UNIVERSITY OF MANITOBA 
STAT 1000: Basic Statistical Analysis 1 
Final Examination Guide and Notes 2026 
 
- Part A: Topic Summary and Exam Tips 
- Part B: Exam Practice Questions and Answers 
- Part C: Sample Final Examination Paper 
- Part D: Suggested Solutions to Final Exam Paper 
 
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University of Manitoba - STAT 1000: Basic Statistical Analysis 1

C$25.00

ACADEMIC YEAR 2025 - 2026

University	University of Manitoba
Study Level	Undergraduate
Course Code	STAT 1000
Course Name	Basic Statistical Analysis 1
Notes Title	Final Examination Guide and Notes
Page Length	59

This guide provides a comprehensive summary of the key concepts covered in STAT 1000: Basic Statistical Analysis 1 at the University of Manitoba. It highlights the essential information you need to understand and apply the course material effectively, helping you build a solid grasp of the core methods and techniques. These features are specifically designed to help you apply your knowledge in the exam. You do not need to be an expert in the course; you just need a basic understanding and the ability to quickly recall what you have learned. Use these notes as a reference to strengthen your understanding topic by topic and improve your grades in the final exam.

STAT 1000: Basic Statistical Analysis 1 is a foundational course 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
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

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ECON 2010	Microeconomic Theory 1
ECON 2040	Quantitative Methods in Economics
ECON 3040	Introduction to Econometrics
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FIN 3460	Financial Markets and Institutions
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FIN 4270	Options and Futures
GMGT 2070	Organizational Behaviour
LAW1102	Contracts
MKT 2210	Fundamentals of Marketing
STAT 1000	Basic Statistical Analysis 1
STAT 3490	Time Series Analysis

University of Manitoba - STAT 1000: Basic Statistical Analysis 1

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