How to Run Essay Example for Free

How to Run Essay STATISTICAL TECHNIQUE IN REVIEW Mean (X) is a measure of central tendency and is the sum of the raw scores divided by the number of scores being summed. Standard deviation (SD) is calculated to measure dispersion or the spread of scores from the mean (Burns Grove, 2007). The larger the value of the standard deviation for study variables, the greater the dispersion or variability of the scores for the variable in a distribution. (See Exercise 16 for a detailed discussion of mean and standard deviation. ) Since the theoretical normal curve is symmetrical and unimodal, the mean, median, and mode are equal in the normal curve (see Figure 18-1). In the normal curve, 95% of the scores will be within 1.96 standard deviations of the mean, and 99% of scores are within 2.58 standard deviations of the mean. Figure 18-1 demonstrates the normal curve, with a.X = 0. The formula used to calculate the 95% rule to determine where 95% of the scores for the normal curve lie is: X ±1.96(SD) The formula used to calculate the 99% rule to determine where 99% of the scores for the normal curve lie is: X  ± 2.58 (SD) FIGURE 18-1 †¢ The Normal Curve Mean Median Mode Standard deviation -3 Zscore -2.58 -+2.58 131 133 Mean, Standard Deviation, and 95% and 99% of the Normal Curve EXERCISE 18 Participants reported a net increase in weight from 3 months prior (M= 2.4 Ib, SD 12.9 Ib) and 12 months prior (M = 10.9 Ib, SD = 19.1 Ib) and that their weight was greater than their ideal weight (M = 9.2 Ib, SD = 22.9 Ib). SDs for the data indicated a wide range on weight at both 3 and 12 months before participation in the study. Body image scores (0-100 scale) were significantly (F(1 37) = 5.41, p =.03) higher for women (73.1  ± 17.0) than men (60.2  ± 17.0). Although HIV-positive participants had slightly higher body image scores (M = 68.0, SD = 17.0) compared with participants with AIDS (M = 60.5, SD = 18.8), there was no significant difference (F(1 ,7, = 1.56, p —.22) in body image scores between [those with HIV and AIDS]. There was a weak, but significant, inverse association between body image score and weight changes from 3 months prior (r = -.30, p =.04). Body image and weight scores are summarized in Table 1 (Corless et al, 2004, p. 294). TABLE 1 Body Image and Weight Measures for Men and Women GENDER Male Female Mean Body image Weight change last 12 months Weight change last 3 months Weight relative to ideal Body weight ratio SD Mean SD 60.22 10.26 16.98 22.40 15.87 22,93 33.97 73.07 11.94 1.47 13.63 14.44 67.56 22.57 34.44 3.05 5.48 53.66 16.93 7.32 Corless, I. B., Nicholas, P. K., McGibbon, C. A., Wilson, C., (2004). Weight change, body image, and quality of life in HIV disease: A pilot study. Applied Nursing Research, 77(4), p. 294. A summary of quality-of-life scores for men and women is shown in Table 2. The scales of the MOS-HIV Quality of Life instrument include General Health Perceptions, Physical Functioning, Role Functioning, Social Functioning, Cognitive Functioning, Pain, Mental Health, Vitality, Health Distress, Quality of Life, and Heath Transition. There were no significant differences between quality of life scores between men and women. Men did have lower scores on some MOS-HIV scales (Cognitive Functioning, Pain, Quality of Life, and Health Transition) and women were lower on others (Vitality and Health Distress). In addition, there were a number of differences in the relationships between quality of life scores, body image, and body weight. The positive correlations indicated that improved quality of life was associated with improved body image (Corless et al., 2004, pp. 294-5). 