Course Equivalents
Course Equivalents for STAT 201 at Metropolitan State University in
While all courses listed as equivalents below are transferable, they are not necessarily equivalent in both directions. The courses below transfer TO the college or university shown above. To see how courses from your home college or university transfer to other participating colleges or universities, you can search Transferology.
If you are enrolling in the equivalent course in order to fulfill a program/major requirement, it is best to check with your academic advisor to ensure that the equivalent course will meet the requirements of your particular major.
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Alexandria Technical and Community College
MATH 1445  Introduction to Statistics  3 credits
Mathematical/Logical Reasoning (04)

This course meets Minnesota Transfer Curriculum (MnTC) goal area 4. This course is primarily for business, science, liberal arts, psychology, and education majors. Topics studied include descriptive measures for empirical data, theory of probability, probability distributions, sampling distributions of statistics from large and small samples, estimation theory, hypothesis testing, correlation, and regression. Prerequisite: MATH1415 or MATH1420 or MATH1425.
Section Availability

AnokaRamsey Community College
MATH 1114  Introduction to Statistics  4 credits
Mathematical/Logical Reasoning (04)

(MnTC Goal 4)
Prerequisite: MATH 0240 with a grade of C or better or appropriate score on math assessment test
Recommended Skills, Abilities, or Coursework:
1. Arithmetic skills with whole numbers, integers, fractions/ratios, and decimals.
2. Computational skills with percentages and decimals.
3. Algebraic skills with linear, quadratic, and rational expressions and equations.
4. Manipulative facility with square roots.
5. Facility with graphing straight lines from knowledge of the equation, slope/intercept, or point/intercept.
Introductory course in data description and analysis using graphical and numerical methods. Students will work with discrete and continuous random variables and their probability distributions with emphasis on the normal distribution. Topics include: experimental design and sampling methods; confidence intervals, sample size, and hypothesis testing for one and two population means or proportions; t and z tests, chisquare tests, analysis of variance (ANOVA), and linear regression; use of statistical software.
Section Availability

Bemidji State University
BUAD 3232  Business Statistics II  3 credits

Application of concepts for data analysis with emphasis on regression and correlation, time series, analysis of variance, and business forecasting. Prerequisite: BUAD 2231 or consent of instructor.
Section Availability

 OR 
STAT 2610  Applied Statistics  4 credits
Mathematical/Logical Reasoning (04)

A nontheoretical introduction to statistics with an emphasis on applications in a variety of disciplines. Topics include measures of central tendency, position and dispersion; basic probability; hypothesis testing; estimation; analysis of variance; linear correlation and regression; nonparametric statistics. Prerequisite: Three years of high school mathematics (including two years of algebra) and an appropriate score on the Mathematics Placement Test, or completion of MATH 1170 or higher. Liberal Education Goal Area 4.
Section Availability

Central Lakes College
MATH 1460  Introduction to Statistics  4 credits
Mathematical/Logical Reasoning (04)

This course covers descriptive statistics, sampling, probability, probability distributions, normal probability distributions, estimates and sample size, hypothesis testing, correlation and regression, inferences of two samples, and process control.
Section Availability

Century College
ECON 2021  Statistics for Business and Economics (Online)  3 credits

This course is an introduction to quantitative decision making. It will focus on probabilistic and statistical techniques as applied to business decisionmaking. Topics include probability, classical statistics, expected value, and sampling. This course includes the use of a statistical software package. Prerequisite: Assessment score placement in Math 1081 or above, or completion of Math 1061 with a grade of "C" or higher.
Section Availability

 OR 
MATH 1025  Statistics (Online)  4 credits
Mathematical/Logical Reasoning (04)

This course is an algebrabased statistics course that introduces the basic concepts involved in collecting, analyzing, and interpreting data. Topics include graphs, frequency distributions, measures of central tendency and variation, probability, probability distributions, expected value, sampling distributions, normal distribution, confidence intervals, hypothesis testing for one and two population means and proportions, chi square, linear regression, and correlation. This course includes analysis and interpretation of data using the Minitab software package and using the TI83/TI84 calculator. Students are required to have a TI83 or a TI84 calculator. MnTC Goal 4 Prerequisite: Assessment score placement in MATH 1025 or higher, or MATH 0060 with a grade of C or higher, or MATH 0070 with a grade of C or higher, or MATH 1030 or above with a grade of C or higher. Recommendation: Assessment score placement in RDNG 1000 or completion of RDNG 0900 or RDNG 0950 with a grade of C or higher.
Section Availability

Fond du Lac Tribal and Community College
MATH 1030  Introduction to Statistics  3 credits
Mathematical/Logical Reasoning (04)

