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Statistics and probability

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Learn statistics and probability—everything you'd want to know about descriptive and inferential statistics.

From Khan Academy
Hours 32
Language English
Subjects Mathematics Data Science

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Vital Statistics Clerk $38k

Adjunct Instructor, Mathematics and Statistics $44k

Coordinator NAEP-Howard Statistics and Evaluation Institute $46k

Data Analytics (Statistics) $47k

Medical Coder (Public Health Statistics) 2 $51k

Bank Structure Analyst, Statistics and Reserve Accounts $66k

Adjunct Professor - Statistics and Research Methods $69k

Data Scientist/Statistics - Applied Technology $83k

Senior Subscriber Statistics Analyst $84k

Assistant Professor, Experimental Design and Inferential Statistics $102k

Assistant Professor of Mathematics and Statistics $111k

Kay Sugahara Professor of Social Sciences and Statistics $128k

Courses in this Topic

Listed in the order in which they should be taken

Starts Course Information

On Demand

Analyzing categorical data (You were viewing this course)

This unit covers methods for dealing with data that falls into categories. Learn how to use bar graphs, Venn diagrams, and two-way tables to see patterns and relationships in...

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Displaying and comparing quantitative data

This unit covers some basic methods for graphing distributions of quantitative data like dot plots, histograms, and stem and leaf plots. We'll also explore how to use those...

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Summarizing quantitative data

This unit covers common measures of center like mean and median. We'll also learn to measure spread or variability with standard deviation and interquartile range, and use these...

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Modeling data distributions

This unit takes our understanding of distributions to the next level. We'll measure the position of data within a distribution using percentiles and z-scores, we'll learn what...

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Exploring bivariate numerical data

We use scatter plots to explore the relationship between two quantitative variables, and we use regression to model the relationship and make predictions. This unit explores...

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Study design

Statistics is all about forming questions and gathering data to explore those questions. This unit covers sampling and survey methods, observational studies, and basic experiment...

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Probability

Probability tells us how often some event will happen after many repeated trials. This topic covers theoretical, experimental, compound probability, permutations, combinations,...

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Counting, permutations, and combinations

This unit covers methods for counting how many possible outcomes there are in various situations. We'll learn about factorial, permutations, and combinations. We'll also look at...

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Random variables

Random variables can be any outcomes from some chance process, like how many heads will occur in a series of 20 flips. We calculate probabilities of random variables and calculate...

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Sampling distributions

A sampling distribution shows every possible result a statistic can take in every possible sample from a population and how often each result happens. This topic covers how sample...

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Confidence intervals

Confidence intervals give us a range of plausible values for some unknown value based on results from a sample. This topic covers confidence intervals for means and...

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Significance tests (hypothesis testing)

Significance tests give us a formal process for using sample data to evaluate the likelihood of some claim about a population value. We calculate p-values to see how likely a...

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Two-sample inference for the difference between groups

Learn how to apply what you know about confidence intervals and significance tests to situations that involve comparing two samples to see if there is a significant difference...

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Inference for categorical data (chi-square tests)

Chi-square tests are a family of significance tests that give us ways to test hypotheses about distributions of categorical data. This topic covers goodness-of-fit tests to see if...

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Advanced regression (inference and transforming)

Advanced regression will introduce you to regression methods when data has a nonlinear pattern.This course contains 2 segments:Inference about slopeWe'll make confidence...

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Analysis of variance (ANOVA)

Analysis of variance, also called ANOVA, is a collection of methods for comparing multiple means across different groups.This course contains 1 segments:Analysis of variance...

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Khan Academy

From Khan Academy
Hours 32
Language English
Subjects Mathematics Data Science

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

Vital Statistics Clerk $38k

Adjunct Instructor, Mathematics and Statistics $44k

Coordinator NAEP-Howard Statistics and Evaluation Institute $46k

Data Analytics (Statistics) $47k

Medical Coder (Public Health Statistics) 2 $51k

Bank Structure Analyst, Statistics and Reserve Accounts $66k

Adjunct Professor - Statistics and Research Methods $69k

Data Scientist/Statistics - Applied Technology $83k

Senior Subscriber Statistics Analyst $84k

Assistant Professor, Experimental Design and Inferential Statistics $102k

Assistant Professor of Mathematics and Statistics $111k

Kay Sugahara Professor of Social Sciences and Statistics $128k

Similar Courses

Sorted by relevance