132 EXERCISE 18 Mean, Standard Deviation, and 95% and 99% of the Normal Curve The data described below are the verbal SAT scores for high school seniors for one year with X = 490 and SD =100 (see Figure 18-2). The formula used to find where 95% of the scores lie is X  ± 1.96 (SD). In this example, 490 + 1.96 (100) = 686, and 490 1.96 (100) = 294. Thus 95% of scores lie between 294 and 686, expressed as (294, 686). Since 95% of the scores are between 294 and 686, this leaves 5% of the scores outside this interval. Since a normal curve is symmetric, one-half of the scores, or 2.5%, are at each end of this distribution. To find where 99% of scores lie,Z  ± 2.58 (SD), where 490 + 2.58 (100) = 748  and 490 2.58 (100) = 232. Thus, 99% of the SAT scores lie between 232 and 748, which is expressed as (232, 748). Since the distribution of these scores is normal, 99% of the scores are between 232 and 748 and 0.5% of the scores are at each end of this distribution. FIGURE 18-2 ft Distribution of SAT Scores SD=100 x = 490 Mean RESEARCH ARTICLE Source: Corless, I. B., Nicholas, P. K., McGibbon, C. A., Wilson, C, (2004). Weight change, body image, and quality of life in HIV disease: A pilot study. Applied Nursing Research 77(4), 292-6. Introduction The purpose of this pilot study [conducted by Corless and colleagues (2004)] was to investigate the relationships of weight change, body image, length of time with HIV/AIDS diagnosis, and quality of life in individuals with HIV disease (Corless et al., 2004, p. 292). The sample consisted of 40 subjects: 23 men and 17 women. The HIV-positive adults in a primary care clinic were asked to participate, so this study has a sample of convenience. The participants reported an increase in weight, greater than their ideal weight. The body image scores were found to be significantly higher for women, with the HIV-positive participants having slightly higher body image scores. A survey and Medical Outcomes Study-HIV (MOS-HIV) instruments were used as measurement methods for this study. The results indicated that when a persons weight is higher and closer to his or her ideal, HIV-positive individuals exhibit better quality of life. Thus, education of clinicians and individuals living with HIV/AI DS should focus on the assessment, management, and evaluation of weight change during the course of HIV disease (Corless et al., 2004, p. 292). Relevant Study Results The sample consisted of 23 men with a mean age of 42.2 years (SD = 8.2), length of time since diagnosis with HIV was 9.2 years (SD = 5.3); and 17 women with a mean age of 36.8 years (SD = 5.2), and length of time since diagnosis with HIV was 7.2 years (SD = 4.8). For men, 23 were HIV-positive and 9 had a diagnosis of AIDS; and for women, 17 were HIV positive, and 5 had a diagnosis of AIDS. There was no significant difference in demographic characteristics of the sample by age, gender, HIV disease status, and time living with HIV. Class: Name: Date: EXERCISE 18 Questions to be Graded 1. Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between (-53.68, 64.64), where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. 2. Which of the following values from Table 1 tells us about variability of the scores in a distribution? a. 60.22 b. 11.94 c. 22.57 d. 53.66 3. Assuming that the distribution for General Health Perceptions is normal, 95% of the females scores around the mean were between what values? Round your answer to two decimal places. 4. Assuming that the distribution of scores for Pain is normal, 95% of the mens scores around the mean were between what two values? Round your answernto two decimal places. 5. Were the body image scores significantly different for women versus men? Provide a rationale for your 138 EXERCISE 18 Mean, Standard Deviation, and 95% and 99% of the Normal Curve 6. Assuming that the distribution of Mental Health scores for men is normal, where are 99% of the mens mental health scores around the mean in this distribution? Round your answer to two decimal places. 7. Assuming that the distribution of scores for Physical Functioning in women is normal, where are of the womens scores around the mean in this distribution? Round your answer to two decimal places. 8. Assuming that the distribution of scores is normal, 99% of HIV-positive body image scores around the mean were between what two values? Round your answer to two decimal places. 9. Assuming that the distribution of scores for Role Functioning is normal, 99% of the mens scores around the mean were between what values? Round your answer to two decimal places. 10. What are some of the limitations of this study that decrease the potential for generalizing the findings to the target population?

