Science & Social Sciences
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Intro to Inferential Statistics

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Course Features

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Duration

2 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

Course Description

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious This course focuses on enhancing your ability to develop hypotheses and use common tests such as t tests ANOVA tests and regression to validate your claims

Course Overview

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

calculating the mean and standard deviation of a data set

central limit theorem

interpreting probability and probability distributions

normal distributions and sampling distributions

normalizing observations

What You Will Learn

EstimationEstimate population parameters from sample statistics using confidence intervalsEstimate the effect of a treatment

Hypothesis TestingHow to determine if a treatment has changed the value of a population parameter

t-testsHow to test the effect of a treatmentCompare the difference in means for two groups when there are small sample sizes

ANOVALearn how to test whether or not there are differences between three or more groups

CorrelationLearn how to describe and test the strength of a relationship between two variables

RegressionHow changes in one variable are related to changes in a second variable

Chi-squared TestsLearn how to compare and test frequencies for categorical data

Course Instructors

Ronald Rogers

Instructor

Instructor

Katie Kormanik

Instructor

Instructor

Sean Laraway

Instructor

Instructor
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