Thursday, June 6, 2019

Sampling and Data Collection Plan Essay Example for Free

Sampling and Data Collection Plan EssayTeam D has chosen to go through into whether or not should pear Inc. should start putting their resources into either Laptops or tablet electronic devices. Putting resources into a venture that may or not pan come on could be detrimental to that same company. As an example Kodak and their choice not to expand into digital, something they created, and stay the course with their polyurethane film (Mui, 2012).In the end the choice the usual made was to go to digital and have the im grow saved for ever instead of the inevitable fading of pictures and the breakdown of the film making Kodak play catchup. Population, Size, and chumpWhen considering of finding the population we have chosen social media for all sexes, ages, financial, and country demographics. The reasoning behind the choice is Pears product utilizes this source of media in particular. In carryition social media is heavily used by the same people who frequent these sites. The sampling would reflect on Pears channelize audiences assisting in the choice of which direction to go with Pears resources. It determining size team D would like to obtain a min of 10% of the population of random sampling. Due to the time limit restraint of the weeks leading up to week 4 team D would like to see a 300 individual response to the choices of our chosen sampling element. Sample ElementTeam D had talked about data mining, survey source, and observation. Data mining would involve to anticipate at the sales of both the Pear Book and the Pear Pad in a given business organization cycle of the most on-going year (Stat Soft, 2014). This is due the fact technology is growing so fast looking at data, even one year ago, may provide ludicrous data in which put Pear on a different direction then it should be taken. Also data mining would only reply the direction the company is being taken too by the market and not determiningor understanding the cause of the direction. Data mining is withal a form of observation. Pear could send out certain employees to different electronic store, web sites, chat rooms, or to any form of commerce to look at the all sales both Pears and its competitors, however still wouldnt answer the question of where to place Pears resources.Pear must determine to logically and have firsthand knowledge of what people are thinking about before they go and purchase. What are their choices and needs to be filled when using their chosen electronic device. Personal lives continue to change. Meaning people might be going to college, High School, into video gaming, or solely in need a device as a medium of entertainment. Pear has chosen to perform a targeted survey in which 9 questions would be asked. The survey would ask if they were to look for electronic devices today what they would be looking for. Additional questions would be askedAgeIncomeLaptop or tabletGender enjoyment (business, pleasure, or both)Video gamingHow much time on dev ice (laptop or tablet)Prices of either Laptop or tabletIs brand type seriousStorage capacityUsing the survey is putting the trust in the individual to answer the questions truthfully and accurately. However the moment the individual steps into the business or orders their device their mind may be changed at the point of sale. If there is a change this is the degree of variance and would be used in the confidence makeup of the sampling.We hope to have a 95% acucuracy. If we only have 300 answered surveys and we wanted to look at the age of those surveyed we would take the age range and find the mean. As an example let call the mean 26.7, then we would find out the standard deviation of those surveyed and receive 2.5. Then we would look to find the 95% interval of 1.96. I would calculate the formula of 1.96(2.5/sq root of 300) and receive the answer of .28 (rounded to thenearest tenth). Then I would take the mean of 26.7and add or subtract .51, (26.7+/-.51) the results are 26.42,26.9 8.In conclusion Team D would conduct a survey on an established social media site on the internet. Total the number of responses hoping to have at least 300 or more. The reliable information would need to be trusted because the questions are granular and generic enough to not have personal information. So protection would only be how many persons answered the question and nothing personable. Storage of the data would be tidings protected.ReferencesMui, C. (2012). How Kodak Failed. Retrieved on October 9, 2014 from http//www.forbes.com/sites/chunkamui/2012/01/18/how-kodak-failed/SHMA (2012). 4 Types of Consumer Buying Behavior. Retrieved on October 9, 2014 fromhttp//managementation.com/4-types-of-consumer-buying-behavior/ Stat Soft (2014). What is Data Mining (Predictive, Analytics, Big Data). Retrieved on October 9, 2014 from http//www.statsoft.com/Textbook/Data-Mining-Techniques

No comments:

Post a Comment

Note: Only a member of this blog may post a comment.