QMB3302 Final UF Verified A+

QMB3302 Final UF Verified A+ The correct number of clusters in Hierarchical clustering can be determined precisely using approaches such as silhouette scores (True or False) ️️False In K Means clustering, the analyst does not need to determine the number of clusters (K), these are always derived analytically using the kmeans algorithm. (True or False) ️️False One big difference between the unsupervised approaches in this module, and the supervised approaches in prior modules: Unsupervised models do not have a target variable (Y). This make is difficult to know when they are "right" or correct. (True or False) ️️True What is the significance of defining the population in a research study? ️️ Defining the population clarifies the group being studied, ensuring that the research findings are applicable and relevant to the intended audience. Explain the concept of "mean" and how it is calculated. ️️ The mean is the average of a data set, calculated by summing all values and dividing by the total number of observations. What is a "null hypothesis," and why is it essential in statistical testing? ️️ A null hypothesis is a statement asserting that there is no effect or relationship; it serves as a baseline to test against an alternative hypothesis. How do qualitative data and quantitative data complement each other in research? ️️ Qualitative data provides depth and context to quantitative findings, enriching understanding and supporting more comprehensive analysis. What is the purpose of conducting a pilot study before a full research project? ️️ A pilot study tests the feasibility and design of the research method, identifying potential issues before the main study is conducted. Define "descriptive statistics" and its role in data analysis. ️️ Descriptive statistics summarize and describe the main features of a dataset, providing a clear overview of its characteristics without making inferences. How does a decision tree aid in decision-making processes? ️️ A decision tree visually represents choices and their potential outcomes, facilitating structured analysis and clearer decision-making. What does it mean when a data set is "skewed"? ️️ A skewed data set has an asymmetrical distribution, indicating that values are not evenly distributed around the mean, affecting interpretation. What is the importance of data cleaning in the research process? ️️ Data cleaning ensures accuracy and reliability by identifying and correcting errors or inconsistencies in the data set before analysis. How do market surveys contribute to understanding customer preferences? ️️ Market surveys collect feedback directly from customers, providing insights into preferences and behaviors that inform product development and marketing strategies. Explain the concept of "factor analysis" and its application. ️️ Factor analysis identifies underlying relationships between variables, simplifying data by grouping related items, useful in survey development and market research. What is a "Box-Cox transformation," and when is it used? ️️ The Box-Cox transformation is a statistical technique used to stabilize variance and make data more normally distributed, enhancing analysis accuracy. How does one calculate the median, and why is it important? ️️ The median is the middle value in a sorted data set, important for understanding the central tendency without being affected by outliers. What role does exploratory data analysis (EDA) play in research? ️️ EDA involves analyzing data sets to summarize their main characteristics, often using visual methods, guiding further analysis and hypothesis formulation. What is a "sensitivity report" in linear programming? ️️ A sensitivity report analyzes how changes in constraints or objective function coefficients affect the optimal solution in linear programming problems. Explain the concept of "data ethics" in business research.