The Forest Inventory and Analysis (FIA) Program of the U.S. Forest Service commonly uses estimators from the Generalized Regression Estimator (GREG) family to estimate forest attributes. The GREG combines complex survey data and auxiliary data, such as remote-sensing data, to produce more precise estimates. Meanwhile, a similar estimator, the Generalized Multivariate Difference Estimator (GMDE) also combines complex survey data and auxiliary data.

In the last few decades, the U.S. economy transformed from preindustrial colonies mainly dealing in subsistence farming, to mercantilist merchants competing in the trade of basic commodities, to corporations with massive production capacity able to produce goods for a global market. Take Apple, for example; their gross profit margin — the ratio between revenue and the costs incurred in producing products and services – for 2021 was 29.78%.

Social interactions in classrooms are a major part of students' college life. Literature shows that recognition from peers forms an important part of a student's identity. Research has also shown gender biases exist in students’ recognition of strong(in course material) peers. We analyze survey data collected from students(n = 287) in an undergraduate classroom at two points in the term. We use Social Network Analysis(SNA) and ERGM’s (Exponential Random Graph Model) to investigate students’ interactions, attitudes, and perceptions of strong peers.

Russia launched its full-scale invasion of Ukraine on February 24, 2022, turning a simmering conflict that had marred the region since 2014 into the largest war on European soil since the defeat of Nazi Germany. As the Ukrainian and Russian armed forces struggle against each other to gain the upper hand on the battlefield, the two governments are also prosecuting an information war for the hearts and minds of the world.

The purpose of this study was to examine how Caste affected love, friendship, and marriage in Indian Society. India continues to be a caste-based society. While extreme forms of casteism such as untouchability have been banned, caste continues to play an important role in shaping social relationships. A mixed methods study using survey questionnaires and individual semi-structured interviews were conducted to understand perspectives of people from different backgrounds and ages on the effect of caste on social relationships.

This study investigated the impact of cyberbullying on the mental health of college students in India. The research was conducted using sequential mixed methods; a quantitative survey (n = 160) followed by qualitative interviews (n = 4). The Chi-square test was used for the quantitative analysis, while qualitative coding was used to identify relevant categories and themes in the interviews. The statistical test indicates no significant association between the experience of being bullied and individuals’ gender.

This mixed methods study sought to understand if time spent on social media and the type of content consumed had any influence on a young person’s self-confidence. Survey questionnaires (n=126) and semi-formal interviews ( n= 8) were the primary methods of data collection. While the quantitative findings showed that the more time young people spend on social media, the more they restrict their time on social media. The interview findings suggested that increased familiarity with socia media led youth to become more comfortable with being vulnerable on social media.

High attrition from STEM degrees among first and second-year undergraduates is an ongoing subject of concern and research in higher education institutions. Using seven years of student enrollment and class performance data from Azusa Pacific University (APU), this research examines both freshman and STEM retention rates with special regard to the success of students in introductory STEM courses. In order to identify gatekeeping courses that tend to have inequitable outcomes across demographic groups, the course, not the student, is the primary object of study.

Our career success and personal fulfillment as statisticians and data scientists rely on our ability to ask good questions of ourselves and of others, and to engage with others who ask us good questions. However, as demonstrated by the existence of entire scientific disciplines devoted to asking good questions, it is not necessarily easy to do so.

What does a good diagnostic plot look like? When we look at a residual or QQ-plot, we are implicitly comparing it to what we view as a good plot in our mind. It turns out that we as humans are exceptional at picking patterns out of randomness and hence tend to over-interpret visual diagnostics. We attempt to remedy this problem by simulating good diagnostic plots for a viewer to use as references when they evaluate a graphical display.