Lecture 23: Thu, Dec 5

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Lecture 23 Thu, Dec 5

• Announcements
• Old HWs, exams pick up 414-1 JMHH
• Practice Exam posted
• Office hours MW 130 to 5pm
• Today
• Final Exam Review
• Course Evaluations

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Exam Details

• Date Dec 18, 4-6pm, Room 110 Annenberg School
• Coverage Chapters 1 - 10
• Cheat Sheets 2 double-sided 8.5x11 sheets
• 5 to 6 problems
• Emphasis on Chapters 8-10 (30 to 40)
• True-False and/or multiple choice -- Possible

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Tips on Preparing for Final

• Lecture Notes
• Textbook
• Homework exercises
• Problems in back of chapters
• Problems worked in class
• Practice exam (do last, without solutions!)

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Overview

• Part 1 Descriptive Statistics
• Part 2 Probability
• Part 3 Sampling Distributions Inference

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Part 1 Descriptive Statistics

• Pie chart, bar chart, histogram, ogive, boxplot,
  stem-and-leaf, scatterplot
• Mean, variance, SD, covariance, correlation,
  least squares regression line, quantile, median,
  quartile, IQR, range, empirical rule, Chebyshevs
  theorem, range rule.
• Effects of shifting, scaling.

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Part 2 -- Probability

• Sample space, events, types of probabilities,
  probability trees
• Multiplication rule, addition rule, law of total
  probability, conditional probability (Bayes
  theorem), mutually exclusive, independence.
• Marginal, conditional, joint distribution.

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Random Variables

• Discrete, continuous. Marginal, joint
  distributions, independence.
• Expected value, variance, SD, covariance,
  correlation, probabilities, cumulative
  probability.
• General discrete, binomial, Poisson General
  continuous densities, normal, uniform,
  exponential.
• Poisson process. Poisson approx to binomial.
  Normal approx to binomial.

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Part 3 - Sampling distributions

• Central limit theorem
• Sampling distribution of a mean/sum/ proportion,
  difference between two means/sums/proportions
• Inference based on sampling distributions.

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Inference

• Point estimation. Consistency, unbiasedness,
  efficiency.
• Interval estimation of the mean (confidence
  intervals).
• Selecting a sample size.