A social network usually acts as a support system…
A social network usually acts as a support system for its members. It helps members maintain good physical and mental health or prevent physical and mental breakdown. It also reduces the risk of dying prematurely or committing suicide. There are several reasons for this. Our social network of friends, relatives, and coworkers can make us feel good by boosting our self-esteem despite our weaknesses and difficulties. Because they are more objective than we are about our problems, they can open our eyes to solutions that we are too emotionally distressed to see. The companionship from our network, strengthened by our frequent participation in recreational activities, can bring us joy while chasing away loneliness and worries. Finally, our friends and relatives often give us instrumental support—money and other aid—to help us cope with our problems. All these social and psychological factors have an impact on our bodily health. They keep our blood pressure and heart rate at low levels by reducing our brain’s secretion of stress hormones. In contrast, our loved ones place many demands on our time and personal resources. They can irritate us by criticizing us or invading our privacy. This is shown in a study of the social networks of 120 widows. In this study, the women reported that more than two-thirds of the people who made their lives more difficult were their friends and relatives. In fact, these negative experiences may drag down people’s sense of well-being more than the positive social support can raise it up. Negative encounters usually have a stronger impact than positive ones; an argument stands out against a background of pleasant experiences. Thus, an isolated friendly exchange at a wedding that is already filled with strife between in-laws can restore only a little peacefulness. On the other hand, a single heated exchange at an otherwise tranquil wedding can ruin the whole experience. In sum, social networks can have both positive and negative consequences for people’s lives. A conclusion that might be drawn from the passage is that
A social network usually acts as a support system…
Questions
A sоciаl netwоrk usuаlly аcts as a suppоrt system for its members. It helps members maintain good physical and mental health or prevent physical and mental breakdown. It also reduces the risk of dying prematurely or committing suicide. There are several reasons for this. Our social network of friends, relatives, and coworkers can make us feel good by boosting our self-esteem despite our weaknesses and difficulties. Because they are more objective than we are about our problems, they can open our eyes to solutions that we are too emotionally distressed to see. The companionship from our network, strengthened by our frequent participation in recreational activities, can bring us joy while chasing away loneliness and worries. Finally, our friends and relatives often give us instrumental support—money and other aid—to help us cope with our problems. All these social and psychological factors have an impact on our bodily health. They keep our blood pressure and heart rate at low levels by reducing our brain’s secretion of stress hormones. In contrast, our loved ones place many demands on our time and personal resources. They can irritate us by criticizing us or invading our privacy. This is shown in a study of the social networks of 120 widows. In this study, the women reported that more than two-thirds of the people who made their lives more difficult were their friends and relatives. In fact, these negative experiences may drag down people’s sense of well-being more than the positive social support can raise it up. Negative encounters usually have a stronger impact than positive ones; an argument stands out against a background of pleasant experiences. Thus, an isolated friendly exchange at a wedding that is already filled with strife between in-laws can restore only a little peacefulness. On the other hand, a single heated exchange at an otherwise tranquil wedding can ruin the whole experience. In sum, social networks can have both positive and negative consequences for people’s lives. A conclusion that might be drawn from the passage is that
Yes оr Nо. Generаlly Accepted Accоunting Principles (GAAP) stаtes thаt financial statements MUST show inventory values and COGS using the Traditional Costing System.
The pedigree fоr аn аutоsоmаl dominant disease is shown below. Individuals have been genotyped at a marker location. Individuals 1-6 can be used in a LOD calculation. Individuals 3 and 6 have inherited a recombinant chromosome. Individuals 1,2,4, and 5 have inherited a non-recombinant chromosome. Calculate the LOD score using theta=0.1.
Reаd аnd аbide by the fоllоwing instructiоns You may begin the exam any time between 8:00 AM, Thursday, October 16, 2025 and 9:00 PM on Sunday, October 19, 2025. The duration of the exam is 3 hours. Please note that once you start the exam, you’ll have to complete the exam in one sitting. The timer begins to run once you begin the exam and it will submit automatically once the time expires. Complete all problems and upload your responses as PDF or Word document. All work must be done independently – you must not give or receive help on the problems. You may use a cheat sheet, a calculator, R, RStudio on Posit Cloud etc. Show your work for full credit. Reporting only your final answers will result in loss of points. Your PDF or Word document should include your code, comments and solutions. Avoid printing unnecessary R output. Be concise and straight to the point. If you use R Markdown, make sure you knit the R Markdown file into a PDF or Word document. I will not grade unknitted R Markdown files or R scripts. You have only ONE attempt to upload your solution. Please use it wisely. I'll only grade exams uploaded and submitted to Canvas. Do not send any exam to my email. I'll not acknowledge them. Problem 1 (35 points) Principal Component Analysis (PCA) was performed using the covariance matrix corresponding to the variables and . The resulting principal components are presented below. a. Compute the variance of the principal components and their pairwise covariances i.e. , for . (Hint: Recall , where is the matrix of eigenvectors and is the vector of the original variables) (10 points) b. Compute the correlation coefficients between the principal components and the original variables. Interpret the correlations. (10 points) c. Compute the proportion of the total variance explained by each principal component. (10 points) b. One of the goals of PCA is to reduce the dimension of the original data. For this analysis, how many principal components would you retain? Justify. (5 points) Problem 2 (30 points) Factor analysis was performed on the correlation matrix of the scores of 220 boys in six school subjects, namely, (French), (English), (History), (Arithmetic), (Algebra), and (Geometry). The two-factor solution from the factor analysis is shown below. Factor Loadings Subject F1 F2 French 0.55 0.43 English 0.57 0.29 History 0.39 0.45 Arithmetic 0.74 -0.27 Algebra 0.72 -0.21 Geometry 0.60 -0.13 a. Report the orthogonal factor model i.e. . (5 points) b. Calculate the communalities and interpret the values. (10 points) c. Calculate the correlation between the subjects and the common factors, i.e. for and . What subject(s) might carry the greatest weight in “naming” the common factors? Why? (10 points) d. Given the correlation matrix of the data Recall, that the orthogonal factor model implies that the correlation matrix , can be written in the form , where , is a matrix of the loadings and i.e., the covariance matrix of specific errors of the factor model. Compute and interpret the values. (5 points) Problem 3 (25 points) Consider the dissimilarity (distance) matrix between pairs of five items given below. Cluster the five objects using each of the following procedures. Draw the dendrograms and compare the results. Cut the dendrograms to produce to two clusters for each linkage method. Report the heights at which the two clusters are created for each linkage method. a. Single linkage hierarchical procedure. (5 points) b. Complete linkage hierarchical procedure. (5 points) c. Average linkage hierarchical procedure. (5 points) d. Which linkage method would you recommend? Justify your answer. (10 points) Problem 4 (10 points) Suppose we can measure three variables , and for six items A, B, C, D, E and F. The data are as follows. Use the -means clustering technique to divide the items into clusters. Start with the initial groups (ACD) and (BEF). Report the final clusters.