STAT 105 Introduction To Statistics

School of University Arts and Sciences

STAT 105 Introduction to Statistics is intended for social, environmental science, and business students, or others who would benefit from a one-term statistics course. Topics include estimation of means and hypothesis testing. Applications are explored.

Prerequisites: Math 11 or MATH 50 or MATH 54 or MATH 56 with a minimum grade of 60%

Accessibility Services Notice

Students who would like an academic accommodation and who have a documented disability should contact Accessibility Services, if they have not already done so.

Transfer Agreements

Course to Course transfer – YesBlock Transfer – Nobctransferguide.ca
Course Details
Total number of weeks15
Total Credits
Total Hours75
Typical hours per week breakdown
Lecture3
Lab (lab, field, computer)2

Learning Outcomes

Upon successful completion of this course, the learner will be able to:

  1. Define key statistical terms and concepts
  2. Differentiate between types of data
  3. Explore data using descriptive statistics and data visualization techniques
  4. Solve problems involving probability
  5. Apply statistical tests to real-world data
  6. Pursue statistics to a greater degree

Teaching and Learning Approach

We will use the lecture period to cover new material, and the lab period to go over further examples, do practice problems, and learn to use the computer to analyse data and solve statistical problems

Learning Resources

Required: Introductory Statistics, Illowsky & Dean, OpenStax College, BCcampus OpenEd. Recommended: TBA

Detailed Course Content, Topics, and Sequence Covered

1. Statistical terms; Data types; Descriptive Statistics; Probability 2. Discrete and Continuous Random Variables; Binomial Distribution; Normal Distribution 3. Normal Distribution; Central Limit Theorem; Estimates and Confidence Intervals 4. Estimates and Confidence Intervals; Hypothesis Testing (One and Two Samples) 5. Hypothesis Testing (One and Two Samples); Correlation and Regression; Review

Assessment

TitleLearning OutcomesValue
Assignments and Labs Midterm 1 (focus on key statistical concepts,all20%
probability, statistical tests)1-420%
Midterm 2 (focus on statistical tests)1-520%
Final Exam (comprehensive)1-540%
Total100%

Grading Table

Standard Academic and Career Programs Grading Table

Percentage Letter Grade GPA
90-100 A+ 4.33
85-89 A 4.00
80-84 A- 3.67
76-79 B+ 3.33
72-75 B 3.00
68-71 B- 2.67
64-67 C+ 2.33
60-63 C 2.00
55-59 C- 1.67
50-54 P 1.00
0-49 F 0.00
DNW 0.00

See the Academic Calendar for General Information including how to withdraw from course(s) and other regulations.

Disclaimer

Information contained in this course outline is correct at the time of publication. Content of the course is revised on an ongoing basis to ensure relevance to changing educational, employment and market needs. The instructor will endeavor to provide notice of changes to students as soon as possible. The instructor reserves the right to add or delete material from courses.