Registry
Module Specifications
Archived Version 2018 - 2019
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Description To give the student the necessary skills - to analyse efficiently a business dataset - to interpret the output of a statistical analysis. In addition the course aims to give the students an insight into the role of statistical techniques in a business environment and looks at the increasing role of technology in data analysis. | |||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Differentiate between different types of measurement 2. Use descriptive statistical techniques to summarise a business data set 3. Utilise statistical techniques to calculate probabilities 4. Explain the nature of sample error and calculate this error for a number of sample parameters 5. Choose the appropriate statistical techniques for testing market research hypotheses 6. Use SPSS and MS EXCEL for analysing data and generating statistical reports 7. Interpret statistical output and effectively present the results of this output | |||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and
Learning Activities 1. Introduction to DataRole of Data Analysis in Business, Role of Technology in Data Analysis, Data Collection,Data Cleaning and Missing Data, Measurement Types, Data Types2. Descriptive StatisticsFrequency Distributions, Measures of Central Tendency, Measures of Dispersion, Crosstabs and Correlation, Presentation and Graphical Tools, Big Data and Data Analytics3. Basic ProbabilityEvents, Outcomes and Random Variables, Probability Laws, Empirical Data4. Discrete Probability DistributionsProbability Distributions; Binomial and Poisson Distributions5. Normal Probability DistributionContinuous Probability Distibutions, “Following” a Normal Distribution, Using the Normal Distribution to calculate probabilities6. Statistical Estimation/Sampling ErrorSampling Error, Sampling Distributions, Central Limit Theorem, Confidence Intervals for means and proportions, Selecting appropriate sample size7. Hypothesis Testing / Statistical TestsWhat is a Statistical Test? General approach to statistical tests, Statistical Significance, Summary of Statistical Tests for Difference8. Linear RegressionMultivariate Analysis, Linear Regression. Over view of Forecasting Techniques; Time Series, Predictive Analytics | |||||||||||||||||||||||||||||||||||||
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Indicative Reading List | |||||||||||||||||||||||||||||||||||||
Other Resources 11040, Course Notes, 0, Course Notes for each Section, 11041, Course Notes, 0, Tutorial Sheets with solutions for each section, 11042, Course Notes, 0, SPSS Handout and SPSS Datasets, 11043, Course Notes, 0, Statistics using MS EXCEL - Worked Examples, | |||||||||||||||||||||||||||||||||||||
Programme or List of Programmes | |||||||||||||||||||||||||||||||||||||
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