10-804-189Introductory Statistics
Course Information
Description
Students taking Introductory Statistics display data with graphs, describe distributions with numbers, perform correlation and regression analyses, and design experiments. They use probability and distributions to make predictions, estimate parameters, and test hypotheses. They draw inferences about relationships including ANOVA.
Total Credits
3
Course Competencies
  1. Organize data
    Assessment Strategies
    Oral, Written or Graphic Assessment
    Criteria
    construct frequency distributions
    construct histograms
    construct stem and leaf diagrams
    construct pie charts
    construct box plots
    construct line graphs
    construct bar graphs
    graphs have the professional attributes of the class examples
    graphs accurately represent the data

  2. Summarize data numerically
    Assessment Strategies
    Oral, Written or Graphic Assessment
    Criteria
    determine measures of central tendency
    interpret measures of central tendency
    determine measures of spread
    interpret measures of spread
    determine measures of relative position (quartiles, percentiles)
    interpret measures of relative position

  3. Use probability distributions
    Assessment Strategies
    Oral, Written or Graphic Assessment
    Criteria
    distinguish between theoretical and empirical probabilities
    create a probability distribution from observational data
    calculate theoretical probabilities of events
    evaluate the parameters of a probability distribution
    apply the normal distribution to solve problems
    apply Central Limit Theorem

  4. Investigate study design
    Assessment Strategies
    Oral, Written or Graphic Assessment
    Criteria
    distinguish between experimental and observational studies
    locate sources of data
    identify sampling techniques
    critique the validity of the analysis
    identify sources of bias

  5. Draw inference about population parameters from sample data from one population
    Assessment Strategies
    Oral, Written or Graphic Assessment
    Criteria
    choose appropriate procedure to construct a confidence interval for the population mean
    choose appropriate procedure to construct a confidence interval for the population proportion
    interpret confidence intervals
    analyze the role of sample size
    distinguish between random and non-random samples
    perform hypothesis test on a single population parameter

  6. Draw inference about population parameters from sample data from two or more populations
    Assessment Strategies
    Oral, Written or Graphic Assessment
    Criteria
    choose appropriate procedure to construct a confidence interval for the difference of population means
    chose appropriate procedure to construct a confidence interval for the difference of population proportions
    distinguish between independent random samples and matched pairs
    interpret confidence intervals
    analyze the role of sample size
    perform hypothesis test on a parameter from two populations
    perform hypothesis test on a parameter from more than two populations (F distribution, ANOVA)
    perform a chi square test

  7. Evaluate correlation and linear regression in bi-variate data
    Assessment Strategies
    Oral, Written or Graphic Assessment
    Criteria
    create a scatter plot of bi-variate data
    calculate the correlation coefficient
    interpret the correlation coefficient
    construct the best fit regression line
    use the best fit line to make predictions
    use the best fit line to solve applied problems
    interpret relationships between variables