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Probability Basics
$200The likelihood that a specific event will occur, expressed as a number between 0 and 1.
$400A set of all possible outcomes for a random experiment.
$600Events that cannot happen at the same time are known by this descriptor.
$800This theorem describes the probability of an event based on prior knowledge of conditions.
$1000A distribution where all outcomes have the same chance of occurring.
Data Summarization
$200The arithmetic average of a dataset calculated by summing all values and dividing by the count.
$400The middle value in a sorted list of numbers.
$600The most frequently occurring value in a data set.
$800This value represents the difference between the maximum and minimum in a set.
$1000A measure of the dispersion of a set of values relative to their mean.
Hypothesis Testing
$200The statement assumed to be true until evidence suggests otherwise.
$400The error of rejecting a true null hypothesis.
$600This value represents the probability of obtaining results at least as extreme as the observed results.
$800A predetermined threshold used to determine if a result is statistically significant.
$1000The failure to reject a false null hypothesis.
Regression Analysis
$200A visual tool showing the relationship between two quantitative variables.
$400This coefficient measures the strength and direction of a linear relationship.
$600The variable that is being predicted or explained in a regression model.
$800The vertical distance between an observed data point and the fitted regression line.
$1000This statistic represents the proportion of variance for a dependent variable explained by independent variables.
Sampling Methods
$200Choosing participants entirely by chance where everyone has an equal probability of selection.
$400Dividing a population into subgroups and then selecting from each to ensure representation.
$600Selecting every nth individual from a list.
$800Selecting groups or clusters of individuals rather than individuals themselves.
$1000Choosing a sample based on ease of access or proximity.
Famous Statisticians
$200This English statistician is considered the father of modern statistics.
$400He developed the system of normal distribution and correlation.
$600She was a pioneering statistician and nurse who championed data visualization.
$800This mathematician formulated the law of large numbers.
$1000He is credited with the development of the Chi-squared test.