C.1. C.2. C.3. C.4. C.5. C.6. C.7. C.8. C.9. Chapter 2: Describing the Distribution of a Variable Problems Book Title: Business Analytics: Data Analysis and Decision Making Printed By: Naveen Kumar...

C.1. C.2. C.3. C.4. C.5. C.6. C.7. C.8. C.9. Chapter 2: Describing the Distribution of a Variable Problems Book Title: Business Analytics: Data Analysis and Decision Making Printed By: Naveen Kumar Maridu ([email protected]) © 2020 Cengage Learning, Cengage Learning Chapter Review Problems Conceptual Questions An airline analyst wishes to estimate the proportion of all American adults who are afraid to fly because of potential terrorist attacks. To estimate this percentage, the analyst decides to survey 1500 Americans from across the nation. Identify the relevant sample and population in this situation. The number of children living in each of a large number of randomly selected households is an example of which data type? Be specific. Does it make sense to construct a histogram for the state of residence of randomly selected individuals in a sample? Explain why or why not. Characterize the likely shape of a histogram of the distribution of scores on a midterm exam in a graduate statistics course. A researcher is interested in determining whether there is a relationship between the weekly number of room air-conditioning units sold and the time of year. What type of descriptive chart would be most useful in performing this analysis? Explain your choice. Suppose that the histogram of a given income distribution is positively skewed. What does this fact imply about the relationship between the mean and median of this distribution? “The midpoint of the line segment joining the first quartile and third quartile of any distribution is the median.” Is this statement true or false? Explain your answer. Explain why the standard deviation would likely not be a reliable measure of variability for a distribution of data that includes at least one extreme outlier. Explain how a box plot can be used to determine whether a distribution of values is essentially symmetric. C.10. 38. 39. Suppose that you collect a random sample of 250 salaries for the salespersons employed by a large PC manufacturer. Furthermore, assume that you find that two of these salaries are considerably higher than the others in the sample. Before analyzing this data set, should you delete the unusual observations? Explain why or why not.