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WorksheetsStatistical Analysis Worksheet
Total questions: 10
Worksheet time: 30mins
The correlation between Service Quality and Customer Loyalty is r = 0.72, p < 0.01. This indicates:
Weak positive relationship
Strong positive relationship
No relationship
Negative relationship
In a regression predicting Employee Satisfaction: • Security (β = 0.678, p < .001) • Functionality (β = 0.067, p = 0.23) • Information Quality (β = -0.657, p < .001) Which predictors are significant?
Only Security
Security and Information Quality
Functionality and Security
All predictors
Mean = 3,200, Median = 3,000, Mode = 2,800. The distribution is:
Symmetric
Negatively skewed
Positively skewed
Normal distribution
Chi-square test: χ² = 8.33, df = 1, p = 0.004. Conclusion?
No association exists
Significant association exists
Cannot interpret without Phi
Strong negative association
Males: Mean = 72, Females: Mean = 68, t = 2.45, p = 0.015.
No difference
Males score significantly higher
Females score significantly higher
Not significant
ANOVA: F(2,117) = 15.72, p < .001. Means: HR = 3.8, Finance = 3.2, Marketing = 4.1.
No difference
Finance has highest satisfaction
Marketing significantly higher than Finance
HR has the highest satisfaction
KMO = 0.82, Bartlett’s p < .001, 3 factors explain 66% variance.
Data unsuitable for factor analysis
Three meaningful dimensions identified
No significant factors
Multicollinearity problem
A VIF value less than 5 indicates
Poor Convergent validity
No Multicollinearity
Discriminant Validity
Positive Impact
Three clusters: Low spenders, Moderate spenders, High spenders.
Random grouping
Segmentation into Budget, Regular, Premium shoppers
Clusters not meaningful
Only two clusters valid
Results: PE → BI (β = 0.34), TR → BI (β = 0.29), EE → BI (β = 0.17), PR → BI (β = -0.11), all significant, R²(BI) = 0.62.
PE and TR are strongest predictors
EE has largest effect
PR has no effect
Model explains little variance
