Using one of the terms in teh screenshot. A(n)_____________ Is formed by making

Question

Using one of the terms in teh screenshot.

A(n)_____________ Is formed by making a distribution of the computations (e.g. mean, median, SD etc.) of a large number of equally sized samples drawn from a population.

Alphabetical List of Terms Addition Rule Alpha Level Parameters Poisson Distribution Polygon Pooled Variance Population Positive Predictive Value Posterior Probability Prior Probability Arithmetic Mean V -- Bayes Theorem (Rule) Bin Width Binary Variable Box plot Central Limit Theorem Quadratic Mean (RMS) Central Tendency Coded Table Ratio Scale Re-expressiorn Residuals Resistance Revelation Rival Hypothesis Conditional Probability Confidence Interval This Page Can be Removed Contingency Table Degrees of Freedom Depth of a number Event Exploratory Data Analysis Sample Sample Space sampling Distribution Satterthwaite Adjustment Five-Line Display Sensitivity Side-by-Side Stem-and-Leaf Specificity Glyph Harmonic Mean Heterogeneous Variance Histogram Homogeneous Variance Hypothesis Testing Spread Standard Deviation Standard Error Standard Error f the Mean Standard Error for the Difference of Means Standard Normal Curve Standard Normal Deviate Statistics Stem-and-Leaf Diagram Student's t-Test for Independent Interval Scale Law of Large Numbers Letter Value Display Location Lower Hinge Samples Student's t-Test for Related Samples Mann-Whitney U Test Median Multiplication Rule Negative Predictive Value Nominal Scale Non-Parametric (Rank Sum) Tests Normal Distribution t Distribution T-Scores Transformation Trimming Tukey Trimean Two-Line Summary Two-tail test Upper Hinge One Sample t test One Sample z test One-Line Summary One-tail test Ordinal Scale Outlier Variability Weighted Arithmetic Mean Wilcoxon Signed Ranks Test z Score

Explanation / Answer

A sampling distribution Is formed by making a distribution of the computations (e.g. mean, median, SD etc.) of a large number of equally sized samples drawn from a population

The sampling distribution of a statistic is the distribution of that statistic, considered as a random variable, when derived from a random sample of size n.

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