Glossary.

A/B Test

Background Confounder(s)

Assumptions of Statistical Tests

Centering Variables

Between Subjects Effects

Bell Curve

ANOVA (Analysis of Variance)

Chi-Square

Correlation

Confidence Interval

Dependent Variable

“Controlling” for

Descriptive Statistics

Direct Effect

Error Bars

Exploratory Factor Analysis

Effect Size

Grading on a Curve

Hypothesis Testing

Independent Variable

Histogram

Inferential Statistics

Indirect Effects

Independent Samples T-Test

Linear Regression

Logistic Regression

Mediation Analysis

Mediator

Measures of Central Tendency (Averages)

Missing Data

Moderator

Multiple Regression Analysis

Normal Distribution

P-Value

Partial Correlation

Outlier

Post-Hoc Analysis

Power Analysis

Quantitative Data

Qualitative Data

Repeated Measures ANOVA (Analysis of Variance)

Sample Size: How Big of a Sample Do I Need?

Significance Is Not Importance

Standard Error and Standard Deviation

Statistical Power

Statistical Significance: Factors That Influence It

Statistical Significance Is Reliability

The 95% Confidence Interval

Type I Errors

Type II Errors

Within Subjects Effects

Z-Scores

Variable (Factor)

Variability

Socially Desirable Responding

Serviceable Available Market (SAM)

Sales Operations KPIs

Software as a Service (SaaS)

Sales Development Representative (SDR)

B2B Sales Acceleration: Proven Strategies to Shorten Your Sales Cycle

Revenue Operations KPIs

Psychographics In Marketing

Purchase Buying Stage

Persona Map

Generic Keywords

Dark Funnel

Business Development Representative

B2B Marketing KPIs

B2B Marketing Attribution

B2B Buying Signals

Guide to AI Lead Scoring to Improve Sales and Marketing Alignment

Account Mapping: Definition & FAQs

6sense Qualified Account (6QA)

6sense Account In-Market Stage