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 Searching Current Courses For Summer 2022

  Course: MAT 1260
  Title:Intro to Statistics: MA1
  Long Title:Introduction to Statistics: GT-MA1
  Course Description:Introduces descriptive and inferential statistics, with an emphasis on critical thinking and statistical literacy. Topics include methods of data collection, presentation and summarization, introduction to probability concepts and distributions, and statistical inference of one and two populations. This course uses real world data to illustrate applications of a practical nature. This is a statewide Guaranteed Transfer course in the GT-MA1 category.
  Min Credit:3
  Max Credit:

  Status Notes:
   S:
   S:
  Origin Notes: ACC
  General Notes:MPM Updates 3/28/2018
  General Notes:updated new GT language 8/15/18 dl

 For REQUIRED SYLLABUS information that is to be included on all syllabi starting Spring 2018, 201830 go to https://internal.cccs.edu/wp-content/uploads/documents/GT-MA1-Required-Syllabus-Info.docx.
 REQUIRED COURSE LEARNING OUTCOMES:
 1.  Communicate the language of statistics using the appropriate terminology.
 2.  Analyze numerical summaries and graphical displays of sample data.
 3.  Analyze bivariate data by applying the concepts of correlation and regression.
 4.  Apply the basic rules of probability.
 5.  Utilize the appropriate probability distribution.
 6.  Make inferences about one or more populations using sample data.
 7.  Utilize technology to further statistical understanding and reasoning.


 RECOMMENDED TOPICAL OUTLINE:
 I.    The language and appropriate terminology of statistics
         A.  Introduction to experimental vs observational studies
         B.  Introduction to qualitative vs quantitative studies
         C.  Introduction to the research process
         D.  Introduction to sources of bias
         E.  Population vs samples
         F.  Parameters vs statistics
         G.  Types of data (discrete/continuous, quantitative/qualitative)
         H.  Types of variables (lurking/confounding/explanatory/response)
         I.  Sampling techniques (random/systematic/stratified/cluster/convenience)
         J.  Relevance of statistics to scientific and other real-world problems
 II.   Numerical summaries and graphical displays of sample data
         A.  Frequency distribution tables including construction
         B.  Graphical displays of qualitative and quantitative data including construction
         C.  Distribution shapes (modality and skew)
         D.  Measures of central tendency including calculations with or without technology
         E.  Measures of variation including calculations with or without technology
         F.  Measures of relative position including calculations with or without technology
 III.  Bivariate data by applying the concepts of correlation and regression
         A.  Scatter plots including construction
         B.  Correlation including calculations with or without technology
         C.  Linear regression
         D.  Analysis of residuals
 IV.   Fundamentals of probability
         A.  Law of Large Numbers
         B.  Addition and multiplication rules
         C.  Introduction to permutations and combinations
         D.  Complementary events
         E.  Conditional probability
 V.    Probability distribution
         A.  Introduction to discrete probability distributions
         B.  Binomial distributions
         C.  Normal distributions
 VI.   Inferences about one or more populations using sample data
         A.  The Central Limit Theorem
         B.  Sample size for mean and proportion
         C.  Confidence intervals for one and two populations
         D.  Hypothesis tests for one and two populations
         E.  Chi-square and goodness of fit tests
         F.  Introduction to Analysis of variance (ANOVA)
 VII.  Technology to further statistical understanding and reasoning



 Course Offered At:

  Arapahoe Community College ACC
  Community College of Aurora CCA
  Colorado Community College Sys CCCS
  Community College of Denver CCD
  Colorado Northwestern CC CNCC
  Front Range Community College FRCC
  Lamar Community College LCC
  Morgan Community College MCC
  Northeastern Junior College NJC
  Otero College OJC
  Pueblo Community College PCC
  Pikes Peak State College PPCC
  Red Rocks Community College RRCC
  Trinidad State College TSJC
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Release: 8.5.3