An introduction to statistics suitable for social and behavioral science majors, but also suitable for students in other disciplines. Topics include statistical theory and experimental design, descriptive statistics, probability distributions models, regression analysis and correlation, interfence and sampling methods.
Section Availability

Hennepin Technical College
MATH 2150  Introduction to Statistics  3 credits
Mathematical/Logical Reasoning (04)

This is an introductory course in descriptive statistics, probability, and inferential statistics topics include statistical theory and experimental design, data analysis, measures of central tendency, measures of dispersion, basic probability, binomial and normal distributions, regression analysis and correlation, inference, and sampling methods. Additional topics may include chisquared tests and analysis of variance. (Prereq: Qualifying score on math assessment test OR MATH1700) (BP/EP) 3 cr MnTC Goal Area 4
Section Availability

Inver Hills Community College
MATH 1103  Introduction to Statistics  4 credits
Mathematical/Logical Reasoning (04)
Critical Thinking (02) 
Presents basic statistics which includes descriptive and graphical statistics, basic probability, probability distributions, sampling distributions, confidence intervals and hypotheses testing for one or two populations, linear regression, chisquare tests, and ANOVA. Professional statistical software, such as Minitab, will be integrated throughout the class. Graphing calculator required for the course.
Section Availability

Lake Superior College
MATH 2210  General Statistics  3 credits
Mathematical/Logical Reasoning (04)

An introductory course in descriptive and inferential statistics for business and preprofessional majors. The following topics will be covered: organizing data, averages and variations around the mean, probability and probability statistics, binomial, normal and sampling distributions, estimations, hypothesis testing, testing variance, regression and correlation, and chisquare analysis. MTC goal area: (4) Mathematical/Logical Reasoning. (Prerequisites: MATH0470 or MATH0480, with a "C" or better) (3 hrs lec/0 hrs lab/0 hrs OJT)
Section Availability

Minneapolis Community and Technical College
MATH 1150  Statistical Analysis  4 credits
Mathematical/Logical Reasoning (04)

This course is an introduction to the fundamental concepts of descriptive and inferential statistics, with an emphasis on applications. Course content includes: sample surveys and experiment designs; graphic presentation of data; measures of central tendency, variation and position; exploratory data analysis; introductory probability; random variables and probability distributions; binomial and normal distributions; the Central Limit Theorem; estimation; hypothesis testing; comparisons of two populations; correlation and regression; applications of chisquare; and analysis of variance (ANOVA). The course assumes that the student is familiar with basic computer applications software. Statistical software and/or statistical graphing calculators are introduced and used extensively.
Section Availability

 OR 
MATH 1140  Introductory Statistics  3 credits
Mathematical/Logical Reasoning (04)

Rather than statistical calculations, this course emphasizes the interpretation and evaluation of surveys, experiments, probabilities, graphic/tabular displays, data summaries, or other statistical reports encountered in daily life. Topics include: data collection, numerical and graphic summaries, basic ideas of probability, the normal distribution, estimation, hypothesis testing, correlation and regression, and index numbers.
Section Availability

 OR 
MATH 1090  STATWAY Statistics 2  4 credits
Mathematical/Logical Reasoning (04)

This is the second semester of a twosemester course where you will learn the concepts and methods of statistics with an emphasis on data analysis. Over the two semesters, you will learn methods for collecting data, graphical and numerical descriptive statistics, correlation, simple linear regression, basic concepts of probability, confidence intervals and hypothesis tests for means and proportions, and chisquare tests. The developmental mathematics concepts that serve as a foundation for statistical analysis are integrated into the course. Upon successful completion of both MATH 0990 and MATH 1090, you will fulfill MnTC Goal Area 4.
Section Availability

Minnesota State Community and Technical College
MATH 1213  Introduction to Statistics  4 credits
Mathematical/Logical Reasoning (04)
Critical Thinking (02) 
Meets MNTC Goal Areas 2 and 4. Prerequisites: MATH1114, or MATH1118 or by placement test. This course is designed to be an introduction to statistics. Topics include data summary, frequency distributions, plots, graphs, measures of central tendency, variation, probabilities, probability distributions, and confidence intervals. Hypothesis testing of means, proportions, and variances will be conducted using the ztest, ttest, chisquaretest, ftest, and ANOVA. A study of nonparametric statistics, sampling and simulation may also be included.
Section Availability

Minnesota State University Moorhead
MATH 234  Introduction to Probability and Statistics  3 credits
Mathematical/Logical Reasoning (04)

