Q: marked up of Php 200 an
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- Timischoosingbetweentwocellphoneplansthatofferthe sameamountoffreeminutes.Cingular’splancharges$39.99 permonthwithadditionalminutescosting$0.45.Verizon’s plancosts$44.99withadditionalminutesat$0.40.How manyadditionalminutes,a,willittakeforthetwoplansto costthesame?A company studied the number of lost-time accidents occurring at its Brownsville, Texas, plant. Historical records show that 6% of the employees suffered lost-time accidents last year. Management believes that a special safety program will reduce such accidents to 5% during the current year. In addition, it estimates that 15% of employees who had lost-timeaccidents last year will experience a lost-time accident during the current year. a. What percentage of the employees will experience lost-time accidents in both years?b. What percentage of the employees will suffer at least one lost-time accident over the two-year period?Studies show that about 18 percent of all businesses in the United States are minority-owned.Brian lives in Centerville, a town with a population of 25,000 and 200 businesses. Assuming that the national percentage holds true for the businesses in Centerville, how many of these are minority-owned?
- Razor LLC has a data warehouse that is used by several analytics groups. The data warehouse consists of a number of distinct components, including a cloud server (99.999% availability), a database management system server (99.4%), an analytics logic server (94.7%), and, of course, the network infrastructure to the cloud server, which has an availability of 99.9%. What is the overall availability of the system, expressed as a percentage with three digits of precision? For example, enter 91.223, but do not enter a percent symbol, i.e., do not enter 91.223%In 2010, the U.S. Congress passed the historic health care reform bill that will provide some type of coverage for the 32 million Americans currently without health care insurance. Just how widespread is the lack of medical coverage? The media claim that the segments of the population most at risk for disease and thus needing healthcare are women, children, the elderly and the poor. The following tables were generated from the U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement (2011). The tables report the number of uninsured (in thousands) by sex, by age, and by household income. Is being insured or not dependent on gender? Fill in the degrees of freedom and p-value in the output below and draw a clear conclusion indicating which gender is more at risk of not being insured if there is a significant difference.In 2010, the U.S. Congress passed the historic health care reform bill that will provide some type of coverage for the 32 million Americans currently without health care insurance. Just how widespread is the lack of medical coverage? The media claim that the segments of the population most at risk for disease and thus needing healthcare are women, children, the elderly and the poor. The following tables were generated from the U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement (2011). The tables report the number of uninsured (in thousands) by sex, by age, and by household income Is being insured or not dependent on the age groups identified in the analysis? Fill in the degrees of freedom and p-value in the output below and draw a clear conclusion indicating which age-groups are more at risk of not being insured if there is a significant relationship
- In 2010, the U.S. Congress passed the historic health care reform bill that will provide some type of coverage for the 32 million Americans currently without health care insurance. Just how widespread is the lack of medical coverage? The media claim that the segments of the population most at risk for disease and thus needing healthcare are women, children, the elderly and the poor. The following tables were generated from the U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement (2011). The tables report the number of uninsured (in thousands) by sex, by age, and by household income Is being insured or not dependent on the income groups identified in the analysis? Fill in the degrees of freedom and p-value in the output below and draw a clear conclusion indicating which income-groups are more at risk of not being insured if there is a significant relationship.In nursing, we seldom know the true values or percentages of many illnesses or syndromes. For example, if we were asked how many people contracted a particular strain of flu during a year then we could give estimates but not the true count. Not everybody went to the doctor or emergency room. Most probably did not get a test to determine the particular strain of the flu. Sometimes we just deal with estimates. For example, in a survey done in November 2018, 43% of people in the United States had been vaccinated against the flu with 3.9% margin of error with 95% confidence ("News Scan for Dec 06, 2018", 2018). This would allow us to create a confidence interval: lower bound = 43% - 3.9% = 39.1% upper bound = 43% + 3.9% = 46.9% so we are 95% confident that the true percentage of individuals that got vaccinated is between 39.1% and 46.9%. Find at least two examples of confidence intervals on the internet. you can search for "95% confidence", "Margin of Error", or even "confidence…suppose 15 percent of the computers in some university labs are defective
- A survey reported that 10% of 1800 employees favored a new insurance program. How many employees favored the new program?A friend of yours tells you that they heard that 65% of all college athletes end up losing a finger or toe in their college athletic career. You're highly skeptical of this, but your not sure if that percentage is an over exageration or an under exageration. You survey 101 former student-athletes and find that 60 of them lost a digit during their college athletic career. Is this enough evidence to conclude that the true percentage of student-athletes that lose a digit during their collegiate career is really different from 65%?Politifact reported that on September 29, 2015, Cecile Richards, then president of Planned Parenthood, was testifying before Congress. Rep. Jason Chaffetz (R, Utah) accused Ms. Richards of misusing the $500 million in annual funding that her organization receives from the federal government. Congressman Chaffetz presented the following chart from Americans for Life. He explained, “In pink, that’s the reduction in the breast exams, and the red is the increase in the abortions. That’s what’s going on in your organization?” Here is the chart: PlannedParenthood.png Does this chart present an honest representation of the data, or is it misleading? Explain your answer. If this chart misleading, are the congressman and the Americans United for Life (the creators of the chart) knaves or fools?
