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Random sampling conclusion
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CASE II 1. Is it proper to multiply the average order size, $42.33, by the number of addresses (1,300,000) in the target mailing? Even though the case prompt mentions that the sample is random, it is random only for the subset of 600,000 addresses of well-off people who purchase luxury items by mail. That subset of 600,000 might not represent the total 1,300,000 address that the Catalog company is trying to reach out to, specially since the 600,000 address were chosen particularly due to their affinity towards purchasing items online. For a more realistic estimate of yearly sales, the average should be multiplied solely by the number of address where the sample was taken from (600k). 2. Is it better, as suggested, to multiply the endpoints of the confidence interval by the target mailing size? …show more content…
They want to answer the question of how much money there is to be made based off a sample size. In order to do that they should scale up this prediction to a real life scale in order to achieve their goal. 3. Would it be better to multiply by the size of the frame used to select the random sample? If I understand this question right, it is asking about whether we should multiply by the avg. by the number of addresses in the subset where the random samples were taken from (600k, not the 1.3M). If we are considering the 1.3M, then the sample would not be random, it would be systematically chosen and that defies the purpose of using statistical analysis. By not choosing numbers randomly, we introduce error to the analysis. 4. Should anything else trouble you about this situation? Not a random sample. They sampled “well-off people”. That subset of people may be the most likely to purchase, but they aren’t the only ones who can/would purchase their
In Tim Seibles' poem, The Case, he reviews the problematic situations of how white people are naturally born with an unfair privilege. Throughout the poem, he goes into detail about how colored people become uncomfortable when they realize that their skin color is different. Not only does it affect them in an everyday aspect, but also in emotional ways as well. He starts off with stating how white people are beautiful and continues on with how people enjoy their presence. Then he transitions into how people of color actually feel when they encounter a white person. After, he ends with the accusation of the white people in today's world that are still racist and hateful towards people of color.
The compiled information comes from a very small portion of the population in the USA and Canada, which could lead to bias responses as these people know they are being measured.
shows that in when they started taking data over 45.5% of teenagers surveyed had tried
Research My first research experience took place from the Fall 2012 – Summer 2013 in a neurobiology laboratory (Dr. Daniel Plas) focused on Parkinson’s Disease. In this project an undergrad student and I were tasked with optimizing a cellular medium for neural growth of the model organism Lymnaea stagnalis. This was comprised of following established protocols and altering certain variables within the formulas (differing concentrations of ions, pH, et al.) to observe growth pattern differences in vitro.
To get my primary data I will be using a random sampling. To do this I
- The second method I will use is calculating probabilities by the use of conditional probability.
The sample mean was calculated by dividing the sum of the observation values by 10, or the number of observations. For opening weekend sales, a sample mean of the 10 chosen movies was $30.17 million. Total gross sales of all sampled films held a mean of $95.803 million. The two figures could allow a reader to draw a general conclusion that for a majority of the films, approximately 31.5% of total gross sales were made during a film’s debut weekend. The average number of theaters in which a movie was released is 2,482.4. A sample mean of 13.9 was calculated using the number of weeks the sampled movies were in the top 60 films.
The materials needed to conduct this experiment included 3 to 4 cans of store brand diet coke and name brand Diet Coke, a sharpie, small Dixie cups, and cardboard trifold. The experiment was set up as a single blind experiment. The administrators knew what Dixie cups contained the name brand coke and what Dixie cups contained the store brand, while the taste testers did not. First, the store brand and the name brand had to be assigned either Z or Y using the Bernoulli distribution. To make sure the assignments were random a computer generator was used through the stat crunch program. The Bernoulli parameter used for this Bernoulli distribution was 0.5. This means that there is an equally likely chance of getting a 0 or a 1 as a result. If the result was 0 the bargain brand would be called Y and the name brand would be called Z. If the result was 1, the bargain brand would be called Z and the name brand would be called Y. This made sure that the participants did not know which coke they were
hand I would have chosen a sample of 100 cars of about 20 being picked
Another way to apply data that has been summarized would be to calculate probability. If one wanted to find out the probability that a doctor would spend over 31minutes with one of the simulated 38 overweight patients, then you could by dividing the number of simulated patients who had a doctor indicate they would spend more than 31 minutes with them by the total number of patients (2/38 = 0.0526 or 5.26%). One can even find the same probability from the same set of data if a normal distribution is assumed (p=0.258) (Lane, D., n.d.).
There is a very small risk that some of the data I collected could be
General indicators from the survey reflect a preference to the Springdale Mall for shoppers, even when evaluating the smallest demographic group in the sample population. The West Mall continues to rate on the lowest end of the survey with shoppers, below the Downtown Area. Using a 95% confidence interval helps ensure the maximum likely error a random shopper will differ in opinion from the point estimate results of the Springdale Shopping Survey.
After randomly choose the sample group. The 60 students will then be randomly assigned to 2 groups...
Often uses random sampling to select a large statistically representative sample from which generalizations can be drawn.
(i) How would you go about sampling 20 students from the class? Explain your answer (20%)