Course Description, Outcomes, and Required Materials

Math 11 - Elementary Statistics

Course Description

An introduction to elementary probability and statistics, including the basic rules of probability, probability distributions, descriptive statistics, hypothesis testing, estimation, correlation and regression analysis using data from a variety of disciplines and appropriate technology.

  • CRN: 10510

  • Number of Units: 4.0

  • Prerequisites: A minimum grade of C in MATH 104.

  • Co-requisites: N/A

  • Advisories:

 

Course Objectives

Upon successful completion of the course, a student should be able to demonstrate the following activities:

  • Perform statistical analysis using technology such as SPSS, EXCEL, Minitab, or graphing calculators.
  •  Read and analyze statistical software output.
  •  Analyze a problem and determine which probability distribution is the best model.
  •  Create and interpret frequency distributions.
  •  Solve problems involving probabilities by applying concepts of sample space and probability.
  •  Recognize and distinguish between independent and mutually exclusive events.
  •  Recognize and apply the basic definitions and rules of probability theory.
  •  Applications will use data from disciplines including business, social sciences, psychology, life science, health science, and education.
  •  Select the appropriate technique for testing a hypothesis and interpret the result.
  •  Formulate hypothesis tests involving samples from one and two populations.
  •  Use linear regression and ANOVA analysis for estimating and inference and interpret the associated statistics.
  •  Identify the basic concept of hypothesis testing including Type I and Type II errors.
  •  Determine and interpret levels of statistical significance including p-values.
  •  Construct and interpret confidence intervals.
  •  Distinguish between sample and population statistics and analyze the role played by the Central Limit Theorem.
  •  Calculate probabilities using normal and t-distributions.
  •  Compute the mean and variance of a discrete distribution.
  •  Compute and interpret statistical measures of data sets of one and two variables including measures of central tendency and variation.
  •  Identify standard methods of obtaining data and identify advantages and disadvantages of each.
  •  Distinguish between different scales of measurement and their implications
  •  Use and interpret graphs representing data.

Student Learning Outcomes

As a result of successful completion of this course, a student will be able to:

  • Critically analyze statistical information presented in media, journals, etc.
  • Convert data to statistical evidence and interpret the evidence.

Required Course Materials and Technology

  • Device with access to the internet with the ability to submit assignments as a PDF or JPEG.
  • Basic Scientific Calculator

Course Navigation

Our textbook is an OpenStax book which can be found under the Modules tab in Canvas.  Weekly assignments are listed under the  Assignment tab in Canvas. The assignments for the sections covered one week will be due the following Thursday at 11:59pm. Monthly exams are listed under the Quizzes tab in Canvas.

 

 

 

 

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