Gwybodaeth am Coronafirws (Covid-19)

Modiwl ASB-2111:
Statistical Methods

Ffeithiau’r Modiwl

Rhedir gan Bangor Business School

20 Credyd neu 10 Credyd ECTS

Semester 2

Trefnydd: Dr Alan Thomas

Amcanion cyffredinol

AIMS: The module will introduce students to the ideas of probability and statistical inference, and demonstrate the application of those ideas. The overall aim is to provide a good foundation in statistical methods and techniques. There is a strong focus on implementing these techniques in Microsoft Excel.

Cynnwys cwrs

The course will include statistical techniques, which will include, sampling methods, hypothesis testing, regression and correlation analysis. It will also cover the use of robustness testing, and the analysing of time series and panel data. There will be instruction on data management and the use of the statistical tools within Excel.

Meini Prawf

trothwy

C- to C+ (50-59%): Much of the relevant information and skills mostly accurately deployed. Adequate grasp of theoretical/conceptual/practical elements. Fair integration of theory/practice/information in the pursuit of the assessed work's objectives. Some evidence of the use of creative and reflective skills.

da

B- to B+ (60-69%): Very good performance Most of the relevant information accurately deployed. Good grasp of theoretical/conceptual/practical elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Evidence of the use of creative and reflective skills.

ardderchog

A- to A+ (70%+): Outstanding performance. The relevant information accurately deployed. Excellent grasp of theoretical/conceptual/practice elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Strong evidence of the use of creative and reflective skills.

C- i C+

C- to C+ (50-59%): Much of the relevant information and skills mostly accurately deployed. Adequate grasp of theoretical/conceptual/practical elements. Fair integration of theory/practice/information in the pursuit of the assessed work's objectives. Some evidence of the use of creative and reflective skills.

Canlyniad dysgu

  1. Apply key statistical concepts.

  2. Understand sampling methods and interpret statistical inference.

  3. Analyse data, and interpret the results.

  4. Carry out investigations using summary statistics, graphs, techniques and exploratory data analysis, correlation and regression.

  5. Formulate and test hypotheses.

Dulliau asesu

Math Enw Disgrifiad Pwysau
Group Data Analysis Report 20
End of Semester 2 exam 80

Strategaeth addysgu a dysgu

Oriau
Lecture

There will be a series of two-hour weekly lectures, which will include practical demonstrations and worked examples to try in class.

40
Workshop

2-hour drop-in session every other week. Attendance is non-compulsory.

20
Private study

Review and reflect upon the course material and practice the applications of techniques in Excel

140

Sgiliau Trosglwyddadwy

  • Llythrennedd - Medrusrwydd mewn darllen ac ysgrifennu drwy amrywiaeth o gyfryngau
  • Rhifedd - Medrusrwydd wrth ddefnyddio rhifau ar lefelau priodol o gywirdeb
  • Defnyddio cyfrifiaduron - Medrusrwydd wrth ddefnyddio ystod o feddalwedd cyfrifiadurol
  • Hunanreolaeth - Gallu gweithio mewn ffordd effeithlon, prydlon a threfnus. Gallu edrych ar ganlyniadau tasgau a digwyddiadau, a barnu lefelau o ansawdd a phwysigrwydd
  • Dadansoddi Beirniadol & Datrys Problem - Gallu dadelfennu a dadansoddi problemau neu sefyllfaoedd cymhleth. Gallu canfod atebion i broblemau drwy ddadansoddiadau ac archwilio posibiliadau
  • Cyflwyniad - Gallu cyflwyno gwybodaeth ac esboniadau yn glir i gynulleidfa. Trwy gyfryngau ysgrifenedig neu ar lafar yn glir a hyderus.
  • Gwaith Tîm - Gallu cydweithio'n adeiladol ag eraill ar dasg gyffredin, ac/neu fod yn rhan o dîm gweithio o ddydd i ddydd
  • Hunanymwybyddiaeth & Ystyried - Bod yn ymwybodol o'ch cryfderau, gwendidau, nodau ac amcanion eich hun. Gallu adolygu ,cloriannu a myfyrio'n rheolaidd ar eich perfformiad eich hun ac eraill.

Sgiliau pwnc penodol

  • Analysis, deduction and induction. Economic reasoning is highly deductive, and logical analysis is applied to assumption-based models. However, inductive reasoning is also important. The development of such analytical skills enhances students' problem-solving and decision-making ability.
  • Quantification and design. Data, and their effective organisation, presentation and analysis, are important in economics. The typical student will have some familiarity with the principal sources of economic information and data relevant to industry, commerce, society and government, and have had practice in organising it and presenting it informatively. This skill is important at all stages in the decision-making process.
  • Problem solving and critical analysis: analysing facts and circumstances to determine the cause of a problem and identifying and selecting appropriate solutions.
  • Numeracy: the use of quantitative skills to manipulate data, evaluate, estimate and model business problems, functions and phenomena.
  • Conceptual and critical thinking, analysis, synthesis and evaluation.
  • Self-management: a readiness to accept responsibility and flexibility, to be resilient, self-starting and appropriately assertive, to plan, organise and manage time.

Adnoddau

Goblygiadau o ran adnoddau ar gyfer myfyrwyr

Davis & Pecar Business Statistics using Excel Lee & Peters Business statistics using Excel & SPSS

Rhestrau Darllen Bangor (Talis)

http://readinglists.bangor.ac.uk/modules/asb-2111.html

Rhestr ddarllen

Davis & Pecar Business Statistics using Excel Lee & Peters Business statistics using Excel & SPSS

Rhagofynion a Chydofynion

Rhagofynnol ar gyfer:

Cyrsiau sy’n cynnwys y modiwl hwn

Gorfodol mewn cyrsiau:

Opsiynol mewn cyrsiau: