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| Section | Weight | Objectives |
|---|---|---|
| Correlation & Regression | 20% | - Predictions and limitations of regression - Interpreting slope, intercept, and R-squared - Correlation coefficient and interpretation - Simple linear regression models |
| Probability Concepts | 20% | - Probability rules, independent and dependent events - Normal distribution and empirical rule - Conditional probability and Venn diagrams - Discrete and continuous probability distributions |
| Inferential Statistics & Study Design | 20% | - Hypothesis testing framework and interpretation - Sampling methods and bias - Confidence intervals for means/proportions - Observational studies vs experiments |
| Descriptive Statistics | 25% | - Measures of center: mean, median, mode - Types of data: categorical, discrete, continuous - Graphical displays: histograms, boxplots, scatterplots - Measures of spread: range, IQR, variance, standard deviation |
| Basic Numeracy & Algebra | 15% | - Arithmetic operations, fractions, decimals, percentages - Linear equations, inequalities, graphing functions - Exponents, roots, and basic formulas |
If y = #4, evaluate the following expression:
(20 # y)/(5 + y)
Correct Answer: B 🗳️
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68-95-99.7 rule: % within 1 SD?
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A team of scientists wants to understand the relationship between smoking and lung cancer. They collect data from 1,000 individuals, recording their smoking habits and whether they have been diagnosed with lung cancer. The scientists then analyze the data to find any correlations.
Is this study observational or experimental?
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Regression slope indicates:
Correct Answer: A 🗳️
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Central limit theorem applies when:
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