Intro to Inferential Statistics
Course
Online
Description
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Type
Course
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Methodology
Online
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Start date
Different dates available
Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!
Facilities
Location
Start date
Start date
Reviews
Subjects
- Statistics
- Inferential Statistics
- Data
- Predictions
Course programme
Approx. 2 months
Join thousands of students Course SummaryInferential 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.
Why Take This Course?This course will guide you through some of the basic tools of inferential statistics.
This course will cover:
- estimating parameters of a population using sample statistics
- hypothesis testing and confidence intervals
- t-tests and ANOVA
- correlation and regression
- chi-squared test
This course assumes basic understanding of Descriptive Statistics, specifically the following:
- 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
If you need a refresher, check out our Descriptive Statistics course! The course also utilizes Google Spreadsheets as a tool.
See the Technology Requirements for using Udacity.
What Will I Learn? Projects P1: Test a Perceptual Phenomenon Use descriptive statistics and a statistical test to analyze the Stroop effect, a classic result of experimental psychology. Give your readers a good intuition for the data and use statistical inference to draw a conclusion based on the results. SyllabusInferential Statistics is a continuation of the material covered in Descriptive Statistics, and so lesson numbers follow from that course:
Lesson 8: EstimationYou will learn how to estimate population parameters from sample statistics using confidence intervals and estimating the effect of a treatment.
Lesson 9: Hypothesis TestingYou will learn how to use critical values to make decisions on whether or not a treatment has changed the value of a population parameter.
Lesson 10,11: t-testsYou will learn how to test the effect of a treatment or compare the difference in means for two groups when we have small sample sizes.
Lesson 12,13: ANOVAYou will learn how to test whether or not there are differences between three or more groups.
Lesson 14: CorrelationYou will learn how to describe and test the strength of a relationship between two variables.
Lesson 15: RegressionYou will learn how to describe the way in which changes in one variable are related to changes in a second variable.
Lesson 16: Chi-squared TestsYou will learn how to compare and test frequencies for categorical data.
Final ProjectYou will use the methods you have learned in this course to perform an analysis on a dataset and report your findings. You will describe the data, calculate statistics, perform inference, and make conclusions.
Intro to Inferential Statistics