CE

Statistics Exam Review

General Review Points

  • Final exam review is upcoming; important to prepare by reviewing materials.

Key Statistical Concepts

  • Correlation Coefficient: Understand the calculation using the formula:
    r = \frac{\sum (xi - \bar{x})(yi - \bar{y})}{\sqrt{\sum (xi - \bar{x})^2 \sum (yi - \bar{y})^2}}

    • Summation of products and squares is essential.
  • R-Hat Equation: The line of best fit model described by:
    \hat{y} = b1x + b0

    • Here,
      • b_1 is the slope:
      • b0 is the y-intercept calculated as: b0 = \bar{y} - b_1 \bar{x} .
  • Standard Deviation: Measure of data variability, calculated as:
    s = \sqrt{\frac{\sum (x_i - \bar{x})^2}{n - 1}}

Probability Concepts

  • Permutations vs Combinations:
    • Use permutations when order matters:
      P(n, r) = \frac{n!}{(n-r)!} - e.g., arranging 15 items taken 3 at a time.
    • Use combinations when order does not matter:
      C(n, r) = \frac{n!}{r!(n-r)!}
    • e.g., selecting 10 from 5.

Probability Basics

  • The sum of probabilities should equal one; investigate anomalies if the sum exceeds or falls short of this threshold.
  • To calculate combined probabilities:
    • For "AND" scenarios, multiply individual probabilities.
    • For "OR" scenarios, add individual probabilities and subtract overlaps if necessary:
    • P(A \cup B) = P(A) + P(B) - P(A \cap B)

Examples of Computations

  • Expected Value:
    E(X) = \sum (xi \cdot p(xi))
    where xi is outcome, and p(xi) is corresponding probability.

  • Variance Calculation:
    \sigma^2 = \sum (xi - \mu)^2 \cdot p(xi)

    • Variance must consider differences from mean.
  • Binomial Distribution:
    To find P(x = k) in a binomial:
    P(X = k) = C(n, k) p^k(1-p)^{n-k}
    where C(n, k) represents combinations, and p denotes success probability.

Preparing for the Exam

  • Usage of Calculator: Familiarize with needed functions (binomial calculations).
  • Exam Format: Expect multiple-choice questions, focus on showing workings where applicable.
    • Practice by solving previous problems and example distributions.
  • Time Management: Allocate time for each question, avoid spending too long on challenging queries.

Review Strategies

  • Create study groups to discuss concepts.
  • Utilize office hours for clarification on topics.
  • Ensure comfort with statistical tables and calculator functions before the exam.