The ___________ informs us that the shape of a sampling distribution drawn from

Question

The ___________ informs us that the shape of a sampling distribution drawn from a population will be increasingly normal in form as the sample size increases, even if the population distribution is , itself, not normal.   

Using one of the terms below.

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

Central limit theorem.   

Related Questions

Navigate

• Browse (All)
• Browse T
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.