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Advanced Placement (AP) Statistics (also known as AP Stats) is a college-level high school statistics course offered in the United States through the College Board's Advanced Placement program. This course is equivalent to a one semester, non- calculus -based introductory college statistics course and is normally offered to sophomores , juniors ...
In statistics and uncertainty analysis, the Welch–Satterthwaite equation is used to calculate an approximation to the effective degrees of freedom of a linear combination of independent sample variances, also known as the pooled degrees of freedom, [1] [2] corresponding to the pooled variance.
Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1]The choice of the test depends on many properties of the research question.
The free response section is hand-graded by hundreds of AP teachers and professors each June. [27] The raw score is then added to the adjusted multiple choice score to receive a composite score. This total is compared to a composite-score scale for that year's exam and converted into an AP score of 1 to 5.
In statistics, an ogive, also known as a cumulative frequency polygon, can refer to one of two things: any hand-drawn graphic of a cumulative distribution function [1] any empirical cumulative distribution function.
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Likelihood function – Function related to statistics and probability theory; List of probability distributions; Probability amplitude – Complex number whose squared absolute value is a probability; Probability mass function – Discrete-variable probability distribution; Secondary measure; Uses as position probability density:
Cumulative distribution function for the exponential distribution Cumulative distribution function for the normal distribution. In probability theory and statistics, the cumulative distribution function (CDF) of a real-valued random variable, or just distribution function of , evaluated at , is the probability that will take a value less than or equal to .