Minnesota State University Moorhead


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

search actionsID #Subj#SecTitleDatesDaysTimeCrdsStatusInstructorDelivery MethodLoc
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000434 MATH 634 01 Probability & Statistics for Applications [MN 18 Online Program]
06/10 - 07/31
n/a
Arranged
4.0 Full Okigbo, Carol
Completely Online-Asynchronous Location: Minnesota State University Moorhead
Building/Room: ON LINE


Meeting Details
DatesDaysTimeBuilding/RoomInstructor
6/10/2020 - 7/31/2020 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: Full Size: 20 Enrolled: 20 Seats Remaining: 0

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 June 11, 2020, 11:59PM CST.
The last day to add this course is 4 business day(s) after June 10, 2020. The last day to drop this course is 4 business day(s) after June 10, 2020.
The last day to withdraw from this course is July 21, 2020.

Tuition and Fees (Approximate)

Tuition and fee information will be available after May 20, 2020.

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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