Free online courseStatistics

Duration of the online course: 31 hours and 55 minutes

4.87

StarStarStarStarStar

(30)

Master fundamental statistics concepts in this free online course. Learn about data types, probability, distributions, sampling, z-scores, hypothesis testing, and more.

Course Description

The course "Statistics by" is an extensive exploration into the fundamentals of statistics, designed for those who are just starting their journey into this crucial field. With a duration of 31 hours and 55 minutes, it's a substantial commitment that promises a thorough grounding in the subject.

Belonging to the "Basic Studies" category and diving into the subcategory of statistics, this course has received a remarkable average rating of 4.9 out of 5 stars, reflecting its high-quality content and the effectiveness of its instruction. Guided by a seasoned educator in the field, students can expect a comprehensive and engaging learning experience.

The course begins with an introduction to elementary statistical terms and definitions, ensuring that students are equipped with the foundational vocabulary necessary for more advanced topics. As learners progress, they explore various categories and levels of data measurement, followed by essential sampling techniques to develop random samples efficiently.

One of the core areas covered is the creation of frequency distributions and histograms, providing students the tools to organize and visualize data effectively. This is complemented by lessons on finding the center of a data set through mean, median, and mode, and calculating the standard deviation, which is crucial for understanding data variability.

The course delves deeply into probability, starting with introductory concepts and advancing through the addition and multiplication rules for probability, probability of complementary events, and the fundamental counting principle. Students will also learn about permutations and combinations, broadening their understanding of different probability scenarios.

Probability distributions are another focal point, where learners study both general and binomial distributions, and how to find their mean and standard deviation. This is crucial for interpreting and predicting data patterns.

In the sections covering the normal distribution and continuous random variables, students are introduced to the standard normal distribution and z-scores, which are pivotal for statistical inference. The course explains sampling distributions and the Central Limit Theorem, leveraging these concepts to approximate population characteristics from samples.

Confidence intervals are meticulously covered, including for population proportions and sample means, whether the population standard deviation is known or not. This segment is vital for making reliable population parameter estimates from sample data.

Finally, the course wraps up with hypothesis testing, a cornerstone of statistical analysis. From testing population proportions and means to examining variances and standard deviations, students gain robust skills in making data-driven decisions.

Overall, "Statistics by" offers a rich tapestry of statistical education, meticulously structured to build a solid foundation and advance learners' understanding through practical, real-world applications. Whether you're a beginner in statistics or looking to reinforce your knowledge, this course stands out as a highly recommended resource.

Conteúdo do Curso

  • Video class: Statistics Lecture 1.1: The Key Words and Definitions For Elementary Statistics

    0h17m

  • Exercise: _What does the term "data" mean in statistics?

  • Video class: Statistics Lecture 1.3: Exploring Categories of Data, Levels of Measurement

    0h31m

  • Exercise: _Which type of data is not related to numbers and mathematical operations are meaningless for it?

  • Video class: Statistics Lecture 1.5: Sampling Techniques. How to Develop a Random Sample

    0h31m

  • Exercise: _What is the main difference between an observation and an experiment in statistics?

  • Video class: Statistics Lecture 2.2: Creating Frequency Distribution and Histograms

    1h07m

  • Exercise: _What is a frequency distribution in statistics?

  • Video class: Statistics Lecture 3.2: Finding the Center of a Data Set. Mean, Median, Mode

    1h11m

  • Exercise: _What is the most common way to describe the center of a data set?

  • Video class: Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

    1h56m

  • Video class: Statistics Lecture 3.4: Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation

    1h31m

  • Exercise: _What is a z-score?

  • Video class: Statistics Lecture 4.2: Introduction to Probability

    1h42m

  • Exercise: _What does a low probability mean in statistics?

  • Video class: Statistics Lecture 4.3: The Addition Rule for Probability

    1h09m

  • Exercise: _In the game of craps, what are the two numbers that will double your money if rolled on the first roll?

  • Video class: Statistics Lecture 4.4: The Multiplication Rule for "And" Probabilities.

    1h06m

  • Video class: Statistics Lecture 4.5: Probability of Complementary Events with "At Least One"

    0h32m

  • Video class: Statistics Lecture 4.7: Fundamental Counting Rule, Permutations and Combinations

    1h37m

  • Exercise: _What is the fundamental counting rule in statistics?

  • Video class: Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

    1h12m

  • Video class: Statistics Lecture 5.3: A Study of Binomial Probability Distributions

    1h32m

  • Exercise: _What are the two outcomes in a binomial probability distribution?

  • Video class: Statistics Lecture 5.4: Finding Mean and Standard Deviation of a Binomial Probability Distribution

    0h42m

  • Video class: Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables

    2h11m

  • Video class: Statistics Lecture 6.3: The Standard Normal Distribution. Using z-score, Standard Score

    0h56m

  • Video class: Statistics Lecture 6.4: Sampling Distributions Statistics. Using Samples to Approx. Populations

    0h50m

  • Exercise: _What is the underlying idea of sampling distributions?

  • Video class: Statistics Lecture 6.5: The Central Limit Theorem for Statistics. Using z-score, Standard Score

    1h31m

  • Exercise: _What is the first requirement for using the central limit theorem?

  • Video class: Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion

    2h24m

This free course includes:

31 hours and 55 minutes of online video course

Exercises to train your knowledge

Certificate of course completion

100% free, from content to certificate

QR Code - Baixar Cursa - Cursos Online

This online course can only be accessed through the Cursa App. Download it using the QR code or the links below:

This online course can only be accessed through the Cursa app. Install it using the links below:

  • Study for free!

    Here you never pay! Not even for the certificate, because everything in the app is 100% free!

  • Improve your resume!

    There are more than 4,000 free courses for you to study anything that interests you!

  • Free Digital Certificate!

    Complete the course and issue your internationally recognized Digital Certificate free of charge.

More free courses at Statistics

Download the App now to have access to + 3300 free courses, exercises, certificates and lots of content without paying anything!

  • 100% free online courses from start to finish

    Thousands of online video courses, audio or text courses.

  • More than 48 thousand free exercises

    To test your knowledge during online courses

  • Valid free Digital Certificate with QR Code

    Generated directly from your cell phone's photo gallery and sent to your email

Cursa app on the ebook screen, the video course screen and the course exercises screen, plus the course completion certificate

+ 6.5 million
students

Free and Valid
Certificate with QR Code

48 thousand free
exercises

4.8/5 rating in
app stores

Free courses in
video, audio and text