Data from a 20-yr study show the number of new AIDS cases diagnosed among 20- to 24-yr- AIDS Diagnoses, Adolescents (20-24 yr) 1985-2005 3000 (7, 2660) 2500 2000 1500 1000 (14, 1307) 500 0. 10 15 20 Year (x 0 represents 1985) %3D Number of New Diagnoses
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Approximate the intervals over which the number of new aids cases among 20 to 24 year olds increased. Write the answer as an interval. Separate multiple intervals with commas if necessary.
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- in agenetic experiment on peas one sample of offspring contained 366 green peas and 428 yellow peas based on those results estimate the probality of getting an offspring pea that os green is the result reasnably close to the value of 3/4 that was expectedA study investigated survival rates for in-hospital patients who suffered cardiac arrest. Among 58,593 patients who had cardiac arrest during the day, 11,604 survived and were discharged. Among 28,155 patients who suffered cardiac arrest at night, 4,139 survived and were discharged (based on data from “Survival from In-Hospital Cardiac Arrest Durign Nights and Weekends,” by Peberdy et al., Journal of the American Medical Association, Vol.299, No. 7). We want to use a 0.01 significance level to test the claim that the survival rates are the same for day and night. Test the claim using a hypothesis test. Test the claim by constructing an appropriate confidence interval. Based on the results, does it appear that for in-hospital patients who suffer cardiac arrest, the survival rate is the same for day and night?In a study of 420,148 cell phone users, 136 subjects developed cancer of the brain or nervous system. Test the claim of a somewhat common belief that such cancers are affected by cell phone use. That is, test the claim that cell phone users develop cancer of the brain or nervous system at a rate that is different from the rate of 0.0340% for people who do not use cell phones. Because this issue has such great importance, use a 0.005significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. Use the P-value method and the normal distribution as an approximation to the binomial distribution. 1. What is the test statistic? z= _____ (Round to two decimal places as needed.) 2. What is the P-value? P-value= _____ (Round to four decimal places as needed.) 3. What is the conclusion on the null hypothesis?…
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- A study at UNG divided female graduate students into three groups and had the students perform as many push ups as possible in 60 seconds. The first group was told nothing, the second group was told to “Try as many as possible,” while the third group was told to try and increase their number each day by 5%. After a week, the number of push ups completed by each group was recorded. This is an example of an ____________________ study. A. Experimentalor B. ObservationalOne of the issues facing organizations is increasing diversity throughout an organization. One of the ways to evaluate an organi- zation's success at increasing diversity is to compare the percentage of employees in the organization in a particular position with a specific background to the percentage in a particular position with that specific background in the general workforce. Recently, a large academic medical center determined that 9 of 17 employees in a particular position were female, whereas 55% of the employees for this position in the general workforce were female. At the 0.05 level of significance, is there evidence that the proportion of females in this position at this medical center is different from would be expected in the general workforce?A five year study was conducted among 5,000 men older than 65 years to examine the relationship between heavy alcohol consumption and the onset of atrial fibrillation. The men were assessed each year. Men who drank heavily contributed a total of 12,500 person-years of observation and 250 of those who drank heavily developed atrial fibrillation. A total of 24,000 person-years were observed for the entire study. And 100 men who did not drink heavily developed atrial fibrillation. What was the incidence density among heavy drinking men? What was the incidence density among non-heavy drinking men? What was the rate ratio and interpret ?