Introductory Statistics (HSTATS-451-DL)

HSTATS-451-DL

Course Overview

This course introduces the student to the foundations of statistical concepts. Topics include organizing data, measures of central tendency, probability, sampling, and statistical hypothesis testing. The course is taught conceptually with minimal emphasis on the mathematical derivation of the formulas.

Note: This course is offered 3 times each semester. It can be taken over a full semester or during one of our accelerated 6-week terms.

	Semester Start	Semester End
Summer 2023 Traditional (DL)	May 30, 2023	August 21, 2023
Summer 2023 Intensive A (DL2)	May 30, 2023	July 10, 2023
Summer 2023 Intensive B (DL3)	July 11, 2023	August 21, 2023
Fall 2023 Traditional (DL)	September 5, 2023	December 12, 2023
Fall 2023 Intensive A (DL2)	September 5, 2023	October 23, 2023
Fall 2023 Intensive B (DL3)	October 24, 2023	December 12, 2023

If you are attempting to register for an intensive B section, please use this form. If you have any questions, please reach out to us at ihpnondegree [at] mghihp.edu.

Type	Lecture
Faculty	Perman Gochyyev, PhD
Credits	3 undergraduate
Offered	Online Self-Paced
Prerequisites	None
Cost	$1,575.00 (Fees included)

Request Information

Attend an Info Session

What to Expect in this Course

This course is fully asynchronous – there are no required meeting times.

Course activities are organized into modules that are usually 1 week in length.

Our format allows flexibility so you can fit the learning activities into your own schedule.

While instructors make regular course updates to enhance your experience as a learner, the table below provides a general idea of what you can expect from a typical week.

Course Activities & Time Commitment

Course Activity	Hours Per Week
Self Directed Learning Reading textbooks, articles Watching mini-lectures, videos Listening to podcasts	3-4
Self-Assessments Mini quizzes Practice problems Weekly modules	2-3
Other Assignments Written papers Case studies Practical assignments	3-4
Discussion Boards Initial posting Reading posts Responding to peer posts	3-4
Total Time	10-15

Course Topics

Defining variables related to the health professions
Designations of scales, including nominal, ordinal, interval, and scale
Basis of hypothesis testing
Entering, navigating, and processing data through SPSS software
Generating descriptive statistics and measures of central tendencies
Describing data distributions in terms of mode, symmetry, and skew
The measure of variability and standard deviation
Establishing positive and negative correlation using Pearson’s r test
Comparing groups means using t-Tests and ANOVA analysis
Using repeated-measures ANOVA to evaluate longitudinal data
Non-parametric tests including binomials and crosstab analyses
Reporting statistics in APA style

Course Materials

Material
D2L	Required
Textbook	Not needed
Lab Kit / Supplies	Not needed
Web-Based Learning Application	Required
Standard word/ data processing capabilities	Required
Ability to Video conference	Recommended
Ability to upload images/videos	Not needed

D2L: All of our online prerequisite courses use the learning platform software called Desire2Learn (D2L). D2L integrates text, video, and audio. You can check your system compatibility by reviewing the D2L system recommendations.

Textbook: If a textbook is required, every effort is made to choose high-quality, low-cost materials that students can buy and sell, rent and return, or buy and use again in future courses.

Lab Kit / Supplies: Lab kits/supplies allow students to conduct hands-on experiments at home. Information about ordering lab kits and/or supplies will be provided to registered students approximately 6 weeks before the start of the semester.

Web-Based Learning Application: Web-based applications often serve as an alternative to a traditional textbook or lab kit. Most require students to register for a separate application that will integrate seamlessly with the D2L platform.

Standard word and data processing: Technology that allows the student to create, edit, and save documents and files.

Ability to videoconference: Technology that allows live, visual connection between individuals who are in different locations.

Ability to upload photos/videos: Technological capabilities through which a student could record a short video or still image and upload it to an online learning system.

Course Faculty

Perman Gochyyev, PhD

Assistant Professor Healthcare Data Analytics

Perman Gochyyev, PhD

pgochyyev@mghihp.edu
B34 - 107

a woman leans over to look at a laptop while a man talks to her about something

Does My Course Count?

Curious to know if a course you've taken elsewhere counts towards a specific program? Contact our Admissions Office by email or chat.

Contact Admissions