Century College

Course Equivalents

# Course Equivalents for MATH 1025 at Century College 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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## Anoka Technical College

 MATH 1550 - Introduction to Statistics - 4 credits Mathematical/Logical Reasoning (04) This course is an introduction to the principles of statistics, and data analysis using real-world problems. Topics include descriptive statistical measures, probability, graphs and distributions, hypothesis testing, correlation, and linear regression, and inferential statistics. (Prerequisites: MATH 0900, or MATH 0951, or MATH 1080, or MATH 1400 , or appropriate score on algebra placement test) (MN Transfer Goal 4) (4 credits lecture/0 credits lab) This course is an introduction to the principles of statistics, and data analysis using real-world problems. Topics include descriptive statistical measures, probability, graphs and distributions, hypothesis testing, correlation, and linear regression, and inferential statistics. (Prerequisites: MATH 0900, or MATH 0951, or MATH 1080, or MATH 1400 , or appropriate score on algebra placement test) (MN Transfer Goal 4) (4 credits lecture/0 credits lab) Section Availability

## Anoka-Ramsey Community College

 MATH 1114 - Introduction to Statistics - 4 credits Mathematical/Logical Reasoning (04) (MnTC Goal 4) Prerequisites (must have a grade of C or better): MATH 0230 or MATH 0240 with a grade of C or better, or appropriate score on math placement 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, chi-square tests, analysis of variance (ANOVA), and linear regression; use of statistical software. (MnTC Goal 4) Prerequisites (must have a grade of C or better): MATH 0230 or MATH 0240 with a grade of C or better, or appropriate score on math placement 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, chi-square tests, analysis of variance (ANOVA), and linear regression; use of statistical software. 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. MnTC Goal 4 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. MnTC Goal 4 Section Availability

## Dakota County Technical College

 MATS 1251 - Statistics - 4 credits Mathematical/Logical Reasoning (04) Fundamental principles of inferential statistics are presented in lecture (3 hrs) augmented by computer labs using Excel (2 hrs). Essential topics include sampling methods; descriptive statistics; counting and probability; binary, 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 Fundamental principles of inferential statistics are presented in lecture (3 hrs) augmented by computer labs using Excel (2 hrs). Essential topics include sampling methods; descriptive statistics; counting and probability; binary, 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 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. 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

## Hibbing Community College

 MATH 2010 - Statistics - 4 credits Mathematical/Logical Reasoning (04)Critical Thinking (02) Statistics is a course designed to study descriptive statistics, probability, probability distributions, the normal distribution, sampling distributions, the central limit theorem, hypothesis testing, analysis of variance, correlation analysis, regression analysis, multiple regression analysis, chi-square distributions, nonparametric hypothesis testing, and quality charting. A statistical software package will be used by the student. MNTC Goal Area(s): (2) Critical Thinking and (4) Math/Logical Reasoning. PREREQUISITES: MATH 1020: Advanced Algebra with a grade of "C" or better, or Placement Exam Statistics is a course designed to study descriptive statistics, probability, probability distributions, the normal distribution, sampling distributions, the central limit theorem, hypothesis testing, analysis of variance, correlation analysis, regression analysis, multiple regression analysis, chi-square distributions, nonparametric hypothesis testing, and quality charting. A statistical software package will be used by the student. MNTC Goal Area(s): (2) Critical Thinking and (4) Math/Logical Reasoning. PREREQUISITES: MATH 1020: Advanced Algebra with a grade of "C" or better, or Placement Exam 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, chi-square tests, and ANOVA. Professional statistical software, such as Minitab, will be integrated throughout the class. Graphing calculator required for the course. Recommendation based on the results of the Inver Hills Assessment Test or grade of "C" or higher in MATH 0820 or 0840 within the last 2 years. 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, chi-square tests, and ANOVA. Professional statistical software, such as Minitab, will be integrated throughout the class. Graphing calculator required for the course. Recommendation based on the results of the Inver Hills Assessment Test or grade of "C" or higher in MATH 0820 or 0840 within the last 2 years. 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 pre-professional 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 chi-square 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) An introductory course in descriptive and inferential statistics for business and pre-professional 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 chi-square 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

