Probability distributions and sampling distributions

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Reference no: EM133781868

Learning outcome 1: Identify different types of variables and produce appropriate graphical displays and descriptive statistics:

Learning outcome 2: Apply probability rules and concepts related to various probability distributions and sampling distributions:

Learning outcome 3: Conduct statistical inference including confidence intervals and hypothesis testing using one sample and two sample t-tests;

Learning outcome 4: Perform and interpret correlation and simple linear regression including inference for association between two quantitative variables;

Learning outcome 5: Perform analysis of variance for more than two quantitative variables and Chi-square tests for association between categorical variables:

Learning outcome 6: Describe basic statistical terminology in published material and express a problem in statistical terms.

Assessment description

In this assessment, you will develop your ability to translate real-world issues into statistical language. This involves identifying and categorising different types of variables, proficiently creating and interpreting graphical representations and descriptive statistical measures, applying probability principles to diverse probability distributions, conducting statistical inference (including constructing confidence intervals and conducting hypothesis tests using both one-sample and two-sample tests), performing and comprehending correlation and simple linear regression (including drawing inferences about associations), conducting an analysis of variance for more than two quantitative variables, and performing Chi-square tests to investigate associations between categorical variables

By accomplishing these tasks, you will enhance your statistical skills and their practical application to real-world problems. This assessment serves as a test of your grasp of the topics covered during weeks 1 to 12 (lecture and tutorial weeks 1 to 12), ensuring that you've acquired a solid understanding of these foundational concepts.

Reference no: EM133781868

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