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Descriptive and Inferential Statistics

67 resources created by 66 users

Descriptive and Inferential Statistics on GoConqr brings together quizzes, mind maps, flashcards, notes and flowcharts on topics from populations and samples to data types and charts. University students can practice key terms and teachers can find ready-made material. The page has over 60 resources, including over 30 mind maps, with mostly university-level material and some secondary-level resources. Pick a resource and start exploring the topic.

Descriptive and Inferential Statistics

Top Descriptive and Inferential Statistics resources

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More Introduction to Statistics topics

About Descriptive and Inferential Statistics

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Start with the distinction

This page brings together user-made resources on descriptive and inferential statistics. A mind map titled Statistics contrasts organizing and presenting sample data with drawing conclusions about populations from sample information. It also introduces populations and samples, making it a useful starting point for the vocabulary that appears elsewhere on the page.

Read the map once for the overall distinction, then look again at how it connects sample data and populations. You can use those connections as a guide when working through the flashcards and quiz.

Build the vocabulary

The introductory flashcard decks cover terms such as population, sample, parameter, statistic and variable. One deck also includes quantitative and qualitative data, along with nominal, ordinal and interval data. Another introduces descriptive and inferential statistics alongside estimation and hypothesis testing.

Start with population and sample, then move on to parameter and statistic. A separate mind map describes a statistic as a number that describes a sample and a parameter as a number that describes a population. Compare that explanation with the flashcards as you study the terms.

Use a quiz and map together

The introductory statistics quiz asks about collecting, organizing, summarizing and analyzing data. It also covers variables and values. Try it after the initial mind map and flashcards, then return to the map to check how the ideas fit together.

If you want to explore how data can be presented, a flashcard deck on the page includes scatter plots, bar charts, histograms and frequency distributions. Use it alongside the earlier resources to connect vocabulary with the forms of presentation listed here.

Explore the unit

Descriptive and Inferential Statistics is a section of Introduction to Statistics in Statistics and probability. The resources on this page offer different routes through its terms: maps for connections, flashcards for vocabulary and quizzes for practice. Choose a format that fits where you want to begin.

Frequently asked questions

Where should I start on this page?

A mind map titled Statistics is a useful starting point. It contrasts descriptive and inferential statistics and introduces populations and samples. Follow it with an introductory flashcard deck to practice terms such as parameter and variable, then try the introductory statistics quiz on data and variables.

What do the mind maps cover?

The page has over 30 mind maps. Among them, a Statistics map connects descriptive statistics with the presentation of sample data and inferential statistics with conclusions about populations. Another map distinguishes a statistic describing a sample from a parameter describing a population. The page also lists maps on statistics vocabulary.

Are these resources free to use?

Yes. Every resource listed on this page is free to open, study and take without an account. A free account can also save your quiz scores and let you make your own quizzes, mind maps, flashcards and notes. The listed resources were made by GoConqr users, not by GoConqr.

Who are these resources for?

The page is mainly suited to university students studying introductory statistics, and teachers can use it to find ready-made material. There are also some secondary-level resources. The listed materials cover introductory terms, including populations, samples, variables and data types, as well as ways of presenting data.

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