Quantitative methods

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A hands-on introduction to statistics for management and social science

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Aims and scope: 
This course provides a concise introduction to the elementary statistical tools necessary for further study in social sciences with an emphasis on the applicability of the methods to management and economic problems. Topics covered are data visualisation and descriptive statistics, probability theory, discrete probability distributions, continuous probability distributions, sampling distributions of statistics, point estimation, interval estimation, hypothesis testing, contingency tables and the chi-squared test, correlation and linear regression.
1: Describing Data: Graphical. 2: Describing Data: Numerical. 3: Probability. 4: Discrete Random Variables and Probability Distributions. 5: Continuous Random Variables and Probability Distributions. 6: Sampling and Sampling Distributions. 7: Estimation: Single Population. 8: Estimation: Additional Topics. 9: Hypothesis Testing: Single Population. 10: Hypothesis Testing: Additional Topics. 11: Simple Regression. 12: Multiple Regression. 13: Additional Topics in Regression Analysis.14: Analysis of Categorical Data. 15: Analysis of Variance. 16: Time-Series Analysis and Forecasting. 17: Additional Topics in Sampling.
Indicative reading: 
Newbold, P., Carlson, W. L., & Thorne, B. M. (2019). Statistics for Business and Economics (9th ed.). Pearson.
Teaching modules: