MacEwan University - STAT 151: Introduction to Applied Statistics

STAT 151: Introduction to Applied Statistics, MacEwan University is a 3-credit course that covers various topics, including data collection and presentation, descriptive statistics, probability distributions, sampling distributions, point estimation, hypothesis testing, correlation and regression analysis, and goodness of fit and contingency tables.

✔ (Summary) What You Will Learn:

• Data Collection and Presentation: This topic focuses on the methods and techniques used to gather and display data in a meaningful and organized manner.
• Descriptive Statistics: Descriptive statistics summarize and describe the main features of a dataset, such as measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation).
• Probability Distributions: Probability distributions describe the likelihood of different outcomes in an experiment or process. Common probability distributions include the normal distribution, binomial distribution, and Poisson distribution.
• Sampling Distributions and the Central Limit Theorem: Sampling distributions describe the distribution of sample statistics, such as the sample mean or sample proportion. The Central Limit Theorem states that the distribution of sample means approaches a normal distribution as the sample size increases, regardless of the shape of the population distribution.
• Point Estimation: Point estimation involves using sample data to estimate a population parameter, such as the population mean or population proportion.
• Hypothesis Testing: Hypothesis testing is a statistical method used to test claims or hypotheses about population parameters based on sample data. It involves calculating a test statistic and comparing it to a critical value or p-value to determine whether to accept or reject the null hypothesis.
• Correlation and Regression Analysis: Correlation measures the strength and direction of the linear relationship between two variables, while regression analysis is used to model the relationship between a dependent variable and one or more independent variables.
• Goodness of Fit and Contingency Tables: Goodness of fit tests assess how well a theoretical distribution fits observed data, while contingency tables are used to analyze the relationship between two or more categorical variables.

✔ Knowledge & Skills Gained:

Upon completing STAT 151: Introduction to Applied Statistics at MacEwan University, you will gain a solid foundation in various statistical concepts and techniques. You will learn how to collect and present data, understand descriptive statistics, work with probability distributions, and apply the Central Limit Theorem. Additionally, you will develop skills in point estimation, hypothesis testing, correlation and regression analysis, and analyzing goodness of fit and contingency tables. This knowledge will enable you to apply statistical methods to various fields, such as biological and medical sciences, engineering, social sciences, and economics.

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