Measures of central tendency and variation, probability, probability distributions, sampling distributions and the central limit theorem, estimation and tests of hypotheses for one and two population means and proportions, simple linear regression and categorical data analysis. May not be taken for credit by those who earned credit in MATH 336. Students who have completed MATH 262 are encouraged to take MATH 335 rather than MATH 234. Must have successfully completed College Algebra or acceptable placement score. MnTC Goal 4.
Section Availability

 OR 
MATH 335  Intermediate Probability and Statistics I  4 credits

Probability, probability distributions of discrete random variables, probability density functions, expected value and variance, sampling distributions and central limit theorem, point and interval estimation, and tests of hypotheses for the population mean. Simple linear regression, one factor ANOVA and ANOVA for regression.
Section Availability

Minnesota State University, Mankato
STAT 154  Elementary Statistics  4 credits
Mathematical/Logical Reasoning (04)

An introduction to statistical concepts and methods that is applicable to all disciplines. Topics include descriptive measures of data, probability and probability distributions, statistical inference, tests of hypotheses, confidence intervals, correlation, linear regression, and analysis of variance. The use of statistical software will be emphasized. Prereq: ACT Math subscore of 19 or higher, successful completion of MATH 098 or appropriate placement scores (see Placement Information under Statistics) Fall, Spring, Summer GE4
Section Availability

 OR 
PSYC 201  Statistics for Psychology  4 credits

This course emphasizes understanding the conceptual basis of common statistical procedures and applying those procedures to the problems of organizing information and making inferences from data. Topics include: summarizing data, the logic of inference, estimation, analysis of variance, and correlation.
Section Availability

 OR 
ECON 207  Business Statistics  4 credits

Basic statistical methods including measures of central tendency and dispersion, probability, probability distributions, sampling, problems of estimation and hypothesis testing in the case of one and two sample meaans and proportions. ChiSquare, oneway analysis of variance, simple regression and correlation analysis, and brief introduction to multiple regression analysis. Use of computer statisticaal packages required. Prereq: MATH 112 or equivalent
Section Availability

Minnesota West Community and Technical College
MATH 1105  Introduction to Probability and Statistics  4 credits
Mathematical/Logical Reasoning (04)

Math 1105 introduces the math concepts of measures of central tendency, measures of dispersion, frequency distributions, probability, sampling distributions and the central limit theorem, testing of hypotheses, analysis of variance, linear regression and correlation analysis. Prerequisite: Two years of high school algebra, MATH 0098, or placement by exam.
Section Availability

Normandale Community College
MATH 2400  Probability & Statistics with Calculus  4 credits
Mathematical/Logical Reasoning (04)

Descriptive statistics, elementary probability and probability distributions, sampling and the elements of statistical inference including point/interval estimation and hypothesis tests.
Section Availability

 OR 
BUSN 2220  Statistics for Business and Economics  4 credits

Basic statistics of business, economics, and public administration. Descriptive statistics, probability and statistical inference. Understanding statistical methods as tools of decisionmaking. Prereq: MATH 1100 with a grade of C or higher or scoring at MATH 1500 level on course assessment.
Section Availability

 OR 
MATH 1080  Introduction to Statistics  4 credits
Mathematical/Logical Reasoning (04)

Concepts and application of descriptive and inferential statistics. Measures of central tendency and variance: zscores and percentiles, normal distribution and central limit theorem. Estimation, hypothesis testing, t and z tests, chisquare tests, analysis of variance (ANOVA), and linear regression.
Section Availability

 OR 
MATH 1090  STATWAY Statistics 2  4 credits

This course is the second in a twosemester sequence designed to guide students in completing the topics covered in both beginning algebra and collegelevel introductory statistics in one year. The two semester sequence is useful to students whose academic program is satisfied by an introductory statistics course. STATWAY Statistics 2 covers sampling distributions, Central Limit Theorems, confidence intervals, and hypothesis testing for population proportions, population means, and means of paired differences. Chisquare tests for one and two way tables and ANOVA methods are also covered, as well as necessary topics from beginning algebra. The curriculum is based on student collaborative group learning. Students must commit to completing Math 0990 and MATH 1090 as a required sequence of courses: MATH 0990 in one semester and MATH 1090 in a subsequent semester.
Section Availability

North Hennepin Community College
MATH 1130  Elementary Statistics  3 credits
Mathematical/Logical Reasoning (04)

This is an introductory course in descriptive statistics, probability, random variables, and inferential statistics. Topics include exploratory data analysis, measures of central tendency, measures of dispersion, linear regression, basic probability, binomial and normal distributions, the central limit theorem, confidence intervals and hypothesis tests. Additional topics may include inferential procedures for two populations, analysis of variance and chisquared tests.
Prerequisites: College math placement level or successful completion of Math 0900 or 0902 or 0980 or 1010 or 1031 or 1140 with grade of "C" or better.
Section Availability

