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Arithmetic Mean
The sum of data values divided by the count of values.
Median
The middle number when data is ordered from least to greatest.
Mode
The value that appears most frequently in a dataset.
Weighted Average
Calculated by multiplying each value by its weight, summing them, and dividing by the total weight.
Range
The difference between the maximum and minimum values in a dataset.
Standard Deviation
A measure of how much values deviate from the mean; higher values indicate more spread.
Outlier
A data point significantly higher or lower than the rest of the data.
Random Sampling
A method where every member of the population has an equal chance of being selected.
Population
The entire group you want to know about, such as all high school students in the US.
Sample
A subset of the population that you actually survey.
Positive Correlation
As one variable increases, the other variable tends to increase.
Negative Correlation
As one variable increases, the other variable tends to decrease.
No Correlation
No predictable pattern exists between the two variables.
Correlation Coefficient (r)
A measurement indicating the strength and direction of a correlation, ranging from -1 to 1.
Linear Regression
A method to predict the value of one variable based on another variable via a linear equation.
Slope (m)
The predicted change in the dependent variable for every one unit increase in the independent variable.
Y-intercept (b)
The predicted value of the dependent variable when the independent variable is zero.
Basic Probability Formula
P(E) = Number of Favorable Outcomes / Total Number of Possible Outcomes.
Independent Events
Events where the outcome of one does not affect the outcome of the other.
Mutually Exclusive Events
Events that cannot occur at the same time.
Empirical Rule
In a normal distribution, 68% of data falls within 1 SD, 95% within 2 SDs, and 99.7% within 3 SDs.
Normal Distribution
A symmetric distribution where the mean, median, and mode are all equal.
Double Counting in Probability
Mistake made when adding probabilities for 'OR' events without subtracting overlapping probabilities.
Geometric Probability
Probability based on the size of a region in relation to the total area.
Bivariate Data
Data that involves two different variables.
Bias in Surveys
Systematic errors that favor certain outcomes in data collection.
Sample Space
The total number of possible outcomes in a probability event.
Quadratic Transformation
A relationship modeled as a quadratic function, typically represented as y = ax^2 + bx + c.