study
Gaetano
Stephen
Exercise sessions on
probability and empirical
distribution
Gaetano
(Charles)
Frequencies, Measures of
central tendency and
dispersion
SPSS session on
frequencies, measures of
central tendency and
dispersion
SPSS sessions on ChiSquare and Fisher test
Gaetano
Self-study
Contd.
Gaetano
Self-study
9.00 -10.15
Probability and empirical
distributions
Hypothesis testing
Conceptual hypotheses &
hypothesis testing, Type I
& II errors
Self-study
(Wretlindsal)
Gaetano
Lunch
13.15 – 14.15
14.15 – 14.30
14.30-15.30
Gaetano
15.30-16.00
Contd.
Gaetano
Contd.
SPSS sessions on
Confidence Intervals for
means and proportions
Gaetano
Contd.
Gaetano
SCHEDULE
BASIC STATISTICS AND COMPUTOR-BASED STATISTICAL ANALYSES, 2016
Course week 2
Monday
Tuesday
Wednesday
Thursday
Friday
14th november
15th november
16th november
17th november
18th november
Self-study
(Wangiri)
Break
SPSS KolmogorovSmirnov test
Yang
(Computor room)
Break
ANOVA and post-hoc
tests
Yang
Non-parametric Statistics
Yang
SPSS Mann-Whitney test
Yang
Self-study
Student t-test:
Independent samples
Yang
(Wangiri)
Break
SPSS t-test, ANOVA
Yang
Non-parametric Statistics
Yang
SPSS Wilcoxon test
Yang
Self-study
(Computor room)
Break
(Wangiri)
Break
(Computor room)
Break
14.30-15.30
Student t-test: paired
samples
Yang
SPSS t-test, ANOVA
Yang
Non-parametric Statistics
Yang
SPSS Kruskall-Wallis test
Yang
Exercises
Self-study
15.30-16.00
Student t-test:
Independent samples
Yang
9.00 -10.15
10.15-10.30
10.30-12.00
Group 1 – Group 2
review of week 1
Stephen
(Wangiri)
Break
ANOVA and post-hoc
tests
Yang
(Wangiri)
Break
Non-parametric Statistics
Yang
Feedback and discussions
Stephen
Lunch
13.15 – 14.15
14.15 – 14.30
Break
Self-study
Self-study
SCHEDULE
BASIC STATISTICS AND COMPUTOR-BASED STATISTICAL ANALYSES, 2016
Course week 3
9.00 -10.15
10.15-10.30
10.30-12.00
Monday
Tuesday
Wednesday
Thursday
Friday
21st november
22nd november
23rd november
24th november
25th november
Group 3 – Group 4
review of week 2
Stephen
(Charles)
Break
Diagnostic tests and
quality of measurement
Zhangin
(Charles)
Break
Diagnostic test and quality
of measurement
Zhangin
(Charles)
Break
Self- study
Re-exam Introduction to
public health sciences
Feedback and discussions
Stephen
Contd.
Zangin
Contd.
Zangin
Self- study
Re-exam Introduction to
public health sciences
Correlation: Pearson and
Spearman coefficients
(Charles)
Break
SPSS Diagnostic test
Zangin
(Computor room)
Break
Self- study
Self- study
Re-exam Introduction to
public health sciences
Break
Break
Break
Correlation: Pearson and
Spearman coefficients
SPSS
(Computor room)
Exercises
SPSS Quality of
measurement
Zangin
Self- study
Self- study
Re-exam Introduction to
public health sciences
Contd.
Self- study
Self- study
Re-exam Introduction to
public health sciences
Break
Lunch
13.15 – 14.15
14.15 – 14.30
14.30-15.30
15.30-16.00
SCHEDULE
BASIC STATISTICS AND COMPUTOR-BASED STATISTICAL ANALYSES, 2016
Course week 4
Monday
Tuesday
Wednesday
Thursday
Friday
28th november
29th november
30th november
1st december
2nd december
Estimation of regression
coefficients, R-square and
F-test for model fit
Stephen
(Wangiri)
Break
SPSS Linear regression
Stephen
Introduction to simple
logistic regression
Stephen
Diagnostic test in logistic
regression
Stephen
(Computor room)
Break
(Wangiri)
Break
(Wangiri)
Break
Feedback and discussions
Stephen
Contd.
SPSS Linear regression
Stephen
Logistic regression:
continuous vs. categorical
independent variable
Stephen
Contd.
Multiple Linear
regression: rationale and
assumptions
Stephen
SPSS Linear regression
Stephen
14.15 – 14.30
Break
Multiple Logistic
regression.
Stephen
(Wangiri)
Break
Self-study
13.15 – 14.15
Introduction to Simple
Linear regression
Stephen
SPSS Linear regression
Stephen
Contd. Stephen
Self-study
Contd. Stephen
Contd. Stephen
Self-study
9.00 -10.15
10.15-10.30
10.30-12.00
Group 5
review of week 3
Stephen
(Wangiri)
Break
Lunch
14.30-15.30
15.30-16.00
Linear regression:
continuous vs. categorical
independent variable
Stephen
Contd.
Estimation of regression
coefficients, R-square and
F-test for model fit
Stephen
Contd.
(Computor room)
Break
Break
SCHEDULE
BASIC STATISTICS AND COMPUTOR-BASED STATISTICAL ANALYSES, 2016
Course week 5
9.00 -10.15
10.15-10.30
10.30-12.00
Monday
Tuesday
Wednesday
Thursday
Friday
5th december
6th december
7th december
8th december
9th december
SPSS Logistic regression
Stephen
(Computor room)
Break
Review of week 4
Stephen
(Wangiri)
Break
Self-Study
FINAL THEORY EXAM
(9.00 – 13.00)
Break
(MF-Salen)
SPSS Logistic regression
Stephen
Feedback and discussions
Stephen
Self-Study
SPSS Logistic regression
Stephen
(Computor room)
Break
Course summation
Stephen
(Wangiri)
Break
Self-Study
Contd.
Contd.
Self-Study
Contd.
Contd.
Self-Study
Lunch
13.15 – 14.15
14.15 – 14.30
Break
14.30-15.30
15.30-16.00
Course Leader: Assoc. Prof Stephen Lawoko
Main Tutors: Stephen Lawoko; Gaetano Marrone; Yang Cao; Zangin Zeebari
FINAL PRACTICAL
EXAM
(9.00-13.00)
(Wangiri)