Dakota County Technical College


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MATS 1251 - Statistics
Spring 2022, Section 48

search actionsID #Subj#SecTitleDatesDaysTimeCrdsStatusInstructorDelivery MethodLoc
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000405 MATS 1251 48 Statistics
01/10 - 05/17
T
10:00am - 11:55am
4.0 Open Manthey, Erin
Blended/Hybrid Location: Dakota County Technical College
Building/Room: Main Building 2-701


Meeting Details
DatesDaysTimeBuilding/RoomInstructor
1/10/2022 - 5/17/2022 T 10:00am - 11:55am Main Building 2-701 Manthey, Erin

Notes
  • This course is a blended/hybrid course designed for self-motivated learners comfortable with the Internet. The course combines classroom instruction with online learning activities. Time spent in the classroom is reduced but not eliminated. Internet access is required.

Location Details
Offered through: Dakota County Technical College.
Campus: Dakota County Tech. College. Location: Dakota County Technical College.

Seat Availability
Status: Open Size: 30 Enrolled: 6 Seats Remaining: 24

Prerequisites (Courses and Tests)
This course requires any of these four prerequisites
MATS 0600 - Intermediate Algebra
MATS 0700 - Algebra Emporium
Introductory College Level
Algebra College Level

Add/Drop/Withdraw
Full refund is available until January 14, 2022, 11:59PM CST.
The last day to add this course is January 14, 2022. The last day to drop this course is January 14, 2022.
The last day to withdraw from this course is April 22, 2022.

Tuition and Fees (Approximate)

Tuition and fee information is not yet available for this semester.

Course Books and Materials
The course material list is not currently available for display.

Course Level
Undergraduate

General/Liberal Education Category
General Education

Minnesota Transfer Curriculum Goal
Goal 04 - Mathematical/Logical Reasoning
  • Clearly express mathematical/logical ideas in writing.
  • Explain what constitutes a valid mathematical/logical argument(proof).
  • Apply higher-order problem-solving and/or modeling strategies.

Description
Fundamental principles of inferential statistics are presented in lecture augmented by computer labs using Excel. Essential topics include sampling methods; descriptive statistics; counting and probability; poisson, binomal, normal and other probability distributions; confidence intervals; hypothesis testing; inferences from two samples; correlation and regression. Optional topics include goodness-of-fit and contingency tables; ANOVA; nonparemetrics; and statistical process control. Meets MnTC Goal 4 Prerequisite: MATS0700 or see course details in eServices for more prerequisite information.

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