Non-parametric Tests

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NONPARAMETRIC STATISTICAL TESTS are used to test hypothesis about population parameters when the assumption about normality cannot be met.
Sign Test- Non-parametric version of one-sample t test.
Wilcoxon Rank Sum Test- Non-parametric equivalent to the independent t test.
Wilcoxon Rank Sum Test- Also called the Mann-Whitney Test or Mann-Whitney U test.

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Non-parametric Tests

Cards (4)

4.5 Non-Parametric Tests

5.5 Using the Second Derivative Test for Relative Extrema

Applying the Second Derivative Test:

9.2 Second Derivatives of Parametric Equations

2.1 Reading Non-Fiction and Literary Non-Fiction Texts

2.1 Reading Non-Fiction and Literary Non-Fiction Texts

4.4 Chi-Squared Tests

5.4 Using the First Derivative Test for Relative Extrema

5.4 Using the First Derivative Test for Relative Extrema

2.1 Reading and Understanding Non-Fiction Texts

5.5 Using the Second Derivative Test for Relative Extrema

1.2 Writing Non-Fiction Texts

1.1 Reading Non-Fiction Texts

1.2 Notes and Rests

2.5 Newton's Second Law

2.1.1 Analysis of Set Texts

3.1.1 Core set texts: Shakespeare

1A.3 The Second Crusade

BB Conflict and tension: The inter-war years, 1918–1939

3.5.8 Contestable and non-contestable markets

10.3.1 Types of Non-Verbal Communication