Descriptive statistics is used by decision makers to summarize and describe data so that it may be easily understood. Statistical Principles for Problem Solving. This paper will attempt to summarize each of the selected data collection instruments, sampling methods, and the statistical methods as well as express their weaknesses and strengths and identify specific situations they could be utilized within.
Inferential statistics also require the researcher to make assumptions based on the theory to conduct the tests Lund Research Ltd. This could include trying to improve customer service of a business nsf. The second study used simple random sampling method.
Surveys consist of written questions and responses. As a police officer, I would want to target a general area not a broad population. This is done by using measures of tendencies and measures of spread, such as average or standard deviation laerd.
Using the descriptive statistical method has only one identified strength, that of simplifying large volumes of data. By using this method I could understand better the research done in my area as that would benefit producing effective results in my community.
International Journal Of Disability Management, 4 2 This can also work in reverse, if you want to take a population sample and generalize it to a specific area. Sampling is selecting some of the elements in a population, and drawing conclusions about the entire population. Sampling Strengths and Weaknesses The first study used judgment sampling that is a type of non-probability sampling in its research study.
An instrument is a tool used to collect data within a research project. Cluster sampling has the strengths and weaknesses associated with most probability sampling procedures, some of these strengths include: Business research Methods 12th ed.
It was determined that inferential statistics would work best in the HR field because this method is used to help decision makers analyze and define complex business problems. The interview can be conducted either individually or in a group setting.
This method also helps management determine the significance of the data collected rather than just describing it Wienclaw, This paper will identify the statistical method used in each article, the strengths and weaknesses of each sampling method, instrument design and appropriate situations, strengths and weaknesses of each statistical approach, and which method works best in the Human Resources field.
The group represents an unbiased selection because everyone has an equal chance of being chosen. Since both articles only used one method they lack the benefits of the other method. Three reasons to choose this include: Stratified sampling has some strengths which include: Hence, it was not required to survey the injured individuals.
Get Full Essay Get access to this section to get all help you need with your essay and educational issues. Inferential statistics use data one has observed in a sample to make hypotheses or predictions about data that have not been observed directly in the larger population laerd.
This method uses various graphical techniques, such as graphs, pies, and charts Wienclaw, Statistical Approach Strengths and Weaknesses Descriptive and inferential statistical methods are used for different objectives, and each has its set of strengths and weaknesses.
To use cluster sampling two conditions must be present: In my functional area the inferential statistical method would be most beneficial.
Systematic sampling is a probability sampling procedure in which a random selection is made of the first element kth for the sample, and then subsequent elements are selected using a fixed or systematic interval the range of 1 to k until the desired sample size is reached.
Surveys are a very popular form of data collection for large groups, where standardization is important. Focus groups are a gathering of 8 to 12 people who share some characteristics relevant to the evaluation and combine elements of both interviewing and participant observation.
The descriptive statistical method is the analysis of data that helps describe, show or summarize data in a meaningful way such that patterns might emerge. The weaknesses one would encounter include: Perceived injustice emerged as a potentially important area for further research in enhancing the outcomes of the compensable injury Wall et al.
Get Full Essay Get access to this section to get all help you need with your essay and educational issues. By using applications from both you can combine and get the research study you wish to fulfill.Understanding Business Research Terms and Concepts Essay Sample.
The Workers’ Compensation Experience: A Qualitative Exploration of Workers’ Beliefs Regarding the Impact of the Compensation System on Their Recovery and Rehabilitation and A Comparative Study between Army Civilian Workforce and Private Industry Workforce Workers’ Compensation Claims Management, pertaining to worker’s.
Understanding Business Research Terms and Concepts: Part 3 Determine which level of measurement— nominal, ordinal, interval, or ratio—is used in the following examples. • The Association of Accountants is conducting a survey to determine the ranking of.
Understanding Business Research Terms and Concepts: Part 2 Justin Wilson RES Business Research 31 Mar Biman Ghosh Descriptive statistics is the term given to the analysis of data that helps describe, show or summarize data in a meaningful way such that, for example, patterns might emerge from the data.
Historically, qualitative methodologies have been available much longer some as early as the 19th century as the quantitative tools marketers rely on so heavily. Open Document. Below is an essay on "Understanding Business Research Terms and Concepts: Part 1" from Anti Essays, your source for research papers, essays, and term paper examples.
Understanding Business Research Terms and Concepts: Part 3. A. Determine which level of measurement— nominal, ordinal, interval, or ratio—is used in the following examples.Download