STAT 151 - Introduction to Applied Statistics I

3 Credits

Outline Effective Date: Academic Year 2025/2026
Revised Date: Sep 3, 2025
Date Approved: Sep 3, 2025

Course Description:
Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions and the central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis. Goodness of fit and contingency table.

Rationale:
Statistical literacy is indispensable to making intelligent decisions in this day-and-age when the average citizen is bombarded by a huge quantity of numbers and figures in advertisements and commercials, many of which may be presented in a highly misleading manner. A sound understanding of the principles covered in this course enables the student to apply statistical reasoning to evaluate and interpret the barrage of statistical data encountered in every walk of life. Furthermore, statistical methodology has become a standard analysis tool in the natural sciences and engineering. Statistical techniques are also employed regularly in many other fields such as medicine, pharmacology, education, economics, political science, agriculture, and natural resource management. Therefore, this course provides the student with basic statistical knowledge and skills necessary for pursuing studies in a variety of disciplines.

Prerequisites: Math 30-2/Foundations of Math 30 or Math 30-1/Pre-Calculus 30
Corequisites: None

Course Learning Outcomes:
A student who successfully completes the course will have reliably demonstrated the ability to:

1. analyze and interpret basic statistical data.

2. apply basic concepts of probability.

3. develop a working familiarity with various probability distributions, especially the normal distribution.

4. apply basic techniques of statistical inference.

Required Resource Materials:
Agresti, Franklin, Klingenber, and Michael Posner. Statistics: The Art and Science of Learning from Data. 5th ed. New Jersey, Pearson, 2021.

Required Calculator

A hand calculator that does statistical calculations, including linear regression. NOTE: Programmable hand calculators are not allowed in examinations.

Optional Resource Materials:
As assigned by the instructor.

Conduct of Course:
This is a 3 credit course with 3 hours of lecture and 1.5 hours of laboratory per week. (3-0-1.5)

Material for this course is presented during the lectures. Questions are assigned from lecture material.

Lab time is used to complete assigned labs using computer statistical software.

Students must complete assignments and labs to successfully learn all course material. No late assignments or labs are marked for evaluation.

Regular attendance is essential for success in any course. Absence for any reason does not relieve a student of the responsibility of completing course work and assignments to the satisfaction of the instructor. Poor attendance may result in the termination of a student from the course.

If you do not meet the established attendance requirements, your instructor will recommend that the Registrar withdraw you from the course. A failing grade of RW (Required to Withdraw) will appear on your transcript.

In cases of repeated absences due to illness, the student may be requested to submit a medical certificate.

Instructors have the authority to require attendance at classes.

Content of Course:

Exploring Data
- Picturing Distributions with Graphs
- Describing Distributions with Numbers
- The Normal Distributions
- Scatterplots and Correlation
- Regression
Inference
- Producing Data: Sampling
- Producing Data: Experiments
- Introducing Probability
- Sampling Distributions
- Confidence Intervals: The Basics
- Tests of Significance: The Basics
- Inference in Practice
Inference About Variables
- Inference About a Population Mean
- Two-Sample Problems
- Inference About a Population Proportion
Inference About Relationships
- One-Way Analysis of Variance: Comparing Several Means
- Two Categorical Variables: The Chi-Square Test

Course Assessments:
Grades are determined in the following manner:

Assignments	10%
Labs	10%
Term Exam I	15%
Term Exam II	20%
Lab Exam	10%
Final Exam	35%
Total	100%

No supplemental assignments or examination re-writes are permitted in this course.

At term end, there is a record of each student’s raw grades for all assignments and exams. A term summary mark based on these raw grades is computed and these marks are placed on the “marking strip” as indicated.

Official final grades will be available on My Lakeland. Grades posted in D2L should be considered interim grades.
“Lakeland College is committed to the highest academic standards. Students are expected to be familiar with Lakeland College policies and to abide by these policies. Violations of these policies are considered to be serious and may result in suspension or expulsion from the College.”

Course Pass Requirements:
A minimum grade of D (50%) (1.00) is required to pass this course.

Letter	F	D	D+	C-	C	C+	B-	B	B+	A-	A	A+
Percent Range	0-49	50-52	53-56	57-59	60-64	65-69	70-74	75-79	80-84	85-89	90-94	95-100
Points	0.00	1.00	1.30	1.70	2.00	2.30	2.70	3.00	3.30	3.70	4.00	4.00

Students must maintain a cumulative grade of C (GPA - Grade Point Average of 2.00) in order to qualify to graduate.

Every effort has been made to ensure that information in this course outline is accurate at the time of publication. Lakeland College reserves the right to change courses if it becomes necessary so that course content remains relevant.

In such cases, the instructor will give students clear and timely notice of changes.

No part of this course outline may be reproduced in any form or resold without written permission from Lakeland College.

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