# Statistics Guide

January 14, 2018 | Author: Anonymous | Category: Math, Statistics And Probability, Statistics

#### Description

Slide 2

What do you want to do?

Description

Evaluate Differences

Examine Relationships

Purpose of the Evaluation--Description

Description

Individuals

Samples

Populations

Describe Individuals

What level of Measurement

Nominal

Ordinal

Scale

Category of Membership

Rank Order

Percentiles, z scores

Description of Samples What Level of Measurement

Nominal

Percentages or Proportions, Mode

Scale

Central Tendency

Mean, Median

Data Variability

Range, Variance, Standard Deviation

Description of Populations

What Level of Measurement?

Nominal

Scale

Confidence Interval for Proportions

Confidence interval for the mean

Purpose of the Analysis: Evaluate Differences

How many samples?

One

Two

Three or more

Purpose of the Analysis – Evaluate differences

Evaluate Differences

One Sample

Two Samples

Three or more Samples

Purpose of the Analysis – Evaluate differences for One Sample

Evaluate Differences (One Sample)

For nominal data: Data: Chi Square Goodness of Fit

For scale data: One-sample t test

Purpose of the Analysis – Evaluate Differences for Two Samples

Evaluate Differences (Two Samples)

Independent Samples?

Dependent or Correlated Samples?

Difference Between Two Independent Samples

Level of Measurement

Nominal

Chi-square test

Ordinal

Scale

Mann-Whitney U

Independent Samples t test

Difference Between Two DEependent Samples

Level of Measurement

Ordinal

Scale

Wilcoxon T test

Dependent Samples t test

Three or More Samples How many variables?

Two or More

One

Dependent Samples

Independent Samples

For Ordinal Data: Kruskal-Wallis One-way ANOVA

For Scale Data: ANOVA

One-Way ANOVA

Independent Samples

Factorial ANOVA

Purpose of the Analysis—Examine Relationships

Examine Relationships

Nominal Data

Ordinal Data

Scale

Chi-Square Test of Association

Spearman RankOrder Correlation

Pearson Product Moment Correlation

Mixed Data

Examine Relationships: Mixed Data Types What type of mixed data? Nominal and Ordinal

Two Categories

For Independent Sample: MannWhitney U Test. For Dependent Samples: Wilcoxon T Test

Nominal and Scale Three or More Categories

Kruskal-Wallis One-Way ANOVA

Independent Samples t test; Dependent Samples t test

Ordinal and Scale

For Independent Samples: One-Way ANOVA or Factorial ANOVA For Dependent Samples: RepeatedMeasures ANOVA