SPSS PART II | ANOVA | T TEST | CORRELATION | | LECTURE 28 | BSC NURSING 7TH SEMESTER | STATISTICS

🎥 Lecture 28: SPSS Part II | ANOVA | T-Test | Correlation
📚 BSc Nursing 7th Semester – Statistics

Welcome to Lecture 28 of the Statistics series, specially designed for BSc Nursing 7th Semester students! In this in-depth session, we will explore the second part of SPSS (Statistical Package for the Social Sciences), focusing on some of the most commonly used statistical tests in nursing research and data analysis:

🔍 Topics Covered in This Lecture:

✅ Introduction to SPSS (Part II)

Understanding the layout and structure of SPSS

Data entry and variable definition review

Navigating menus for statistical analysis

📈 T-Test in SPSS

Independent Sample T-Test: Comparing two different groups (e.g., males vs. females)

Paired Sample T-Test: Pre-test and post-test comparison within the same group

Interpretation of SPSS output (t-value, p-value, confidence intervals)

📊 ANOVA (Analysis of Variance)

One-Way ANOVA: Comparing means across three or more groups

Post-hoc analysis and significance testing

Real-world nursing research examples

🔗 Correlation Analysis

Pearson’s Correlation: Linear relationship between two continuous variables

Spearman’s Rank Correlation: Non-parametric correlation for ordinal data

Interpretation of correlation coefficients and scatter plots in SPSS

🧠 Why This Lecture is Important for Nursing Students:

These statistical tools are essential for analyzing data in nursing research, community surveys, and evidence-based practice.

You will learn not only how to perform the tests, but also how to interpret results and apply them in your clinical and academic work.

Gain hands-on experience in using SPSS software to conduct real statistical analyses.

📌 Make sure to:
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📤 Share with your classmates and peers preparing for the BSc Nursing exams

📅 Stay tuned for the next lecture where we continue exploring applied statistics in nursing with practical demonstrations and case-based learning.

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