Week 3 Qnt/351 Essay Example
Quantative Analysis Week 3 Team paper
In depth study of ratios and variables.
Ronderla Allen
Statistics in Business
June 25, 2013
QNT/351
Professor Leonardo Ledezma
How would you select appropriate statistical tests for analysis research data? What aspects of research questions or data types are relevant considerations in choosing your tests? Why?
A quantitative analysis is the result of correlating known variables that are represented by numerical data directly related to the hypothesis. This method of data collection is most often used in the quantitative research approach with a direct emphasis related to mathematics and statistics (Dorsten, 2006, p. 147) Additional questions can be answer using the quantitative approach if the data can be and observation can be converted into numerical numbers. For example, if the test is design to uncover the amount of sales per hour, than my related question may be “what is the means and or average of sales per hour”.
How do you know you have validated a research study based on data gathered from primary or secondary sources? Have you been involved with any product test-marketing project? Explain. How did the resulting statistics affect the product’s marketing strategy? How can organizations skew the statistical outcomes of their business research?
In order to have a substantiated test results, the development of the test itself must have factual unbiased data from related and reliable resources. For instance, gathering data that will uncover the probability rates of recidivism would be gathered from a reputable source. This reputable source would be that of the Justice Department. I have never been involved in a statistical test of marketing projects, however, if the data collected is misleading or invalid than the results could not be considered as conclusive. This type of actions during the test gathering
In depth study of ratios and variables.
Ronderla Allen
Statistics in Business
June 25, 2013
QNT/351
Professor Leonardo Ledezma
How would you select appropriate statistical tests for analysis research data? What aspects of research questions or data types are relevant considerations in choosing your tests? Why?
A quantitative analysis is the result of correlating known variables that are represented by numerical data directly related to the hypothesis. This method of data collection is most often used in the quantitative research approach with a direct emphasis related to mathematics and statistics (Dorsten, 2006, p. 147) Additional questions can be answer using the quantitative approach if the data can be and observation can be converted into numerical numbers. For example, if the test is design to uncover the amount of sales per hour, than my related question may be “what is the means and or average of sales per hour”.
How do you know you have validated a research study based on data gathered from primary or secondary sources? Have you been involved with any product test-marketing project? Explain. How did the resulting statistics affect the product’s marketing strategy? How can organizations skew the statistical outcomes of their business research?
In order to have a substantiated test results, the development of the test itself must have factual unbiased data from related and reliable resources. For instance, gathering data that will uncover the probability rates of recidivism would be gathered from a reputable source. This reputable source would be that of the Justice Department. I have never been involved in a statistical test of marketing projects, however, if the data collected is misleading or invalid than the results could not be considered as conclusive. This type of actions during the test gathering