I will analyze your data using spss

1. Descriptive Statistics

• Mean, median, mode, standard deviation, variance, range
• Frequency tables, cross-tabulation (crosstabs)
• Charts: histogram, box plot, scatter plot, bar chart, pie chart

2. T-tests & Mean Comparison

• One-sample t-test
• Independent samples t-test (two group comparison)
• Paired samples t-test (before-after data)
• One-way ANOVA, two-way ANOVA, repeated measures ANOVA
• Post-hoc tests: Tukey, LSD, Scheffe

3. Correlation & Regression Analysis

• Pearson correlation, Spearman rank correlation
• Simple linear regression
• Multiple linear regression
• Logistic regression (binary & multinomial)
• Ordinal regression
• Weighted regression

4. Non-parametric Tests

• Mann-Whitney U, Wilcoxon signed-rank
• Kruskal-Wallis, Friedman test
• Chi-square test for independence

5. Factor & Dimension Reduction

• Exploratory Factor Analysis (EFA)
• Principal Component Analysis (PCA)
• Reliability test: Cronbachs Alpha

6. Advanced Statistical Models

• Cluster analysis (hierarchical & k-means clustering)
• Discriminant analysis
• Survival analysis
• Multivariate MANOVA
• Time series analysis (forecast, ARIMA)