Marc Isaacson

Adjunct Faculty
Office
OSS 422
Phone
(651) 962-5374

Fall 2018 Courses

Fall 2018 Courses
Course - Section Title Days Time Location
STAT 220 - 54 Statistics I (Lab) - T - - - - - 0800 - 0940 OSS 432

Days of Week:

- T - - - - -

Time of Day:

0800 - 0940

Location:

OSS 432

Course Registration Number:

40832 (View in ClassFinder)

Credit Hours:

0 Credit Hours

Instructor:

Marc D. Isaacson

This lab section will use EXCEL for data analysis. NOTE: Students registering for this lab must also register for STAT 220 02 lecture.

Schedule Details

Location Time Day(s)
STAT 220 - 55 Statistics I (Lab) - - - R - - - 0800 - 0940 OSS 432

Days of Week:

- - - R - - -

Time of Day:

0800 - 0940

Location:

OSS 432

Course Registration Number:

40833 (View in ClassFinder)

Credit Hours:

0 Credit Hours

Instructor:

Marc D. Isaacson

This lab section will use EXCEL for data analysis. NOTE: Students registering for this lab must also register for STAT 220 02 lecture.

Schedule Details

Location Time Day(s)
STAT 220 - 64 Statistics I (Lab) - T - - - - - 0955 - 1135 OSS 432

Days of Week:

- T - - - - -

Time of Day:

0955 - 1135

Location:

OSS 432

Course Registration Number:

42750 (View in ClassFinder)

Credit Hours:

0 Credit Hours

Instructor:

Marc D. Isaacson

This lab section will use MINITAB for data analysis. NOTE: Students registering for this lab must also register for STAT 220 05 lecture.

Schedule Details

Location Time Day(s)

J-Term 2019 Courses

J-Term 2019 Courses
Course - Section Title Days Time Location
STAT 201 - 01 Introductory Statistics II - T W R F - - 0800 - 0940 OSS 431

Days of Week:

- T W R F - -

Time of Day:

0800 - 0940

Location:

OSS 431

Course Registration Number:

10060 (View in ClassFinder)

Credit Hours:

2 Credit Hours

Instructor:

Marc D. Isaacson

(Formerly IDTH 201) This course is for students desiring to satisfy the coverage of STAT 220 ( a full semester of statistics), when less than one full semester of statistics has been taken. Review of inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Introduction to basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. Prerequisite: STAT 206 (IDTH 206) or at least .35 semester, but less than one semester of statistics. Note: Students who receive credit for STAT 201 may not receive credit for STAT 220.

Schedule Details

Location Time Day(s)

Spring 2019 Courses

Spring 2019 Courses
Course - Section Title Days Time Location
STAT 220 - 54 Statistics I (Lab) - T - - - - - 0800 - 0940 OSS 432

Days of Week:

- T - - - - -

Time of Day:

0800 - 0940

Location:

OSS 432

Course Registration Number:

20646 (View in ClassFinder)

Credit Hours:

0 Credit Hours

Instructor:

Marc D. Isaacson

This lab section will use EXCEL for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 02 lecture.

Schedule Details

Location Time Day(s)
STAT 220 - 55 Statistics I (Lab) - - - R - - - 0800 - 0940 OSS 432

Days of Week:

- - - R - - -

Time of Day:

0800 - 0940

Location:

OSS 432

Course Registration Number:

20647 (View in ClassFinder)

Credit Hours:

0 Credit Hours

Instructor:

Marc D. Isaacson

This lab section will use EXCEL for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 02 lecture.

Schedule Details

Location Time Day(s)
STAT 220 - 65 Statistics I (Lab) - - - R - - - 0955 - 1135 OSS 432

Days of Week:

- - - R - - -

Time of Day:

0955 - 1135

Location:

OSS 432

Course Registration Number:

22302 (View in ClassFinder)

Credit Hours:

0 Credit Hours

Instructor:

Marc D. Isaacson

This lab section will use EXCEL for data analysis. Please check with your academic advisor to determine whether this is the recommended lab for your intended major. Note: Students registering for this lab must also register for STAT 220 05 lecture.

Schedule Details

Location Time Day(s)