stats

• DESCRIPTIVE


  collection, presentation, description of sample data;

  studies population - sample;

  does not require hypothesis
• INFERENTIAL


  interpreting values, drawing conclusiom about population;

  generalizes population;

  require hypothesis
• SAMPLING DISTRIBUTION


  theoretical distribution;

  if large, assume sample means to be normally distributed
• STANDARD ERROR


  different sample size = different sample statistics;

  assumes sample is with/without replacement
• CENTRAL LIMIT THEOREM


  successive random samples from single population;

  larger sample size = closer to normal curve
• CONFIDENCE INTERVAL


  determining - estimation;

  obtained from sample data proposed as value
• STATISTICAL HYPOTHESIS


  assumption about population parameter;

  null - no direct relationship/difference

  alternative - direct relationship/difference
• TYPE I ERROR (ALPHA)

  rejects null hypothesis when true;

  false positive
• TYPE II ERROR (BETA)


  fails to reject null hypothesis that is false;

  false negative