1. Define population, sample, and sampling. 15 pts
2. Define the five non-probability sampling methods. 15 pts
3. Define the four common probability sampling methods. 15 pts
4. Describe some advantages and disadvantages of each sampling
method and why you would choose to utilize each. 25 pts
5. Describe the differences between qualitative and quantitative
research sampling. 15 pts
6. Describe the differences between qualitative and quantitative
research sample size. 15 pts
1.population:
Sample:
Sampling:
2.Five non probability sampling methods:
3.probability sampling:
Four common probability sampling methods:
Simple and stratified random sampling:
Systematic and cluster random sampling:
1. Define population, sample, and sampling. 15 pts 2. Define the five non-probability sampling methods. 15...
Please answer the following questions providing the appropriate amount of text and detail. Answers can be found in your textbook. Please do not cut and paste your answers. Quotations are not acceptable. It must be paraphrased appropriately to receive credit. 1. Define population, sample, and sampling. 15 pts 2. Define the five nonprobability sampling methods. 15 pts 3. Define the four common probability sampling methods. 15 pts 4. Describe some advantages and disadvantages of each sampling method and why you...
What is the difference between qualitative and quantitative research sampling strategies? Compare and contrast the strategies and describe some of the advantages and disadvantages of each.
(1) Give some examples of the MUS (Monetary Unit Sampling) or probability proportionate to size (PPS) process and calculations that are conservative and explain why they are conservative. (2) Describe some non-statistical alternatives to MUS and discuss why the auditor might use them. (3) In your own words, mention the major advantages and disadvantages of MUS over classical variables sampling.
Would you agree to the statement on random sampling methods. Please explain why. In probability samples “each population element has a known (non-zero) chance of being chosen for the sample.” (StatTrek 2020). Some examples of probability samples are, simple random sampling, stratified sampling, cluster sampling, multistage sampling, and systematic random sampling. Simple random sampling is the population and sample consists of “N” objects, and an example is when people play the lottery. Stratified sampling is based on some type of...
true/false please fast I'm taking a test 1, Sampling is always wrong because it is stupid trying studying 300 million people with a sample of 1500 2. Probability samples are the same as accidental samples. 3. The most important feature of probability sampling is that凶all members of the population have an equal chance of representation 4. Snowball samples accumulate subjects through chains of referrals and are most commoaly used in qualitative research 5. Stratification is the process of grouping the...
Question 19 1 pts Given a population in which the probability of success is p=0.50, if a sample of 200 items is taken, Calculate the probability the proportion of successes in the sample will be between 0.46 and 0.53. (Round to four decimal places as needed.) 1 pts Question 20 What sample size is needed to estimate a population mean within plus or minus 70 of the true mean value using a confidence level of 90%, if the true population...
Solve 1.Define reactivity as it relates to a scientific experiment. Provide two specific examples of how reactivity might affect a naturalistic observation experiment. 2.Explain the difference between a non-experimental method and an experimental method. Include a description of how each method is performed and identify which type of validity is more associated with each one. 3.Define both qualitative data and quantitative data. Then, identify the purpose, the group who is studied, and the role of the researcher for each type...
Question 202.5 pts If we consider the simple random sampling process as an experiment, the sample mean is _____. Group of answer choices always zero known in advance a random variable exactly equal to the population mean Flag this Question Question 212.5 pts The basis for using a normal probability distribution to approximate the sampling distribution of x ¯ and p ¯ is called _____. Group of answer choices The Law of Repeated Sampling The Central Limit Theorem Expected Value...
i. What is the difference between sample and population? ii. What is the difference between statistic and parameter? iii. What is the difference between descriptive statistics and statistical inference? iv. Categorical random variable contrast with numerical random variable. v. Compare discrete data from continuous data. saw. Detail the difference between nominal and ordinal scale. vii. Detail the difference between interval and ratio scale. viii. Explain the main reasons for obtaining data. ix. What is the difference between probabilistic and non-probabilistic...
Suppose a simple random sample of size n=200 is obtained from a population whose size is N=10,000 and whose pe (a) Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. O A. Approximately normal because np(1-P) < 10. OB. Approximately normal because np(1-P) 10. OC. Not normal because np(1-P) < 10. OD. Not normal because np(1-P) 2 10 Determine the mean of the sampling distribution of p. Ha =(Round to...