Statistical Analysis using Python Numpy

4.5
stars

13 ratings

Offered By
In this Guided Project, you will:

Obtain two Numpy arrays from the DataFrame column to represent Female student scores and Male Student scores.

Add the Numpy code to determine the T-value and P-value of the data sets.

Add the function to remove outliers from each set of data, then re-compute the T-value and P-value.

2 hours
Intermediate
No download needed
Split-screen video
English
Desktop only

By the end of this project you will use the statistical capabilities of the Python Numpy package and other packages to find the statistical significance of student test data from two student groups. The T-Test is well known in the field of statistics. It is used to test a hypothesis using a set of data sampled from the population. To perform the T-Test, the population sample size, the mean, or average, of each population, and the standard deviation are all required. These will all be calculated in this project. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

  • Python Statistics

  • Python Programming

  • Statistics T Test

  • Numpy

  • Statitistics Pooled Variance

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Analyze the T-Test problem and use the Python Pandas to read from the CSV into a Data Frame.

  2. Obtain two Numpy arrays from the DataFrame column to represent Female student scores and Male Student scores.

  3. Compute the variance of the two arrays using the standard deviation from each array.

  4. Add the Numpy code to compute the pooled Variance and standard deviation and determine the T-value and P-value of the data sets.

  5. Add a function to remove outliers from each set of data, then re-compute the T-value and P-value.

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently Asked Questions

By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.

Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.

Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.

You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.

Guided Projects are not eligible for refunds. See our full refund policy.

Financial aid is not available for Guided Projects.

Auditing is not available for Guided Projects.

At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.

Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.