Sampling Techniques

this study is the use of convenience sampling, as previously mentioned. Black et al. (2000) make

(a) Then mean of the sample and the value of Z with an area of 10% in right tail.

Let’s assume you have taken 1000 samples of size 64 each from a normally distributed population. Calculate the standard deviation of the sample means if the population’s variance is 49.

Population A and Population B both have a mean height of 70.0 inches with an SD of 6.0. A random sample of 30 people is picked from population A, and random sample of 50 people is selected from Population B. Which sample mean will probably yield a more accurate estimate of its population mean? Why? Despite, both Population A and Population having a mean height of 70.0 inches with an SD of 6.0, Population B will

According to Schutt (2008), sampling is defined as a subset of population used in a study to be a representation of the population as a whole. My final project is a pre-hire assessment which analyzes potential risky pattern behaviors and emotions in the work place. One of the most important considerations related to sampling that will need to be addressed in my final project is defining the population that will be taking the assessment.

The researchers analyzed the data they collected as though it were at what level of measurement?

What is the value of the population mean? What is the best estimate of this value?

20) In a two-sample test of means for independent samples, we use the z distribution when…A. the population standard deviations are equalB. both populations have at least 4,000 observationsC. both population standard deviations are knownD. nB and n(1-B) are both greater than 5

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. Sample, because it is the study of a much smaller group of people.

A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 975 hours. A random sample of 72 light bulbs has a mean life of 954 hours with a standard deviation of 85 hours. Do you have enough evidence to reject the manufacturer’s claim? Use a = 0.04.

The central limit theorum states that the average of a distribution will be normal regardless of distribution unless the parent distribution is missing data. Simple random sampling is a form of sampling where the total sample group consists of N objects and the sample taken consists of n objects resulting in a predictable result. The sample mean of a random sampling would be within the resulting confines of the sample group. In a population of 20 people, there were 15 donars, but the average gift was well below the per-capita income. However, there were a minority of large donors that far exceeded the per-capita income causing the mean to be much higher than expected.

Now when I see the history of all the drawings, the population contains extreme values such as multiple numbers in a lottery pick greater than 33. These extremes increases the spread of data affecting the sample mean.

Hinduja and Patchin (2013) used random sampling from 33 middle and high schools in a large school district. The administrators randomly selected two or three classes from each grade level, generating a sample of 4,441 students (Hinduja & Patchin, 2013). Random sampling is effective because each student from the population pool has a chance to be selected. The large sample size creates the likelihood that the sample is representative of the population, making it more generalizable (Sheperis, Young, & Daniels, 2013). Yet, the randomized selection was left to the administrator at each school, which could have decreased the randomization because they could have decided to use specific criteria, such as high referral rate classes, which would have made the chances of selection unequal. The selection could have been improved by assigning classes specific numbers that are inputed into a random number generator for selection (Sheperis, Young, & Daniels, 2010). This would help to ensure the selection was truly a random sample.

Sampling is extremely useful in all applications of sociological study; essentially, it would be impossible to study the entire population, and sampling allows us to generalize the large population while only analyzing a small group. While trying to analyze a given population by means of a smaller, representative population, it is important to consider that the best way to sample varies greatly depending on the goals, budget, and intentions of the project. The two major methods of study are qualitative and quantitative, and the two main facets of sampling are probability and non-probability. Probably sampling is primarily used in quantitative studies, and non-probability sampling is mainly used in qualitative studies. Qualitative studies often

A market research firm needs to find 100 people who regularly purchase orange juice to complete a survey on a new line of frozen orange juice. After talking to a random sample of 500 people, 75 orange juice buyers have been found. Based upon this information, how many additional people in a random sample do they need to interview to reach an expected total of 100 people who regularly purchase orange juice? TASK 2 – UNISOAP CASE As a Client Service Executive at Nielsen, you are assigned to work on Sudsy Soap Company’s client team.