Statistics Guide

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

Slide 2

What do you want to do?

Description

Evaluate Differences

Examine Relationships

Return to Slide 2

Purpose of the Evaluation--Description

Description

Individuals

Samples

Populations

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Describe Individuals

What level of Measurement

Nominal

Ordinal

Scale

Category of Membership

Rank Order

Percentiles, z scores

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Description of Samples What Level of Measurement

Nominal

Percentages or Proportions, Mode

Scale

Central Tendency

Mean, Median

Data Variability

Range, Variance, Standard Deviation

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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

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Purpose of the Analysis – Evaluate differences

Evaluate Differences

One Sample

Two Samples

Three or more Samples

Return to Slide 8

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

Return to Slide 8

Purpose of the Analysis – Evaluate Differences for Two Samples

Evaluate Differences (Two Samples)

Independent Samples?

Dependent or Correlated Samples?

Return to Slide 10

Difference Between Two Independent Samples

Level of Measurement

Nominal

Chi-square test

Ordinal

Scale

Mann-Whitney U

Independent Samples t test

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Difference Between Two DEependent Samples

Level of Measurement

Ordinal

Scale

Wilcoxon T test

Dependent Samples t test

Return to slide 8

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

Return to Slide 2

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

Return to Slide 14

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

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