Argumentative Essay: Violent Video Games Contribute to Youth Violence

Our nation has changed over the years. There is no question about that. The generation that my grandfather grew up in during the 1930’s and 1940’s has often been called â€Å"The Greatest Generation† (Brokaw). Why is my generation not talked about for our inventions and advances in technology? Maybe that the downfall of our generation has been the media and the influence it has on the public? There is no doubt that the media can spin a story into a shocking and scary account produced solely on the intent to sell. This information force-fed to the public can cause fear and hatred to develop within our country and result in gun violence and bloodshed. One reason for the amount of youth violence in America is the violent content in many video games. The average adolescent spends a major part of the normal week watching or interacting with some form of the media’s products. Video games are one of these media based mediums and have become increasingly popular since the 1980’s. According to a report in Archives of Pediatrics & Adolescent Medicine, "Female gamers spent an average of 44 minutes playing on the weekdays and one hour and four minutes playing on the weekends, and male gamers spent an average of 58 minutes playing on the weekdays and one hour and 37 minutes playing on the weekends" ("Video Game Play Among Adolescents"). What can we understand from this evidence? The fact is that adolescents, male or female, are spending tremendous amounts of time each day sitting in front of a screen with a controller in hand. Although there is little evidence to conclude that violence in video games directly leads to adolescent gun violence, there are proven studies that show increased levels of anger and aggression in the human brain when... ...Federal Trade Commission. â€Å"Results of Nationwide Undercover Survey Released.† Oct. 2003. Mar. 2008. JAMA and Archives Journals. "Study Examines Video Game Play Among Adolescents." ScienceDaily 4 July 2007. 19 March 2008 . Kleck, Gary. â€Å"Targeting Firearms.† Aldine de Gruyter. 1997, pp. 94, 98-100 Mathews, Vincent.†Violent Video Games Poison the Teenage Brain: Study.† American School Board Journal. Feb2007, Vol. 194 Issue 2, p10-10 Norcia, Andrea. "The Impact of Video Games on Children." Palo Alto Medical Foundation Apr 2007 20 Mar 2008 . â€Å"Violent Video Games – Psychologists Help Protect Children from Harmful Effects.† Psychology Matters. Mar. 2008 Woodard, E.H. & Gridina, N. â€Å"Media in the Home 2000, The fifth annual survey of parents and children.† The Annenberg Public Policy Center of the University of Pennsylvania. Philadelphia, PA. Feb 2001. 20 Mar 2008 .

Book Report on Pigeons at Daybreak Essay

The story entitled â€Å"Pigeons at Daybreak† by Anita Desai of India is a representation of love and acceptance. Mr. Basu is the man who is unable to perform his task on his own because of the different illnesses that developed into his body. Otima, the wife of Mr. Basu has the selfless love towards him. She takes care of her husband despite of all the problems and complications that emerged in their situation. Otima used to read the newspaper for Mr. Basu. Because Mr. Basu could not able to read the newspaper due to poor eyesight, Otima produced deeper patience and love for her husband.   Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   From the time when their house had no electricity due to electric problems, the two went to the terrace and decided to stay there until the electricity comes back but when the electricity went back, Mr. Basu refused to go back inside the house for it was the time of preparation of leaving. Mr. Basu accepted the fact that his life will soon vanish and become part of heaven. The pigeons in the terrace where Mr. Basu died symbolize his spirit and his journey in the next life.   Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   The story is simple yet attackable. Its tragic situation brought life to the whole story. Then, with a swirl and flutter of feathers, a flock of pigeons hurtled upwards and spread out against the dome of the sky – opalescent, sunlit, like small pearls (Desai 228). This ending part of the story compressed the entire claim of the story. It means that the ending of the story signifies life as its wondrous creation but soon will end because every one of us will leave the world in beauty and a new journey will begin. Reference Desai, A. (date). Pigeons at Daybreak. pp.220-228

What Legacy Did Alexander the Great Leave Behind - 933 Words

Alexander the Great’s actions and decisions have significantly impacted upon the world during his time, ultimately leaving behind a legacy that can be affiliated with the westernization of the globe. He helped bring the western civilization, which included the scientific and liberal thinking of the Greeks to much of the rest of the world. He introduced a study of science for science’s sake to the nations and he is also considered as one of the most successful military commanders in history, for by the time of his death he had conquered most of the world known as Ancient Greece. However, his greatest achievement – which is to this day debated by scholars all over the globe – is his role in cultural diffusion. Contemporary scholars have†¦show more content†¦Alexander never wasted time. He always arrived before his enemies expected. His men followed him for more than 21,000 miles because they believed he had their best interests in mind. They always counted on him to lead them to victory after victory and he never failed. On the basis of military conquest, contemporary historians and especially those writing in Roman times who measured success by the number of human bodies left on the battlefield deemed him ‘great’. Professor Wright explains, â€Å"In the history of our European civilization four names stand out from all other: Alexander, Julius Caesar, Charles the Great, Napoleon. All four were so superior to the ordinary level of human capacity that they can hardly be judged by common standards. †¦ Alexander, both in his works and in his character, is entitled to the first place. †¦ He was the fine flower of Greek civilization †¦ the effects of his conquests in widening the horizon of men’s minds can only be compared with the discovery of America.† Before Alexander the world was a mesh of comparatively isolated and insular empires. 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