Question 1: In the paper titled "Statistics: a data science for the 21st century", Professor Peter I. Diggle explained his views about the relationship between statistics and data science. Read part 1 "The rise of data science: threat or opportunity?" in the paper and answer the following questions 1. What are the reasons - in Diggle's opinion that prevented statistical packages from replacing Statisticians but rather gave a reversed effect. Statistics and statistician have become more wanted? 2. What is Diggle's opinion about the definitions of data science, information technology, and statistics? 3- Diegle's used to defend the statement "data science is just a new name for statistics, why he is not now? Question 2. Read sections (2.2 and 2.3) the paper titled "Data Science: the impact of statistics" by Weihs and Ickstadt and answer the following questions: 1. What is the essential role of exploratory data analysis? 2. What is the most important contribution of statistics according to the authors? 3. What are the statistical methods examples mentioned by the author in section 2.3? 4. What is the definition of time-series according to the paper? Question 3: Researchers collected data to examine the relationship between air pollutants and preterm births in Southern California. During the study air pollution levels were measured by air quality monitoring stations. Specifically, levels of carbon monoxide were recorded in parts per million, nitrogen dioxide and orone in parts per hundred million, and coarse particulate matter (PM) in /m3. Length of gestation data were collected on 143,196 births between the years 1989 and 1993, and air pollution exposure during gestation was calculated for each birth. The analysis suggested that increased ambient PM, and, to a lesser degree, CO concentrations may be associated with the occurrence of preterm births 1. Identify the main research question of the study 2. Who are the subjects in this study, and how many are included? 3. What are the variables in the study? Identify each variable as numerical or categorical. If numerical, state whether the variable is discrete or continuous. If categorical state whether the variable is ordinal