There are approximately 350 PDA Waiver consumers that receive services through my agency. I am going to do a random sample of the consumers that have been receiving services for more than one month. I will randomly choose 75 names from the list of PDA Waiver consumers that have been receiving services for at least one month.
- The second method I will use is calculating probabilities by the use of conditional probability.
(i) How would you go about sampling 20 students from the class? Explain your answer (20%)
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.
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.
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.).
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
Due to the invisibility of the population, a sampling frame can not be developed. Without the ...
As it is impossible for researchers to study an entire population, sampling theory studies a target population under study. A target population refers to a group of individuals who meet the sampling criteria for a particular study. For example, male, 20 years with type 1 diabetes. The two different types of sampling design are probability and nonprobability sampling. Probability sampling is the type of sampling plan where each person in the population has an equal opportunity to be selected for the sample, whereas in nonprobability sampling methods, not every element or person in the population has a chance to be selected for a study. This type is a more common method used in nursing research because of the limitations of the availability of
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.
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...
To get my primary data I will be using a random sampling. To do this I
This paper discusses different types of sampling techniques used in quantitative research. It begins by looking at probability sampling (also known as random sampling) before discussing non-probability sampling (non-random sampling). The discussion ends by looking considerations that should be made before selecting a sampling technique before concluding. Because quantitative researchers prefer probability sampling and only use non-probability on rare occasions the e...