SWD 325 Advanced Statistical Computing Practical App

Student Information

Full NameMatric NumberDepartment

LevelSessionPractical Date

Descriptive Statistics

t-Test

Regression

ANOVA

Practical Workflow

This app enables students to perform descriptive analysis, an independent-samples t-test, simple linear regression and one-way ANOVA, then generate one complete practical report.

Descriptive Analysis

Summarise a dataset using mean, median, mode, range, variance and standard deviation.

Independent-Samples t-Test

Compare the means of two independent groups.

Simple Linear Regression

Model the relationship between X and Y and make predictions.

One-Way ANOVA

Compare three independent group means.

Practical I: Descriptive Statistics

Objective: To summarise and describe the main characteristics, patterns and trends in a dataset.

Enter Numerical Data

Separate values with commas, spaces or semicolons.

Run the analysis to view the results.

Practical II: Independent-Samples t-Test

Objective: To determine whether there is a significant difference between the means of two independent groups.

Group A ValuesGroup B Values

Significance LevelAlternative HypothesisMethod

Run the t-test to view results.

Practical III: Simple Linear Regression

Objective: To estimate the relationship between a dependent variable and one independent variable and make predictions.

X ValuesY Values

Predict Y for X =Optional CSV Import

CSV format: first column = X and second column = Y.

Run the regression to view results.

Practical IV: One-Way ANOVA

Objective: To determine whether there are statistically significant differences among the means of three independent groups.

Group AGroup BGroup C

Significance Level

Run ANOVA to view results.

Complete Practical Report

Run the required analyses, then click the button below to generate one complete report.

Overall ObservationOverall Conclusion

The complete report will appear here.

About

This one-page application supports practical learning in descriptive statistics, t-tests, regression analysis and ANOVA for SWD 325 Advanced Statistical Computing.

Course Lecturer: AGADA FRED

Developed & Powered by: AGADA FRED

Version: 1.0