1. Determine whether the evaluated group is a population or a sample
A. Based on a randomly selected group of 500 patients with high cholesterol, it was found that 67% have heart disease. Is this a population or a sample; explain your answer.
Answer: The evaluated group of 500 patients within this study is considered to be a sample. The 500 patients whom possess high cholesterol are comprised of the larger group of patients of which serve holistically as the population. The 500 patients randomly selected from the total population with high cholesterol of which 67% were found with heart disease constitute as the sample.
B. An investigation of 150 randomly selected local restaurants concluded that 42% of local restaurants have serious health code violations. Is this a population or a sample; explain your answer.
Answer: The fact that an investigation of local restaurants was conducted in which 150 were selected randomly indicates that this is a sample. This sample indicates that out of the 150 randomly selected, 42% of this random selection out of the total population of restaurants possessed series health code violations.
2. Determine whether the given value is a statistic or a parameter.
A. A researcher determines that 42.7% of all downtown office buildings have ventilation problems. Is this a statistic or a parameter; explain your answer.
Answer: The identification of 42.7% of all the downtown office building of which possess ventilation problems serves as the population parameter. A population parameter is understood as the numerical identification of which is utilized in order to describe specific features given towards the population (Bennett, Briggs, & Triola, 2014).
Within this example, t...
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... The routine conversation that is usually conducted when we gather together is concerning the inflated price of milk of which has transpired within the last ten years. With possessing a small child the need for the consumption of milk is not considered an optional luxury but a necessary commodity for small children and their overall development. With inflated prices on necessary commodities, such as milk, for many young families produces an enormous financial burden with monthly demands of milk. Dealing with this issue of inflation is an extremely difficult issue to bring a conclusive solution towards however, the article makes a good point in sharing that there is a vital need to reexamine the present system.
Works Cited
Bennett, J., Briggs, W., & Triola, M. (2014). Statistical reasoning: For everyday life (14th ed.). Boston: Pearson Education, Inc.
The final chapter of this book encourages people to be critical when taking in statistics. Someone taking a critical approach to statistics tries assessing statistics by asking questions and researching the origins of a statistic when that information is not provided. The book ends by encouraging readers to know the limitations of statistics and understand how statistics are
The current Production Capacity is Low to face the upcoming competition-The dairy currently produces 10000 liters of milk per day even after 30 years of presence in the market. This will certainly affect the chances to take advantage of the current growing market and to manage the consumption cycles of the industry. The question of whether to decide on the expansion of production capacity: With an incredible growth expected in the industry, the issue that the management faces now is, whether to increase the production capacity or not. This is very much needed as the expansion of production capacity will equip the company to supply and cater to the demand as well as attain economies of scale, which can be used as a competitive advantage against the new entrants. However, this calls for capital investments on the assets required for expansion.
In order to calculate/conclude their hypothesis they had to run an experiment by finding children to participate in the study. They found eight children, among this group they had five males and three females participating. The children were observed from the age of six months old all the way to when
Oh, how I was wrong! When we were given an assignment to defetishize something, I realized my ignorance and decided to find out the truth about Dairyland Milk, my milk of choice. This paper is my journey from my small Kitsilano apartment building to the cow that potentially produced my milk in an effort to think of milk not only as an easily available healthy drink, but as an embedded set of geographical and social processes. Much to my astonishment, the production of milk involves much more than just the udder. I drink milk at home mainly just for tea and cereal, to be honest, I?ve never really loved just having a glass of it- even with a cookie.
In the example above, the survey needed not only to be expanded but diversified. By including the women and other workers, you make the statistics more accurate because it represents the TV watching habits of ALL the company’s employees. However, if the company is very large, it would be difficult to interview every single employee. The solution to this problem is called random representative sampling.
5. The total should read a closer figure such as 2,450,000 since the actual count is 2,448,228. The figure should show the year of the survey, since I know from the news that people have died from the bird flu and mad cow disease. (Pandemic101, 2011) and (Mehta,
Bennett, J., Briggs, W., & Triola, M. F. (2014). Statistical reasoning for everyday life . (4th ed., pp. 237-273). Boston, Ma: Pearson.
My survey was open to anyone who was above the age of 18 because the topic of eating out can apply to almost everyone regardless of certain demographics. The survey was open for five days and I collected a total of 25 responses. Twenty four (96%) participants were between the ages of 18 and 25. One (4%) participant was between the age of 26 and 35. Out of all the respondents a total of twenty (80%) have incomes that are less than $25,000 a year. The other five (20%) respondents have incomes that range from $25,000 to $50,000 a
Representativeness occurs when researchers use participants with similar characteristics as the target population. This is known as having a representative sample (Classroom notes, 2015). An example of representativeness is when researchers are investigating smokers' attitudes towards the smoking ban in cars with children under the age of 18. Researchers would use participants who smoke because it applies to them and not non
I currently work for an Occupational Health Clinic at a research hospital, therefore nearly everything we do is related to collecting data and measuring outcomes. One sample that is measured is related to employees who develop occupational asthma because of exposure to animals in the research labs. Using a Redcap animal allergy survey, we take a random sample of employees who are identified as having
I will survey 50 students in the Jester West Dormitory on the third floor in the morning between the hours of 8am and 9am, when most of the residents are awake. I will create an online survey and survey people through the means of technology. On the top of the screen there will be the following question: Do you as a resident of Jester West (3rd floor) acknowledge the hall’s maintenance staff? There will then be the three following choices to answer this given question: 1) Yes, I acknowledge the maintenance staff 2) No, I do not acknowledge the maintenance staff 3) I do not see the maintenance staff. After all the data has been collected, I will tally up the number of students within each of those categories, divide it by 50 (the total number of students surveyed) and convert my findings into percentages. These percentages will allow me to clearly analyze my data by comparing and contrasting the different hypotheses within one set of data. which enables there to be a clear comparison between the different
In order to get a more representative sample, I decided not to survey at CSUSM but at the mall where my sample population would consist of people other than students. Before handing people the survey I asked them two simple questions: Are you a licensed driver? and Do you consume alcoholic beverages? To those that answered yes to both questions, I passed out the following survey:1.
This chapter taught me the importance of understanding statistical data and how to evaluate it with common sense. Almost everyday we are subjected to statistical data in newspapers and on TV. My usual reaction was to accept those statistics as being valid. Which I think is a fair assessment for most people. However, reading this chapter opens my eyes to the fact that statistical data can be very misleading. It shows how data can be skewed to support a certain group’s agenda. Although most statistical data presented may not seem to affect us personally in our daily lives, it can however have an impact. For example, statistics can influence the way people vote on certain issues.
The Collier Encyclopedia’s definition for probability is the concern for events that are not certain and the reasonableness of one expectation over another. These expectations are usually based on some facts about past events or what is known as statistics. Collier describes statistics to be the science of the classification and manipulation of data in order to draw inferences. Inferences here can be read to mean expectations, leading to the conclusion that the two go hand in hand in accomplishing what mankind has tried to accomplish since the beginning of time – predicting the future. It is the notion of science that this is the most accurate way to predict events yet to occur and this has lead to it being the most widely accepted “fortune telling'; tool in the world today.