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| Section | Weight | Objectives |
|---|---|---|
| Basic Numeracy & Algebra | 15% | - Exponents, roots, and basic formulas - Linear equations, inequalities, graphing functions - Arithmetic operations, fractions, decimals, percentages |
| Descriptive Statistics | 25% | - Measures of center: mean, median, mode - Measures of spread: range, IQR, variance, standard deviation - Types of data: categorical, discrete, continuous - Graphical displays: histograms, boxplots, scatterplots |
| Correlation & Regression | 20% | - Predictions and limitations of regression - Correlation coefficient and interpretation - Interpreting slope, intercept, and R-squared - Simple linear regression models |
| Inferential Statistics & Study Design | 20% | - Observational studies vs experiments - Sampling methods and bias - Confidence intervals for means/proportions - Hypothesis testing framework and interpretation |
| Probability Concepts | 20% | - Probability rules, independent and dependent events - Conditional probability and Venn diagrams - Normal distribution and empirical rule - Discrete and continuous probability distributions |
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NEW QUESTION # 15
Correlation coefficient = #0.7. This indicates:
Answer: A
Explanation:
The correlation coefficient r measures the direction and strength of a linear relationship between two quantitative variables. Values of r range from #1 to 1. A negative value indicates that as one variable increases, the other variable tends to decrease. The value #0.7 is fairly close to #1, so it represents a strong negative linear relationship. It is not perfect, because perfect negative correlation would be r = #1, but it is clearly stronger than a weak association. Option B is incorrect because the sign is negative, not positive.
Option C is incorrect because no linear relationship would be represented by a correlation near 0. Option D is incorrect both in direction and strength. A scatterplot with r = #0.7 would generally show points trending downward from left to right, with some scatter around the trend. Study Guide references/topics: correlation coefficient, negative association, linear relationships, scatterplot interpretation.
NEW QUESTION # 16
Poisson mean = 4. Probability of exactly 2 events?
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