Applied Statistics

Cod y Modiwl
MA26600
Teitl y Modiwl
Applied Statistics
Blwyddyn Academaidd
2027/2028
Semester
Semester 1 Dysgwyd dros 2 semester
Cyd-gysylltydd y Modiwl
Dr Adam Vellender
Rhestr Ddarllen
Gweld ar Aspire
Rhagofynion
MA10310 neu MT10310
Rhagofynion
MA11310 neu MT11310
Staff Eraill sy'n Cyfrannu
Dr Kim Kenobi
Mrs Patience Jones

Dulliau Asesu

Math o Asesiad

Manylion Asesiad

Cyfran
Asesiad Semester Written Course Work: 1 report on a given dataset and worksheet questions 30%
Arholiad Semester Written Exam: 2 Awr 70%
Asesiad Ailsefyll Written Course Work: 1 report on a given dataset and worksheet questions 30%
Arholiad Ailsefyll Written Exam: 2 Awr 70%

Canlyniadau Dysgu

Wedi cwblhau'r modiwl dylai'r myfyrwyr fedru:

  1. Summarise effectively a set of data;
  2. Identify the statistical techniques appropriate to analysing a given situation;
  3. Carry out standard statistical procedures for one and two samples;
  4. State and check the assumptions required by their analyses;
  5. Draw conclusions from an analysis of data and write reports concerning these conclusions;
  6. Interpret one-way and two-way ANOVA tables, and interaction diagrams;
  7. Use the statistical package 'R' to practically manipulate and analyse datasets.

Disgrifiad cryno

There is an increasing demand in the workplace for staff skilled in the analysis and interpretation of data. The module, includes extensive use of the statistical package 'R', covers the basic skills of a practising statistian from both theoretical and practical viewpoints. It also includes the preparation of reports.

Cynnwys

1. DESCRIPTIVE STATISTICS: Interpretation of data presented in numerical and graphical forms. Report writing.

2. REGRESSION: Fitting straight lines, correlation coefficient, multiple regression.

3. DISTRIBUTIONS: Bionomial, Poisson, Normal etc. Distribution of the sample mean. Graphical assessment of goodness of fit; Q-Q plots.

4. BASIC IDEAS: Estimates and standard errors of means, proportions, sums and differences.

5. CONFIDENCE STATEMENTS: Construction and interpretation of confidence intervals for means, rates and proportions. Bootstrap confidence intervals. Confidence limits for the difference between parameters.

6. HYPOTHESIS TESTING: Hypothesis tests; interpretation of p-values. Paired an unpaired two sample t-tests. Bootstrap p-values.

7. GOODNESS-OF-FIT: Chi-squared test.

8. DESIGNED EXPERIMENTS: One-way ANOVA. Two-way ANOVA. Interactions.

Sgiliau Modiwl

Math o Sgiliau

Manylion Sgiliau
Cyfathrebu Written answers to assignment exercises must be clear and well structured.
Datblygu personol a chynllunio gyrfa Development of proficiency in R and familiarity with statistical methods in a strong skill set for anyone wishing to use statistics in their future career.
Datrys Problemau Omnipresent in a statistics module.
Gwaith Tim Students will be encouraged to work together on questions during practical sessions.
Gwella dysgu a pherfformiad ei hun Students are expected to develop their own approach to time-management regarding the completion of assignments on time and preparation between lectures.
Rhifedd Omnipresent in a statistics module.
Sgiliau pwnc penodol Broadens exposure of students to methods of vital importance in the study of statistics.
Sgiliau ymchwil Students will be encouraged to independently find and assimilate useful resources
Technoleg Gwybodaeth Dataset manipulation and analysis in this module include extensive use of R. Word processing skills required for professional presentation of results, especially for the statistical report assignment.

Nodau

Mae'r modiwl hwn yn cydymffurfio a FfCChC Lefel 5