Possible Topics on the First STA 102 Exam

bold marks the topics that you better know or I will personally be offended.

• *Measures of location (mean, median, mode, geometric mean)
• *Skewness
• *Variance and Standard Deviation
• Coefficient of Variation (CV)
• Frequency Distribution
• Bar Graphs
• *Histograms
• Stem-and-leaf plots
• *Box plots
• *Probability
  • Independence vs. Dependence
  • Multiplication Law
  • Addition Law
  • Conditional Probability
  • Relative Risk
  • Bayes' Rule (formula in terms of sensitivity, pv+ and so on will NO LONGER be provided)
  • Total Probability Law
• PV+, PV-, sensitivity, specificity
• *false-negative, false-positive
• (no ROC curves on the exam)
• *prevalence, incidence
• *Expected Value & Variance of Discrete Random Variables
• *Permutations
• *Combinations
• *Binomial Distribution + its Normal Approx
• *Poisson Distribution + its Normal Approx
• *Know when to use Binom vs. Poisson, and when Normal Approx. can be used.
• Factors determining shape of Normal and Poisson Distributions
• Properties of the Normal Distribution
• *Normal Distribution: percentile & probabilities
• Basic notion of Correlation (see and understand Figure 5.16)
• *Central Limit Theorem
• Randomized Clinical Trials
• *Estimation of mean of a distribution
• *Standard error of the mean (se) vs. Standard Deviation (sd) of individual observations
• *t-distribution
• *Confidence Intervals for a mean - when to use t vs. normal
• *point estimation and se of binomial parameter p
• *normal approximation for CI of p.