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STA644 : Non-Parametric Statistics

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Course Info

Course Category

 Probability & Statistics

Course Level

 Undergraduate

Credit Hours

 3

Pre-requisites

 N/A

Instructor

 Dr. Kalsoom Akhtar
PhD Applied Statistics
National College of Business Administration & Economics Lahore (Lahore/Pakistan)

Course Contents

Measurement Scales Measurement Scales: Example Measures of Location: Mean and Median Hypothesis Testing Relative Efficiency Population and sample Non -Parametric Test The Binomial Test Confidence Interval for Population Proportion Sign Test The McNemar test Confidence Interval for Median based on Sign test Contingency Table: The 2 x 2 contingency table Chi-square Test for Differences in Probabilities Chi-square Test for Independence: Introduction Chi-square Test of Homogegeneity Procedures About Data from Two Independent Samples The Median Test: Introduction Chi-squared Test for Goodness of Fit Two Independent Samples: Mann Whitney U test Confidence Interval for the Difference Between Two location parameters: Sign Test Two Related Samples-Introduction Sign Test Two Related Samples-One tailed and Two tailed test Confidence Interval for median based on Sign Test for Related Samples McNemar Test for Two Related Samples- Wilcoxon Signed Rank Test Wilcoxon Signed Rank Test for Large Samples Confidence Interval for Median based on Wilcoxon Signed Rank test Kruskal Wallis H test Kruskal Wallis H test for ties Friedman test Cochran's test Measures of Rank Correlation: Spearman's Rank Correlation: Kendall's tau test: Lilliefors Test for Normality: Kolmogorov Smirnov Test for Normality Runs Test for Randomness Large Sample Approximation for Runs test Seigel Tukey Test for Scale Differences-Introduction Squared Ranks test for Variances Simple Linear Regression Analysis: Thiel's Method Test for Parallelism of Two Regression Lines
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