Statistics Project, Part 2: Hypothesis Testing and Two-Group t Tests

Now that you have run descriptive statistics with your data, it is time to create a hypothesis and test your hypothesis. This part of the Statistics Project will take you through the process of creating and testing your hypothesis through statistical methods, using Microsoft® Excel®. Creating hypotheses provides you the opportunity to think like a researcher and help you understand and critique research articles you read.

Create a hypothesis for the Happiness and Engagement Dataset from Part 1 of the Statistics Project. Your hypothesis can be anything based on the variables you have in your dataset. One example: Teaching Method X provides higher test scores than Teaching Method Y.

Create a null hypothesis. (Example: Teaching Method X scores are equal to Teaching Method Y scores.)

Save your time - order a paper!

Get your paper written from scratch within the tight deadline. Our service is a reliable solution to all your troubles. Place an order on any task and we will take care of it. You won’t have to worry about the quality and deadlines

Order Paper Now

State your null and alternate hypotheses.

Identify and justify which type of statistical analysis will be appropriate for this data.

Review the steps beginning on pp. 202 in Statistics Plain and Simple describing how to run an independent samples t test.

Run an independent samples t test on the data in your dataset.

Write a 125- to 175-word summary of your interpretation of the results of the t test, and copy and paste your Microsoft® Excel® output below the summary.

WE ALL KNOW CLASSWORK IS BORING. THUS, OUR ESSAY HELP SERVICE EXISTS TO HELP STUDENTS WHO ARE OVERWHELMED WITH STUDIES. ORDER YOUR CUSTOM PAPER FOR 20% DISCOUNT. USE CODE SAVE20