answer the following questions perfectly and number each answer separately and clearly:

Question 1 What is the primary purpose of using blocking in experimental design? ) To simplify the experimental analysis. ( To reduce the total number of observations required. (> To ensure randomization is not needed. ( To control for variation between different groups. Question 2 Which of the following is a key principle of experimental design? (2) Replication (>) All of the above () Randomization Contral Question 3 What does randomization in an experiment help to eliminate? ) Control variables (2) Measurement errors () Sampling errors (> Bias due to external variables Question 4 What is a common problem when using unbalanced designs in experiments? ( It makes randomization easier. > It complicates the analysis, especially for variance. (> It leads to more precise estimates. Itmakes the treatment effects more interpretable. Question 5 In an experiment with nested factors, what is an important consideration? ( To randomize only the nested factors. (> To correctly interpret treatment interactions, which may be misleading. () To ensure that factors are crossed rather than mesbed. (> To treat all factors as fixed effects. Question 6 What is an advantage of balanced designs over unbalanced designs? ( They require fewer observations. They are less sensitive to violations of assumptions. () They are easier to analyze without any software. (> They maximize the power of the test. Question 7 What is the primary advantage of Level 1 statistical software? (2 tis inexpensive and easy to learn. (> It provides detailed statistical outputs for every analysis. (> tis designed for expert statisticians. (> tis highly accurate but requires technical expertise. Question 8 Which statistical software is categorized as Level 3 software? (2 SAS () Statgraphics (2 SPSS IMP Question 9 What is the main drawback of using Excel for statistical analysis? O It is not user-friendly. It is expensive. O It is very slow. O It lacks advanced statistical procedures. Question 10 In which situation is GLM (General Linear Model) particularly useful? O For models with only one predictor variable. When working with data that doesn't involve interaction terms. O When analyzing unbalanced designs. When conducting simple regression analysis. Question 11 Which of the following is a feature of Level 2 statistical software? O It is designed for experts who require complex analysis. It requires high-level programming skills for use. O It offers menu-driven options for statistical analysis. O It is used exclusively for teaching and learning statistics. Question 12 What is the primary role of SAS or S-PLUS in statistical consulting? O To perform basic arithmetic operations. O To handle large datasets and complex statistical models. O To create simple bar graphs and pie charts. O To generate visualizations for client reports.Question 13 What is a key benefit of using resampling techniques like bootstrapping? (2 Itincreases the sample size automatically. ( Itallows for estimating confidence intervals without making parametric assumptions. (2 It eliminates the need for any hypothesis testing. Itsimplifes the model-building process. Question 14 Which statistical method is used when analyzing response surface methodology (RSM)? (2 Exploratory Data Analysis (EDA) (> Resampling techniques (> Regression analysis ) Log-linear modeling Question 15 Why is it important for a statistical consultant to understand modern regression techniques like generalized additive models? (2 They are no longer used in modern research. ( They are the most basic statistical techniques. (2) They provide insights for complex, non-linear relationships. They simplify the analysis by reducing data dimensions