Preços Iniciar Sessão Cadastre-se

Categorias: Todos - variables - tests - correlation - regression

por nurshahilin amira 6 anos atrás

214

my biostatistic mind map

The text provides a structured overview of various statistical tests used to analyze data. It categorizes the tests into parametric and non-parametric types, depending on the data's characteristics and the assumptions required.

Mais informações

Monte Carlo Analysis in Corporate Finance

por Carlos Bellon

Polynomials and Equations

por Razia Irfan

GameWorld

por Gary Sibbitts

Data Science 52 weeks

por Mykola Manko

5.

Used in statistics to summarize the relationship between several categorical variables

Chi-Square Test of Contigencies

4.

To determine whether observed sample frequencies differ significantly from expected frequencies specified in the null hypothesis

Chi-Square Test (Goodness of Fit)

3.

my biostatistic mind map

The text provides a structured overview of various statistical tests used to analyze data. It categorizes the tests into parametric and non-parametric types, depending on the data's characteristics and the assumptions required.

Monte Carlo Analysis in Corporate Finance

Polynomials and Equations

GameWorld

Data Science 52 weeks

5.

Used in statistics to summarize the relationship between several categorical variables

Chi-Square Test of Contigencies

4.

To determine whether observed sample frequencies differ significantly from expected frequencies specified in the null hypothesis

Chi-Square Test (Goodness of Fit)

3.

Predict/Estimate

Simple Linear Regression

2.

Correlation/Associate/Relationship

Pearson Correlation

Spearman Correlation

1. Between Sample

More than 3 Independent Sample

One Way ANOVA

Kruskal Wallis

Two Sample(Paired)

Paired T-Test

Wilcoxon Signed Rank Test

Independent T-Test

Mann-Whitney U Test

One Sample(Unpaired)

One Sample T-Test

One Sample Wilcoxon Signed Rank Test

STATISTICAL TEST

NON-PARAMETRIC TEST

PARAMETRIC TEST

Mindomo

Mais Informações

Perguntas frequentes

my biostatistic mind map

The text provides a structured overview of various statistical tests used to analyze data. It categorizes the tests into parametric and non-parametric types, depending on the data's characteristics and the assumptions required.

Monte Carlo Analysis in Corporate Finance

Polynomials and Equations

GameWorld

Data Science 52 weeks

5.

Used in statistics to summarize the relationship between several categorical variables

Chi-Square Test of Contigencies

4.

To determine whether observed sample frequencies differ significantly from expected frequencies specified in the null hypothesis

Chi-Square Test (Goodness of Fit)

3.

Predict/Estimate

Simple Linear Regression

2.

Correlation/Associate/Relationship

Pearson Correlation

Spearman Correlation

1. Between Sample

More than 3 Independent Sample

One Way ANOVA

Kruskal Wallis

Two Sample(Paired)

Paired T-Test

Wilcoxon Signed Rank Test

Independent T-Test

Mann-Whitney U Test

One Sample(Unpaired)

One Sample T-Test

One Sample Wilcoxon Signed Rank Test

STATISTICAL TEST

NON-PARAMETRIC TEST

PARAMETRIC TEST

Espalhe a idéia Mindomo

Mindomo

Mais Informações

Perguntas frequentes