Statistical Data Analysis

From the study guide

Course Outline

  1. Populations and Variable Types
  2. Descriptive Statistics and Dispersion
  3. Random Variables and Distributions
  4. Normal Distributions and Z-Scores
  5. Confidence Intervals and Proportions
  6. Means and Student t-Intervals
  7. Hypothesis Tests and Errors
  8. Comparing Two Means

1. Populations and Variable Types

Key Concepts & Definitions

  • Population: Set of individuals or objects being studied.
  • Sample: Subset of the population.
  • Statistical variable: Characteristic or property of interest of a population.

★ Must-know

📌 Variables are categorical (nominal or ordinal) or numerical, with numerical variables classified as discrete or continuous.

Further detail

📌 A discrete numerical variable has a finite or countably infinite range, whereas a continuous variable is modeled as having an uncountable range.

Memory Hook

A population is the full group; a sample is only a subset.

2. Descriptive Statistics and Dispersion

Key Concepts & Definitions

Read the full study guide →

Practice quiz preview

1. A researcher is studying the heights of students at a university. What is the population in this study?

2. A survey measures the commuting times of 200 employees chosen from a company of 3,000 employees. What are the 200 chosen employees?

3. In a study of household electricity use, what is the statistical variable if the researcher records each household’s monthly consumption?

Take the quiz (25 questions) →

Flashcard preview

What is a population in statistics?

The set of individuals or objects being studied.

What is a sample in statistics?

A subset of the population.

What is a statistical variable?

A characteristic or property of interest of a population.

How are statistical variables broadly classified?

As categorical or numerical.

What are the two types of categorical variables?

Nominal and ordinal.

How are numerical variables further classified?

As discrete or continuous.

See all 54 flashcards →

Frequently asked questions

What does the Statistical Data Analysis study guide cover?

It covers the core concepts of Statistical Data Analysis, organized by topic with the key definitions, explanations and takeaways, so it's easier to learn and remember.

Read the full study guide →

How many questions are in the Statistical Data Analysis quiz?

The practice quiz has 25 multiple-choice questions, each with an explanation. Use it to check what you know and find your gaps.

Take the quiz (25 questions) →

How do I study Statistical Data Analysis with flashcards?

There are 54 flashcards on Statistical Data Analysis, with a question on the front and the answer on the back. Try to recall each answer before you flip, and let spaced repetition bring back the ones you miss.

See all 54 flashcards →

Related classes

Turn your own class notes into a study guide

Upload a PDF or paste your notes. Revizly writes a study guide, a practice quiz and flashcards in about a minute.