Southern New Hampshire University

The PSY 260 Module Four covers ANOVA (Analysis of Variance), a statistical method used to compare group means. The quiz assesses understanding of interpreting F-values, p-values, and assumptions of ANOVA, as well as conducting post-hoc analyses when significant differences are found. Mastery of these concepts is crucial for determining the relationships between variables in psychology research.

The PSY 260 Module Six focuses on Chi-Square analyses as part of the statistical literacy course. Students are required to engage with the Soomo Webtext and complete a Chi-Square Quiz to demonstrate their understanding. Key concepts include the application of Chi-Square tests to nominal data, interpreting contingency tables, and understanding the assumptions and interpretations behind the tests.

The ACC 201 Milestone 2 project requires students to prepare financial statements from a trial balance. Building on the trial balance from Milestone 1, students must create an income statement, a statement of retained earnings, and a balance sheet. This milestone focuses on accurately transferring trial balance data into the financial statements, ensuring proper adherence to accounting principles.

The HUM 102 Module Five Project, "Exploring Identity Through Humanities," requires students to analyze the relationship between creative works (like literature, art, or music) and individual and collective identity. The project involves selecting works from previous modules, exploring how societal influences shape personal identity, and discussing the broader impact of the humanities on self-identity. Students reflect on how these creative expressions shape and reflect who we are within so...

The MAT 240 Module 3.2 focuses on Linear Regression Assumptions. Students are expected to understand key assumpti ons such as linearity, homoscedasticity, normality of residuals, and independence. Through zyBooks participation activities, students analyze residual plots to assess these assumptions and ensure the validity of regression models. Identifying patterns in the residuals helps in diagnosing issues like non-linearity or heteroscedasticity.

The MAT 240 Module 2-3 Assignment, titled "Real Estate Analysis Part I," is a key component of the Applied Statistics course at Southern New Hampshire University (SNHU). In this assignment, students act as junior analysts for D.M. Pan National Real Estate Company, analyzing the relationship between property selling prices and their square footage. By collecting data from a random sample of 30 properties in the Mid-Atlantic region, students apply statistical methods to identify patterns and...

The MAT 240 Module Two Assignment at Southern New Hampshire University (SNHU) involves analyzing the relationship between property selling prices and their square footage. Students are required to select a representative sample of homes from a chosen region, collect data on listing prices and square footage, and perform statistical analyses to identify patterns and correlations. This assignment enhances students' abilities to apply statistical methods to real-world real estate data.​

The MAT 240 Module 3 Assignment at Southern New Hampshire University (SNHU) involves developing a median housing price prediction model for D.M. Pan National Real Estate Company. Students are required to analyze the relationship between house listing prices and square footage, utilizing regression analysis to create a predictive model. This assignment enhances students' abilities to apply statistical methods to real-world real estate data.​

The MAT 240 Sophia Introduction to Statistics Milestone 5 focuses on key statistical concepts such as z-tests, t-tests, chi-square tests, and confidence intervals. Students are required to analyze data, perform statistical tests, and interpret the results. This milestone assesses their ability to apply these statistical methods to real-world scenarios. Preparing through practice problems and reviewing course materials is essential for successfully completing this milestone.

MAT 240 Project Two, undertaken in Module 7 of Southern New Hampshire University's Applied Statistics course, involves a comparative analysis of housing prices between a selected U.S. region and national averages. Students are tasked with collecting a random sample of housing data from their chosen region and performing hypothesis tests to determine if regional housing prices and square footage significantly differ from national figures. This project enhances students' abilities to apply s...