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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
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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
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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
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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
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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
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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
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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