STAT 221 Principles of Statistics
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The STAT 221 Principles of Statistics course is all about the plotting and numerical summary, data collection method, probability, sample distribution, confidence interval, and hypothesis testing including one or two means and proportions, contingency table, correlation, and simple linear regression.
It provides government, economy and the public with data on economic, demographic, social and environmental conditions. To this end, official statistical agencies should collect and provide official statistics, verified for factual usefulness, equitably, to respect the right of citizens to public information.
Course outcomes:
- Data collection method: Describe the main characteristics of effective data collection methods.
- Graphic display: Create and interpret a graphical display of a given dataset.
- Random variables and sample distribution: Describe the distribution of the random variables, the sample mean, and the proportion of the sample.
- Probability calculation: Use the characteristics of the distribution of a sample of statistics to compute the probabilities associated with a statistic.
- Relationship between variables: Check the relationship between two quantitative variables, two categorical variables and a categorical and quantitative variable.
- Parameter estimation: Use confidence and prediction intervals to estimate population parameters.
- Hypothetical test: Use significance tests to evaluate claims about common parameters.
- Statistical procedure: Determine the appropriate statistical procedure for the given research question.
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