Transcript Slide 1
Service Teaching, a Drop-in
Help Centre and Statistics
CDC Steele
University of Manchester
Service Teaching in Statistics by
School of Mathematics
Service Teaching in Statistics by
School of Mathematics
• Service Teaching : Teaching by school of
maths to students in other schools.
– Teach methods that will help students with
their other courses
– Provide tools that will give general help to
students in courses and in subsequent career
– Provide discipline that will help generally in
parent discipline
– Provide enough theory that tools and methods
can be adapted for unseen situations
Service Teaching in Statistics
• Service Teaching : Teaching by school of
maths to students in other schools.
– Teach students to carry out simple tests in
analysis of data e.g. hypothesis tests.
– Give students some appreciation of the power
and place of the various tests
– Give students an appreciation of which claims
can be backed up with statistical ideas
– Give underlying theory so that tests can be
adapted
Service teaching in Statistics
• Course 0F2 to Foundation Year:
• MATHFS552 Probability / Statistics
– Mainly probability but includes
– Working with normal distribution
– Mean and standard deviation
Service teaching in Statistics
• Course 1X1 to 1st Year Computer Science:
• COMP10020
– Mainly probability
Service teaching in Statistics
• Course 2M1/2P1 to 2nd Year Engineers:
• MATH29631/29651/29661 Probability /
Statistics
– Sample mean, standard deviation;
– confidence interval;
– hypothesis;
– chi-squared goodness of fit test;
– simple linear regression.
Service teaching in Statistics
• Course 2T1 to 2nd Year Textiles students:
• MATH2953
• Representation of data; frequency distributions and
histograms.
• Basic statistical inference. Random Samples, sampling
distributions. Sampling, properties of sample means,
tendency to normal distribution.
• Use of statistical packages.
• Confidence Intervals.
• Hypothesis testing; null and alternative hypothesis,
critical region. Significance level. Hypothesis tests; one
and two-sample t-tests for means; paired t-test; F-test
for two variances.
• Relationships between variables. Linear regression,
prediction, confidence intervals. F-test for one- and twoway analysis of variance and experimental designs.
Service teaching in Statistics
• Scope for further course (possibly based
on MATH29531) in general statistics for
students throughout the university.
Service teaching in Statistics
• Challenges
– A good engineer / scientist / medic /
economist / other is not necessarily a good
mathematician
– Neither is necessarily a good statistician
Service teaching in Statistics
• Challenges
– Sometimes, the necessity to lead students
away from simply putting numbers into
formulae and understanding / appreciating
what is being taught.
Service teaching in Statistics
• Challenges
– Finding data sufficiently simple as to be a
good example of the tool/method but which is,
nevertheless, real data.
Manchester Mathematics Resource
Centre and Statistics
Manchester Mathematics Resource
Centre
• Drop-in help-desk open 20 hours per
week.
• Advisors are academic staff or
postgraduate students
• Located in George Begg Building / C6
• Open 20 hours per week during term time.
• http://www.maths.manchester.ac.uk/servic
e/resource-centre/
Statistics at the Resource Centre
• 3 dedicated sessions.
– Tuesday 11-12. Dr J Moriarty
– Thursday 1-2. Dr P Foster
– Friday 1-2. Mr H Chao (pg)
• Other advisors able to answer certain
queries or refer callers to these sessions
Statistics at the Resource Centre
• Types of Enquiry
– Course Related
• Example on tutorial sheet
• Question on past paper
• Query on notes
Statistics at the Resource Centre
• Types of Enquiry
– Project Related
• Question about data-analysis, tests
etc.