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| Section | Weight | Objectives |
|---|---|---|
| Correlation & Regression | 20% | - Correlation coefficient and interpretation - Interpreting slope, intercept, and R-squared - Predictions and limitations of regression - Simple linear regression models |
| Probability Concepts | 20% | - Discrete and continuous probability distributions - Normal distribution and empirical rule - Probability rules, independent and dependent events - Conditional probability and Venn diagrams |
| Basic Numeracy & Algebra | 15% | - Exponents, roots, and basic formulas - Linear equations, inequalities, graphing functions - Arithmetic operations, fractions, decimals, percentages |
| Inferential Statistics & Study Design | 20% | - Hypothesis testing framework and interpretation - Confidence intervals for means/proportions - Observational studies vs experiments - Sampling methods and bias |
| Descriptive Statistics | 25% | - Types of data: categorical, discrete, continuous - Measures of spread: range, IQR, variance, standard deviation - Graphical displays: histograms, boxplots, scatterplots - Measures of center: mean, median, mode |
1. Probability of rolling sum = 2 on 2 dice = ?
A) 1/6
B) 1/36
C) 2/36
D) 1/12
2. Variance of Poisson # = 5 = ?
A) 1
B) 5
C) 0
D) 4
3. Sample mean = 60; point estimate of population mean = ?
A) 50
B) 60
C) Unknown
D) 0
4. A home inspector finds 3% of the homes in a community infected with termites.
How should the home inspector's findings be interpreted?
A) It is as likely as unlikely that a home in the community is infected with termites.
B) It is unlikely that a home in the community is infected with termites.
C) It is likely that a home in the community is infected with termites.
D) It is impossible that a home in the community is infected with termites.
5. Uniform distribution 0-5: P(X < 3) = ?
A) 0.4
B) 0.3
C) 0.6
D) 0.5
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: C |
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