## Metropolitan State University

 STAT 201 - Statistics I - 4 credits Mathematical/Logical Reasoning (04) This course covers the basic principles and methods of statistics. It emphasizes techniques and applications in real-world problem solving and decision making. Topics include frequency distributions, measures of location and variation, probability, sampling, design of experiments, sampling distributions, interval estimation, hypothesis testing, correlation and regression. This course covers the basic principles and methods of statistics. It emphasizes techniques and applications in real-world problem solving and decision making. Topics include frequency distributions, measures of location and variation, probability, sampling, design of experiments, sampling distributions, interval estimation, hypothesis testing, correlation and regression. Section Availability

## Minneapolis Community and Technical College

 MATH 1140 - Introductory Statistics - 3 credits Mathematical/Logical Reasoning (04) This course emphasizes both the interpretation and evaluation of surveys, experiments, probabilities, graphic/tabular displays, data summaries, or other statistical reports encountered in daily life as well as statistical calculations. You will learn about data collection, numerical and graphic summaries, basic ideas of probability, hypothesis testing using a normal and/or chi-squared distribution, estimation, correlation and regression. This course emphasizes both the interpretation and evaluation of surveys, experiments, probabilities, graphic/tabular displays, data summaries, or other statistical reports encountered in daily life as well as statistical calculations. You will learn about data collection, numerical and graphic summaries, basic ideas of probability, hypothesis testing using a normal and/or chi-squared distribution, estimation, correlation and regression. 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 z-test, t-test, chisquare-test, f-test, and ANOVA. A study of nonparametric statistics, sampling and simulation may also be included. 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 z-test, t-test, chisquare-test, f-test, and ANOVA. A study of nonparametric statistics, sampling and simulation may also be included. Section Availability

 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 population mean and population proportion, and simple linear regression. 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. Measures of central tendency and variation, probability, probability distributions, sampling distributions and the central limit theorem, estimation and tests of hypotheses for population mean and population proportion, and simple linear regression. 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

## 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 sub-score of 19 or higher, successful completion of MATH 098 or appropriate placement scores (see Placement Information under Statistics) Fall, Spring, Summer GE-4 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 sub-score of 19 or higher, successful completion of MATH 098 or appropriate placement scores (see Placement Information under Statistics) Fall, Spring, Summer GE-4 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 or MATH 0099, NURS 1130 or placement by exam. 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 or MATH 0099, NURS 1130 or placement by exam. Section Availability