Northland Community and Technical College
MATH 2203  Statistics  4 credits
Mathematical/Logical Reasoning (04)

(Fulfills MNTC Area: 4) This course covers the basic concepts of elementary statistics, including descriptive statistics, elementary probability, probability distributions, confidence intervals, hypothesis testing, correlation, chisquare tests, ANOVA, statistical inference, and linear and multiple regression. Prerequisites: A grade of C or better in MATH0094 or MATH0098 or MATH1102, or an appropriate placement test score on the Elementary Algebra section of the Math assessment test.
Section Availability

Ridgewater College
MATH 0201  Elementary Statistics  3 credits
Mathematical/Logical Reasoning (04)

Topics covered include using formulas and technology in solving problems, grouping and graphing data, measures of central tendency and variability, normal distributions, confidence intervals, hypothesis tests, and correlation. This course is designed to provide the students with statistical concepts and techniques used in sociology, psychology, and related fields.
Prerequisites: A grade of C or better in MATH 98 or MATH 99, or appropriate score on the math placement exam
Section Availability

Riverland Community College
MATH 2021  Fundamentals of Statistics  4 credits
Mathematical/Logical Reasoning (04)
Critical Thinking (02) 
This course is an introduction of basic statistical methods including sampling, analyzing a research study, measures of central tendency and dispersion, probability, confidence intervals, hypothesis testing of means and proportions, Chisquare, analysis of variance, correlation, and regression. The use of statistical software is included in this course. Prerequisite: Math 0660 or Math 0670 or qualifying score on placement test. MnTC (Goals 4/MA and 2/CT); (4 Cr  4 lect, 0 lab)
Section Availability

Rochester Community and Technical College
MATH 2208  Fundamentals of Statistics  4 credits
Mathematical/Logical Reasoning (04)
Critical Thinking (02) 
This course is an introduction and overview of math statistics. Topics will include (but not limited to) descriptive statistics, probability and hypothesis testing. Computers and graphics calculators will be used extensively throughout the class in the classroom and computer lab setting. (Prerequisites: MATH 0099 or MATH 0100 or MATH 1111 or equivalent or higherlevel math
course with grade of C or better or appropriate math placement test score; placement at college level reading and writing). (4 C). MNTC: Goal 2/Critical Thinking, Goal 4/Mathematics/Logical Reasoning.
Section Availability

 OR 
BUS 2212  Business & Economic Statistics  4 credits

This course is an introduction and overview of business statistics. Topics will include descriptive statistics, probability, sampling methods, confidence intervals, one and two sample tests of hypothesis, analysis of variance, and linear regression. Statistical calculators and software will be used extensively throughout the class. Emphasis is on application of statistical techniques and procedures for solving businessrelated problems, rather than mathematical theories. College level reading and MATH 0099 is recommended for this course. (Prerequisites: None). (4 C/4 lect).
Section Availability

 OR 
BUS 2212  Business & Economic Statistics  4 credits

This course is an introduction and overview of business statistics. Topics will include descriptive statistics, probability, sampling methods, confidence intervals, one and two sample tests of hypothesis, analysis of variance, and linear regression. Statistical calculators and software will be used extensively throughout the class. Emphasis is on application of statistical techniques and procedures for solving businessrelated problems, rather than mathematical theories. College level reading and MATH 0099 is recommended for this course. (Prerequisites: None). (4 C/4 lect).
Section Availability

Saint Paul College
MATH 1740  Introduction to Statistics  4 credits
Mathematical/Logical Reasoning (04)

This course covers concepts and applications of descriptive and inferential statistics. Measures of central tendency and variance, confidence intervals, normal distributions and central limit theorem are explored. The student learns about probability distributions and random variables. Techniques of estimation, hypothesis testing, zscores, ttests, Ftests, Chisquare tests, analysis of variance (ANOVA) and linear regression are covered in this course. This course can be used to fulfill the general education requirement for math, and transfer to 2 and 4 year institutions. (Prerequisite(s): MATH 0920 Intermediate Algebra with a grade of "C" or better or appropriate assessment score) (MnTC: Goal 4) 4C/4/0/0
Section Availability

South Central College
MATH 154  Elementary Statistics  4 credits
Mathematical/Logical Reasoning (04)

