University of Manitoba - STAT 1000: Basic Statistical Analysis 1 (Solutions)

STAT 1000: Basic Statistical Analysis 1 - is a foundational course at the University of Manitoba designed to introduce students to the core principles and techniques of statistics. Throughout the course, students will learn to collect and display data, summarize and interpret findings, and understand the relationships between variables. Main topics to be covered include: examining distributions, scatterplots, correlation and regression, sampling design, design of experiments, density curves and normal distributions, randomness and probability, sampling distributions, confidence intervals for a population mean, tests of significance, and inference for population means and proportions.

✔ By the end of this course, you should be able to:

• Understand the concept of distributions and how to describe them graphically (e.g., histograms, density plots)
• Interpret scatterplots to understand relationships between variables
• Calculate and interpret correlation coefficients to measure the strength and direction of linear relationships
• Build and interpret regression models to predict a target variable based on one or more predictor variables
• Design sampling studies to collect data representative of a population
• Design experiments to isolate the causal effect of one variable on another
• Use density curves to visualize the distribution of data
• Recognize and interpret normal distributions
• Understand the concepts of randomness and probability
• Explain the concept of sampling distributions and their relationship to population distributions
• Construct and interpret confidence intervals to estimate population parameters
• Conduct hypothesis tests to assess the statistical significance of relationships or differences
• Draw inferences about population means and proportions based on sample data

ACC 1100  

ACC 2010  

ACC 2020