Compare and Contrast Descriptive Analytics, Diagnostic, Analytics, Predictive Analytics, and Prescriptive Analytics with suitable examples.
[7 marks]Define business analytics and explain the use of it
[3 marks]Define Following Terms: 1.Entropy 2.Percentile 3.Population 4.Quartiles
[4 marks]Demonstrate the Logistic Regression Model’s diagnostics in terms of Classification Table, Sensitivity, and Specificity.
[7 marks]Differentiate between Parameter and Statistic. What is the role of inferential statistics?
[3 marks]What is the relationship between PDF and CDF of a continuous random Variable?
[4 marks]For what purpose analytics process is used? Explain various types of Analytical techniques with examples.
[7 marks]Differentiate Stratified Sampling and Cluster Sampling
[4 marks]How do you find the standard error of a point estimate?
[3 marks]What does the central limit theorem say? Where is it applicable?
[4 marks]What are various means for measures of position and measures of variability. Explain three of each.
[7 marks]Explain following terms: 1. Cumulative Distribution Function (CDF) 2. Normal Distribution 3. Probability Mass Function
[3 marks]Explain Binomial Distribution and Poisson Distribution.
[7 marks]How do you calculate maximum likelihood estimation?
[4 marks]How are the correlations and relationships related to each other?
[3 marks]What are the advantages and disadvantages of regression models?
[4 marks]Explain a case study for classification using a decision tree.
[7 marks]03 What is Weight and Bias Tradeoff in Linear Regression?
[ marks]Explain Random Forest method.
[7 marks]Explain Accuracy, Precision , Recall, F1-Score using any Confusion Matrix
[7 marks]What is sampling distribution and why is it important?
[3 marks]Explain the least squares and the fitted model in concern of a linear regression.
[4 marks]Discuss the term Bagging
[3 marks]Compare linear regression vs. Logistic regression.
[4 marks]How to Build Decision Tree, given a dataset?
[7 marks]