This course introduces the essential mathematical elements of statistics, applying them to a broad range of areas including business, manufacturing, economics, and the physical, biological and social sciences. Topics include descriptive measures of data, measures of central tendency, variability, standard probability distributions, tests of hypotheses, confidence intervals, and estimation. To put the treatment on a strong foundation, concepts of probability are developed throughout, and shown to form the unifying theme behind modern statistics. (Prerequisites: Two years of high school algebra, completion of MATH 0085 with a grade of C or higher or a score of 75.5 or higher on the Elementary Algebra portion of the Accuplacer test) (MNTC 4: Mathematical/Logical Reasoning)
Section Availability

Southwest Minnesota State University
FIN 230  Business Statistics I  3 credits

Beginning statistical theory and procedures, including data collection, sampling techniques, organization and presentation of data, measurement of central tendency, probability concepts, discrete and continuous probability distributions, statistical estimation, hypothesis testing, and linear regression. Students use a computer to do some statistical analysis.
Section Availability

 OR 
MATH 200  Introduction to Statistics  3 credits
Mathematical/Logical Reasoning (04)

Introduction to measures of central tendency, measures of dispersion, frequency distributions, large and small samples, testing of hypotheses, and correlation analysis. Use of computers in statistical analysis. The required preparation is MATH 110 or three years of high school mathematics.
Section Availability

St. Cloud State University
IS 242  Business Statistics  4 credits

Business problem solving: data collection, summarizing and describing data, estimation and hypotheses testing, analysis of variance, regression analysis, time series, quality control, decision analysis. Statistical software. Tutorial. Prereq.: MATH 196 or equivalent. 4 Cr. F,S,SUM.
Section Availability

 OR 
STAT 219  Statistical Methods I for Social Sciences  3 credits
Mathematical/Logical Reasoning (04)

Descriptive statistics, graphical displays, random sampling, and normal distribution; introduction to confidence intervals and hypothesis tests for means and proportions; paired ttest, chisquare test in contingency tables, brief introduction to correlation and simple linear regression; social science applications; use of statistical software. Prereq.: STAT 193 or MATH 193 or satisfactory math placement score. 3 Cr. F, S, SUM.
Section Availability

 OR 
STAT 242  Statistical Methods I for Business  4 credits

Business problem solving: Data collection, summarizing and describing data, estimation and hypotheses testing, analysis of variance, regression analysis, time series, quality control, decision analysis. Use of statistical software. Prereq.: MATH 196 or equivalent. 4 Cr. F, S, SUM.
Section Availability

 OR 
STAT 239  Statistical Methods I for Natural Sciences  3 credits
Mathematical/Logical Reasoning (04)

Descriptive statistics, correlation and regression, design and sampling methods, one and two sample inferences for means and proportions. Introduction to chisquare tests and one way ANOVA. Use of statistical software. Prereq.: STAT 193 or MATH 112 or satisfactory math placement score. 3 Cr. F, S, SUM.
Section Availability

St. Cloud Technical and Community College
MATH 1350  Statistics  3 credits

Section Availability 
Winona State University
ECON 222  Statistics for Business and Economics  3 credits

Elementary business statistics including descriptive measures, elementary probability, sampling of distributions, and statistical inference. Prerequisites: Qualifying score on the mathematics placement exam or MATH 050 or MATH 110 or MATH 112 or MATH 115 or MATH 120 or MATH 140 or MATH 212. Grade only.
Section Availability

 OR 
PSY 231  Statistics  3 credits

An overview of the theories, procedures, and applications of descriptive, correlational, and inferential statistics in the behavioral sciences. Topics include central tendency, variability, correlation, linear regression, parametric and nonparametric tests of significance. Prerequisites: PSY 210, and either MATH 110 or higher or STAT 110 or higher. Grade only. Offered each semester.
Section Availability

 OR 
STAT 110  Fundamentals of Statistics  3 credits
Mathematical/Logical Reasoning (04)

Introductory statistics with emphasis on applications. Prerequisite: Qualifying score on the mathematics placement or STAT 100  Numbers and Data in Society. Students in certain majors should take STAT 210  Statistics instead of STAT 110. Meets GOAL 4. Offered every semester.
Section Availability

 OR 
STAT 305  Biometry  3 credits

An introductory course of statistical applications in the biological sciences. Data reduction, sampling, techniques of estimation, hypothesis testing, and model verification procedures are included. Diversity indices, techniques of species sampling, and other specific biometric methods will be covered. Prerequisite: MATH 112 or higher. Note: STAT 305 cannot be used as a MATH or STAT elective for mathematics, mathematics education, or statistics majors. Grade only.
Section Availability

 OR 
STAT 210  Statistics  3 credits
Mathematical/Logical Reasoning (04)

First course in statistics for students with a strong mathematics background. Prerequisites: MATH 140 or MATH 212. Meets GOAL 4.
Section Availability
