Briefly explain the rationale for deciding on sample size for a population study. Identify Three probability sampling techniques that may be employed for data collection purposes and write briefly on any one of your choice.
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- Explain the following sampling techniques that are used in selecting sample elements out of a population in research. Snowball sampling Stratified samplingSelect ant article, and provide a reference link so your article can be accessed. (any)Read the article and provide a summary of the article and any research done. 2-3 paragraphs will be sufficient. Look at the statistics used in the article. What was the research question (hypothesis)? What parameter would be of interest in this study (population mean, population proportion, population standard deviation, etc.) What was the statistical test run in the analysis? (Did they run a regression analysis, Z-test, T-test, ANOVA, etc.) Write 2-3 paragraphs on this. Reflect on why you chose the article and its applicability to nursing practice. I was helped with this but it was on my old account please help again.The following statements are either true or false. Indicate true or false and justify your answer briefly. An unbiased estimator is said to be consistent if the difference between the estimator and the population parameter grows smaller as the sample size grows larger. An unbiased estimator is a sample statistic whose expected value equals the population parameter. Knowing that an estimator is unbiased neither assures us that its expected value equals the population parameter, nor does it tell us how close the estimator is to the population parameter. A specific confidence interval obtained from sample data will always correctly estimate the population parameter.
- In your own words describe why we should use both samples to estimate the variance of the population when working with an independent two-sample design?What population and location would you like to complete placements with? Why do you want to work with this population and location?A Researcher decided to put students into groups based on their Cumulative Weighted Averages and had four different groups. He then systematically selected one student from each group and assigned some clear roles and responsibilities. Here, the researcher used ……………………..in selecting the students. a.Simple random samplingb.Cluster random samplingc.Stratified random samplingd.Two stage cluster samplinge.Convenience sampling In a short sentence each, explain THREE of the sampling types indicated in the options above
- what is an advantage and disadvantage of a quasi-experimental quantitative designBriefly discuss how the following may determine the type of statistical analysis to be applied in the conduct of an empirical study; i. Research hypothesis, ii. Study design.How would I number it on the graph to put the averages on there
- Give typing answer with explanation and conclusion Why is it important to do more than one capture and release when doing population sampling studies?A Researcher decided to put students into groups based on their Cumulative Weighted Averages and had four different groups. He then systematically selected one student from each group and assigned some clear roles and responsibilities. Here, the researcher used ……………………..in selecting the students. In a short sentence each, explain THREE of the sampling typesYou have been hired by a consultancy firm to assess a recent demographic and health survey report of a given country. Write a report that summarizes the objective of the survey indicating how it was conducted and identify the possible sources of error or bias while If you think the bias could be controlled, suggest interventions.