RUNNING HEAD: ASSIGNMENT MODULE 2 PROBLEM SET RES 855: Assignment Module 2 Research Design and Methods Fernando J. Franco MBA Grand Canyon University...

RES 855: Assignment Module 2 Research Design and Methods

Fernando J. Franco MBA

Grand Canyon University

Using Business Analytics for Competitive Advantage

RES 865

Dr. Sheila Fournier-Bonilla 

April 13, 2016

After finally downloading the software and being able to review the first part of the assignment I have located the data in the “Drinks.sav” folder and able to open in through SPSS. In section 2.11 Learning Activity we are asked to create standardized scores for all the scale variables for price through alcohol. In review of the information I have attained I have found that have a positive standardized score in every variable are the beverages #1, 4, 5, 6, 7, 8, 9, 11, 17, & 19. In the demonstration that I have created I found that the positive standard score is indicating that the critical information is above the mean. If it were to demonstrate a negative standard score it would be indicative that the critical information is below the mean. This is creates by a quantity without dimensions through the subtraction of the mean from the populated area. This will be a factor created by a score giving the appearance of being a raw score. Then the researcher must allow for dividing the difference by the standard deviation population. This allows for the process known as standardizing or normalizing (Creswell, 2013).

The question that is proposed for question #2 requires an answer for the most extreme z-score on each variable? The most extreme z-score of on each of the variables is demonstrated by beverages #1 (1.35529), #9 (-.03332), & #11 (.28713). The next question to be answered is “What is the most extreme z-score across all variables?” The most common z-score across all variables appears to be .33-.35.

The next question we are to answer is “What is the most typical of all beverages, that is, has z-score values closest to 0 for the variables?” Beverage #11 has the z-score value that is closest to zero.

The final question (#4) asks “If the variable is normally distributed, what percentage of cases should be above 1 standard deviation from the mean or below 1 standard deviation from the mean? Calculate this percentage for a couple of the variables. Is the percentage of beverages with an absolute z-score above 1 close to the theoretical value?” The percentages that I have found are above 1 and close to the theoretical value that is calculated by the formula given.

The data set in "Census.sav" in SPSS section 3.9 Learning Activity as written questions the use of cross-tabulation. Here I had to consider the two variables which will allow me to prominently exhibit the relationship in a tubular format, which could work in this case. When measuring the established from the total of what is present from what is absent the indication of the events can be classified into other categories. These categories of what is present and what is absent can consist of a variety of categories if necessary and this can work for this question. It may be a necessity to choose a model that will fit this information as well, rather than just inserting it into this table. A considerable amount of attention must take place when considering the critical information that is being of in this category (previously married).

The data in section 4.18 learning activity allows me to compare the measures of central tendency which has provided the useful information demonstrated regarding the distribution. This method demonstrated here was developed giving the opportunity to increasingly refine the precision of traditional testing and its scrutiny of variance techniques for a vast number of common occurring circumstances. The fundamental issues that are created with traditional methods tend to be based on means. This will provide the manifestation for reasoning for contemporary approaches that are based on vigorous evaluations of situation. While allowing for an empirical benefit while describe the reasoning behind contemporary studies that deal with what is not normal. When finding the empirical means to making a comparison as opposed to previous research it will be best suited to move forward using contemporary techniques.

References:

Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Sage: Thousand Oaks, CA. ISBN-13: 9781452226101 (Available as eBook)

http://gcumedia.com/digital-resources/sage/2009/research-design_-qualitative-quantitative-and-mixed-methods-approaches_ebook_3e.php

Introduction to Statistical Analysis Using IBM SPSS Statistics, Student Guide

RES865.7P5CL_introduction_to_statistical_analysis_using_ibm_spss_statistics.pdf