The course provides an introduction to statistical thinking. The student first learns how a sample can be collected and summarized, and how we use such summaries to interpret the data. Then we learn to generalize from the sample to the population. The student learns to construct confidence intervals and to perform hypothesis tests, and how these should be interpreted. The focus is on understanding concepts, and on interpreting results, with less focus on mathematical procedures. Through many examples from reality, the student should be able to see the relevance of and uses for statistics in marketing and economics. Use of statistical software is absolutely crucial.
- Collection of data
- Descriptive analysis of the sample
- Simple probability theory with focus on the normal distribution
- Confidence intervals for mean and proportion
- Hypothesis tests for mean and proportion
- Simple correlation- and regressionanalysis
- Selected central tests, including the chi-square test for covariation between two categorical variables.
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