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- A government study found that people who eat chocolate frequently weighless than people who don’t. Researchers questioned 1000 individuals fromCalifornia between the ages of 20 and 85 about their eating habits, andmeasured their weight and height. On average, participants ate chocolatetwice a week and had a body mass index (BMI) of 28. There was anobserved difference of five to seven pounds in weight between those whoate chocolate five times a week and those who did not eat any chocolate atall, with the chocolate eaters weighing less on average. Frequent chocolateeaters also consumed more calories, on average, than people who consumedless chocolate. Based on this summary, would you recommend thatAmerican’s who do not presently eat chocolate, consider eating chocolateup to five times a week if they want to lose weight? Why or why not?Explain.Rr4Please don't give plagarised statements
- CASE STUDY: #2 In August 2000, a young woman from Gozo, an island south of Italy, discovered that she was carrying conjoined twins. Knowing that health-care facilities on Gozo were inadequate to deal with the complications of such a birth, she and her husband went to St. Mary’s Hospital in Manchester, England, to have the babies delivered. The infants, known as Mary and Jodie, were joined at the lower abdomen. Their spines were fused, and they had one heart and one pair of lungs between them. Jodie, the stronger one, was providing blood for her sister. No one knows how many sets of conjoined twins are born each year, but the number has been estimated at 200. Most die shortly after birth, but some conjoined twins do well. They grow to adulthood and marry and have children themselves. But the outlook for Mary and Jodie was grim. The doctors said that without intervention the girls would die within six months. The only hope was an operation to separate them. This would save Jodie, but…Define posttestingAtleast 5
- Draw and compare lorenz curves for the given array of population, 20% from the population strata given. Population of country A from poorest to richest has income shares of 8%, 13%, 15%, 23% and 41% while the country B has 8%, 10%, 13%, 25% and 44% respectively. Looking at both results what can be inferred? Calculate GINI Coefficient as wellI need help on 13, 14, and 15data analysis, please show work Here is a table showing the approximate breakdown of blood types in the United States: Blood Type: A B AB O P(Blood Type in US) 0.43 ? 0.03 0.46 Here is a table showing the approximate breakdown of blood types in the United Kingdom: Blood Type: A B AB O P(Blood Type in the U.K.) 0.37 0.1 0.04 0.49 For all questions below, you may assume that the blood type of an individual in the US and the blood type of an individual in the UK are independent of each other. If you were to choose one person at random from the US and another person at random from the UK, what is the probability that they will both have blood type A? If you choose a person at random from the US and a person at random from the UK, what is the probability that neither will be of blood type O? If you choose three people at random from the US, what is the likelihood that none of them are of blood type B? If you choose two people at random, what is the probability that both…
- Year Month GOIL December 0.241667 2011 January 0.258333 February 0.258333 March 0.25 April 0.258333 May 0.266667 June 0.258333 July 0.258333 August 0.266667 September 0.266667 October 0.266667 November 0.258333 December 0.266667 2012 January 0.266667 February 0.266667 March 0.283333 April 0.316667 May 0.391667 June 0.408333 July 0.433333 August 0.45 September 0.458333 October 0.5 November 0.516667 December 0.516667 2013 January 0.566667 February 0.741667 March 0.866667 April 1.125 May 1.166667 June 1.041667 July 0.691667 August 0.725 September 0.75 October 0.75 November 0.775 December 0.89 2014 January 0.89 February 0.77 March 0.81 April 0.89 May 0.9…18. What is the type of sample statistic that is used to make inferences about a given type ofpopulation or parameter?A. Confidence interval of that parameterB. Confidence level of that parameterC. Estimator of that parameterD. Point estimate of that parameter 20. As the number of subjects in a trial increase, the _____.A. Clinical relevance increasesB. The confidence interval decreasesC. The number needed to treat increasesD. The power of the study decreases 49. All of the following is true regarding incidence, EXCEPT:A. Every person in the numerator must have the potential to become one of the people in thedenominator.B. For the denominator, we have the number of people at risk for the disease during aspecified time period.C. For the numerator, we indicate the number of new cases of a disease during a specifiedtime periodD. Measures of disease frequency needed to generate evaluation of the association betweenexposure and outcome