Sampling and SurveysTask Background: As you begin this course, one question that may come to mind is “What is statistics?” In a media-driven society, you probably encounter statistics all the time. For example, you turn on your local news to watch the weather and you hear the statement ,”There is a 60% chance of rain in the forecast today,” or you drive past a billboard that reads “Our cellular network covers over 92% of customers across the globe.” Statements such as these are examples of statistics. In this Discussion Board, you will explore concepts to help define statistics.Please discuss the following concepts in your own words. Be substantive and clear, and use examples to reinforce your ideas: One of the main goals of a statistics is to collect data and use that data to draw meaningful conclusions. There are 2 types of data used in statistics: population data and sample data. Define population and sample in your own words. Explain the relationship between the sample and population. Why is a sample used more often than a population? Find a newspaper article or research online to find a survey that captures your interest. Provide a brief overview of the survey. Identify the sample and population used in the survey. Describe the method for collecting the data in your survey. Be sure to cite your source.

Population & Sample Answer 1: The population could be defined as the group of people with same characteristics, which is studied by the researchers to collect data and to drive some meaningful conclusions. In other words, it could be defined as the collection of well defined individuals or objects, which are studied to solve some scientific queries (DeFusco, et.al, 2011). Sample could be defined as the proportion of population or its all characteristics. It is the selected group, which has same characteristics that the population chosen for study have. In other words, it is the subset of population, which represent the entire population (Vaus, 2002). Sample allows the researcher to eliminate his/her inability to test all the people in the given population. It is because sample is the representative of all population, which allows the make a conclusion for all people in population on the basis of sample. The population helps the researcher to determine the target participants, while sample helps the researchers to identify the group from population, which effectively represents all population (DeFusco, et.al, 2011). There is a give and take relationship between population and sample. As population gives sample and takes conclusion. If the samples are not taken, it would be difficult for researchers to study the population and derive effective conclusions as these results could not be applied to entire population.

 

It also saves time of the researcher, which is the reason for taking samples more than population (Vaus, 2002). Answer 2: The survey was conducted by Jenny Dean to gain the understanding for the use of Smartphone among college students. This survey was taken how students use their phones. For this the population selected is the students from different universities of USA, who have phones with them. For this, sample size is divided in two categories; one is students with smart phones and second is students with featured phones. In the population, all the students from different universities around US are taken and then 517 students (272 with Smartphone and 242 with featured phones) are selected from University of Colorado and other colleges and universities in US (Dean, 2010). For collecting the data in survey, snow ball technique was used in which selected educators were allowed to forward e-mail to colleagues for inviting their students to take participation in survey. It helped to increase sample size. The answer of questions from students is also collected through mails.

 

The answer data was kept separated from e-mail address, which helped to keep the privacy of participants (Dean, 2010). It helped to collect data from survey without any conflict. References Dean, J. (2010). Smartphone User Survey: A glimpse into the mobile lives of college students. Retrieved from: http://testkitchen.colorado.edu/projects/reports/smartphone/smartphone-survey/ DeFusco, R.A., McLeavey, D.W., Pinto, J.E. & Runkle, D.E. (2011). Quantitative Investment Analysis (2^nd ed.). USA: John Wiley & Sons. Vaus, D.A.D. (2002). Surveys in Social Research (5^th ed.). USA: Routledge.

 

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