Syllabus

Course Code: M-BECOC -010    Course Name: Practical: Statistical Software for Data Analysis and Project Work

MODULE NO / UNIT COURSE SYLLABUS CONTENTS OF MODULE NOTES
1 Data Entry; Presenting the Data: Counts and Bar Charts, Histogram, Multivariate Tables, Scatter Plots and 3D Plots, Categorised Plots; Summarising the Data: Arithmetic Mean, Median, Quantiles, Mode, Range, Inter-quartile range, Variance, Standard Deviation, Skewness, Kurtosis.
2 Data Entry; Presenting the Data: Counts and Bar Charts, Histogram, Multivariate Tables, Scatter Plots and 3D Plots, Categorised Plots; Summarising the Data: Arithmetic Mean, Median, Quantiles, Mode, Range, Inter-quartile range, Variance, Standard Deviation, Skewness, Kurtosis.
3 Estimating Data Parameters- Point Estimation and Interval Estimation, Estimating a Mean, Estimating a Proportion, Estimating a Variance, Estimating a Variance Ratio; Parametric Tests of Hypotheses: Inference on One Population- Testing a Mean, Testing a Variance; Inference on Two Populations- Testing a Correlation, Comparing Two Variances- The F Test, Comparing Two Means- Independent Samples and Paired Samples.
4 Inference on More than Two Populations: One-Way ANOVA, Two-Way ANOVA; Non-Parametric Tests of Hypotheses: Inference on One Population- The Runs Test, The Binomial Test, The Chi-Square Goodness of Fit Test, The Kolmogorov-Smirnov Goodness of Fit Test, The Shapiro-Wilk Test for Normality, contingency table, The Chi-Square Test of Independence, Inference on Two Populations- Tests for Two Independent Samples, The Kolmogorov-Smirnov Two-Sample Test, The Mann-Whitney Test, The Sign Test, The Wilcoxon Signed Ranks Test, Inference on More Than Two Populations- The Kruskal-Wallis Test for Independent Samples, The Friedmann Test for Paired Samples; Simple Linear Regression Model.
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