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Course Description

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This course focuses on the practical methods of Statistics and the topics include: descriptive statistics; univariate models such as binomial, Poisson, uniform and normal; the central limit theorem; expected value; the t, F and chi-square models; point and interval estimation; hypothesis testing methods up to two-sample data; simple regression and correlation; introduction to analysis of variance. Assignments will deal with real data from the natural sciences and involve the use of statistical software for computing and visualization.

Learning Outcomes

By the end of the course, the learner should be able to:

  1. Create and properly interpret numerical and graphical data summaries;
  2. Properly interpret probability and carry out basic probability calculations;
  3. Carry out probability calculations for various discrete and continuous probability distributions, and choose the appropriate probability distribution in different scenarios;
  4. Explain statistical inference concepts, including sampling distributions, confidence intervals, and hypothesis tests;
  5. Choose an appropriate statistical inference procedure in a variety of situations, carry out the procedure, and effectively communicate a proper interpretation of the results;
  6. Explain the design of some basic experiments and observational studies, and describe how statistical conclusions differ between experiments and observational studies; and
  7. Carry out calculations for statistical inference procedures using appropriate statistical computing software.

Course Topics

  • Numerical and Graphical Data Summaries
  • Probability
  • Sampling Distributions
  • Confidence Intervals
  • Hypothesis Testing
  • Chi-square Tests
  • One-way ANOVA
  • Simple Linear Regression

Additional Requirements

Prerequisite(s): 1 of 4U Calculus and Vectors, Advanced Functions and Calculus, OAC Calculus, MATH*1080

Restriction(s): This is a Priority Access Course. Enrolment may be restricted to particular programs or specializations. See department for more information.

Assessment

Assessment Item Weight
Term Test 1 15%
Term Test 2 15%
Term Test 3 15%
Data Analysis Assignment 1 12.5%
Data Analysis Assignment 2 12.5%
Online Final Exam 30%
Total 100%

Note: You must achieve a passing grade in the Final Exam in order to pass this course.

Note:

Additional Technical Requirements

This course will use the following:

  • Crowdmark is an online testing and assessment software that is used in this course. Visit the Crowdmark website to review the Crowdmark system requirements

Please view the Technical Considerations.

Technical Requirements

You are responsible for ensuring that your computer system meets the necessary system requirements. Use the browser check tool to ensure your browser settings are compatible and up to date (results will be displayed in a new browser window).

*Course details are subject to change.

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Enrol Now - Select a section to enrol in

Section Title
Statistics I
Type
Online
Dates
May 13, 2021 to August 09, 2021
Contact Hours
36.0
Delivery Options
Online  
Course Fee(s)
Domestic Tuition Fee (0.5 units) $683.39 Click here to get more information
International Tuition Fee (0.5 units) $2,748.00 Click here to get more information
Available for Credit
0.5 units
Section Notes

Note:  If you are in a degree program at the University of Guelph, please DO NOT register using the link above.  You must register through WebAdvisor.

Section Materials
  • Textbook (Confirmed) (Mandatory) Introductory Statistics: A Problem-Solving Approach (loose leaf and digital option) by Stephen Kokoska © 2020 3rd edition ISBN 9781319411367
  • e-book (Confirmed) (Mandatory) Introductory Statistics: A Problem-Solving Approach (digital only option) by Stephen Kokoska MacMillan Learning 3rd edition ISBN 9781319401221
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