## Normandale Community College

 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: z-scores and percentiles, normal distribution and central limit theorem. Estimation, hypothesis testing, t and z tests, chi-square tests, analysis of variance (ANOVA), and linear regression. Concepts and application of descriptive and inferential statistics. Measures of central tendency and variance: z-scores and percentiles, normal distribution and central limit theorem. Estimation, hypothesis testing, t and z tests, chi-square tests, analysis of variance (ANOVA), and linear regression. Section Availability
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 MATH 1090 - STATWAY Statistics 2 - 4 credits This course is the second in a two-semester sequence designed to guide students in completing the topics covered in both beginning algebra and college-level 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. Chi-square 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. This course is the second in a two-semester sequence designed to guide students in completing the topics covered in both beginning algebra and college-level 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. Chi-square 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 and variation, linear regression, binomial and normal distributions, the central limit theorem, confidence intervals and hypothesis testing for one population and two populations. Additional topics may include basic probability, conditional probability, Bayes¿ Theorem, analysis of variance, and chi-squared tests. This is an introductory course in descriptive statistics, probability, random variables, and inferential statistics. Topics include exploratory data analysis, measures of central tendency and variation, linear regression, binomial and normal distributions, the central limit theorem, confidence intervals and hypothesis testing for one population and two populations. Additional topics may include basic probability, conditional probability, Bayes¿ Theorem, analysis of variance, and chi-squared tests. 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, Chi-square, analysis of variance, correlation, and regression. The use of statistical software is included in this course. Prerequisite: Math 0660 or qualifying score on placement test. MnTC (Goals 4/MA and 2/CT); (4 Cr - 4 lect, 0 lab) 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, Chi-square, analysis of variance, correlation, and regression. The use of statistical software is included in this course. Prerequisite: Math 0660 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) 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, READ 0900). 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, READ 0900). 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, z-scores, t-tests, F-tests, Chi-square 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 0740 or MATH 0910 with a grade of "C" or better or appropriate assessment score) (MnTC: Goal 4) 4C/4/0/0 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, z-scores, t-tests, F-tests, Chi-square 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 0740 or MATH 0910 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: Next-Generation Accuplacer QAS score of 250 to 300; or Classic Accuplacer Arithmetic score of 56 or higher AND Classic Accuplacer Elementary Algebra score of 76 or higher; or completion of either MATH 0085 or MATH 0095 with a grade of C (2.0) or higher or ACT Math score of 19 or higher.) 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: Next-Generation Accuplacer QAS score of 250 to 300; or Classic Accuplacer Arithmetic score of 56 or higher AND Classic Accuplacer Elementary Algebra score of 76 or higher; or completion of either MATH 0085 or MATH 0095 with a grade of C (2.0) or higher or ACT Math score of 19 or higher.) Section Availability

## Southwest Minnesota State University

 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. 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 Technical and Community College

 MATH 1351 - Introductory Statistics - 4 credits Mathematical/Logical Reasoning (04) This course focuses on the principles and applications of statistics and data analysis with an emphasis on inference. The goals are to help students acquire a solid foundation in the basics of statistics and its application in solving practical problems. This course uses examples from various disciplines to illustrate the relevancy of statistics in real world situations. Topics include descriptive statistics, probability and sampling distributions, estimation and hypothesis testing of parameters, comparison of population parameters, and regression and inference about relationships. Student Learning Outcomes: * Apply mathematical and statistical concepts that form the foundation of statistical analysis and problem solving. * Demonstrate basic skills in collecting, organizing, analyzing and interpreting quantitative data. * Apply an evidence-based approach in problem solving with consideration of probability and contingency. * Utilize procedures for manipulating algebraic expressions and equations. * Demonstrate and apply critical thinking skills to solve a variety of problems. * Interpret the concepts of probability and variability, and their roles in statistics. * Apply probability and statistical principles appropriately to applications. * Utilize a systematic approach to problem solving which incorporates verbal, numeric, visual and symbolic strategies. * Communicate mathematical understanding to others verbally and in written form. * Expand mathematical reasoning skills and formal logic to develop convincing mathematical arguments. This course focuses on the principles and applications of statistics and data analysis with an emphasis on inference. The goals are to help students acquire a solid foundation in the basics of statistics and its application in solving practical problems. This course uses examples from various disciplines to illustrate the relevancy of statistics in real world situations. Topics include descriptive statistics, probability and sampling distributions, estimation and hypothesis testing of parameters, comparison of population parameters, and regression and inference about relationships. Student Learning Outcomes: * Apply mathematical and statistical concepts that form the foundation of statistical analysis and problem solving. * Demonstrate basic skills in collecting, organizing, analyzing and interpreting quantitative data. * Apply an evidence-based approach in problem solving with consideration of probability and contingency. * Utilize procedures for manipulating algebraic expressions and equations. * Demonstrate and apply critical thinking skills to solve a variety of problems. * Interpret the concepts of probability and variability, and their roles in statistics. * Apply probability and statistical principles appropriately to applications. * Utilize a systematic approach to problem solving which incorporates verbal, numeric, visual and symbolic strategies. * Communicate mathematical understanding to others verbally and in written form. * Expand mathematical reasoning skills and formal logic to develop convincing mathematical arguments. Section Availability

## Winona State University

 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. 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