Minnesota State University Moorhead


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MATH 634 - Probability & Statistics for Applications [MN 18 Online Program]
Spring 2020, Section 01

search actionsID #Subj#SecTitleDatesDaysTimeCrdsStatusInstructorDelivery MethodLoc
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001680 MATH 634 01 Probability & Statistics for Applications [MN 18 Online Program]
01/13 - 05/13
n/a
Arranged
4.0 Open Okigbo, Carol
Completely Online-Asynchronous Location: Minnesota State University Moorhead
Building/Room: ON LINE


Meeting Details
DatesDaysTimeBuilding/RoomInstructor
1/13/2020 - 5/13/2020 n/a Arranged ON LINE Okigbo, Carol

Notes
  • Online Course
  • Restricted to students in the MN 18 Online Program. Students must be enrolled in a Masters program or have a prior Masters degree and have at least 15 credits of undergraduate mathematics with a course grades of C- or better.

Location Details
Offered through: Minnesota State University Moorhead.
Campus: Minnesota State University Moorhead. Location: Minnesota State University Moorhead.

Seat Availability
Status: Open Size: 20 Enrolled: 10 Seats Remaining: 10

Restrictions
  • Restricted to program(s): 18 On-Line, 18 On-Line Greater MN
  • Requires students to be admitted.

Add/Drop/Withdraw
Full refund is available until January 17, 2020, 11:59PM CST.
Adding course is closed. Dropping course is closed.
The last day to withdraw from this course is April 20, 2020.

Tuition and Fees (Approximate)

Tuition and Fees (approximate):

Tuition -resident: $577.56
Tuition -nonresident: $577.56
Approximate Course Fees: $222.44

Course Level
Graduate

Description
This course offers a wide range of probability and statistical concepts, concentrating on specific statistical techniques used in science and industry. It provides students with practical ability to choose, generate, analyze, and interpret appropriately, descriptive and inferential statistics. There is an extensive breadth of coverage ranging from elementary methods to such advanced methods as multiple regression and nonparametric analysis. Topics include: Measures of location and variability, probability theory, random variables, common families of distributions, point and interval estimations, hypothesis testing, confidence intervals, chi-square tests, nonparametric statistics, analysis of variance, regression, and correlation.

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