Needed within 3 hours. ANSWER THE 4 QUESTIONS BELOW DEPENDING ON THE NUMBERS IN THE TWO ATTACHED FILES. DUE DATE 11/01/2016 (TODAY) 12:00 pm (EDT) time zone 1. Using SPSS (statistical software) what were the mean, mode, median, range, and standard deviation computed to be for the Santa Fe SPSS data set? Imagine you are a consultant for the Sante Fe Grill management team. Interpret those numbers within the context of the Santa Fe questionnaire used in the research and attached to our syllabus. After analyzing the SPSS outputs answer the following questions. What does a mean of 3 tell us about the frequency overall at Santa Fe Grill? What does a standard deviation of 1.1 tell us regarding the Santa Fe research? What does a variance of 1.25 reveal to us in terms of the Santa Fe research? You must explain what those numbers tell the managers. In other words, as a management consultant what are the research findings or conclusions. 2. Compare and contrast the means of three or more groups. Are households with more children more likely OR less likely to recommend their favorite Mexican restaurant than are households with fewer children? Explain fully your conclusion. Don't guess. Support your answer by providing the mean that was computed. 3. Explain fully the concept of correlation between variables. Based on the questionnaire implemented and the SPSS outputs, does the Pearson Correlation reveal that there is a high or low correlation between the level of satisfaction and the likelihood to recommend? What was the Pearson Correlation computed to be .4, .6, .8, or 1.0? Don't guess. Explain fully. 4. Explain fully the concepts of predictive modeling and regression analysis. Further demonstrate your critical thinking, communication, and quantitation reasoning skills. For Santa Fe Grill, what does the multiple regression reveal about the ability of fresh food and friendly service to predict customer satisfaction? Don't guess. What are the beta coefficients for each? Explain fully.

Needed within 3 hours.




ANSWER THE 4 QUESTIONS BELOW DEPENDING ON THE NUMBERS IN THE TWO ATTACHED FILES.

DUE DATE 11/01/2016 (TODAY) 03:00 pm (EDT) time zone


1. Using SPSS (statistical software) what were the mean, mode, median, range, and standard deviation computed to be for the Santa Fe SPSS data set? Imagine you are a consultant for the Sante Fe Grill management team. Interpret those numbers within the context of the Santa Fe questionnaire used in the research and attached to our syllabus.

After analyzing the SPSS outputs answer the following questions.

What does a mean of 3 tell us about the frequency overall at Santa Fe Grill?
What does a standard deviation of 1.1 tell us regarding the Santa Fe research? What does a variance of 1.25 reveal to us in terms of the Santa Fe research? You must explain what those numbers tell the managers. In other words, as a management consultant what are the research findings or conclusions.


2. Compare and contrast the means of three or more groups. Are households with more children more likely OR less likely to recommend their favorite Mexican restaurant than are households with fewer children? Explain fully your conclusion. Don't guess. Support your answer by providing the mean that was computed.


3. Explain fully the concept of correlation between variables. Based on the questionnaire implemented and the SPSS outputs, does the Pearson Correlation reveal that there is a high or low correlation between the level of satisfaction and the likelihood to recommend? What was the Pearson Correlation computed to be .4, .6, .8, or 1.0? Don't guess. Explain fully.


4. Explain fully the concepts of predictive modeling and regression analysis. Further demonstrate your critical thinking, communication, and quantitation reasoning skills. For Santa Fe Grill, what does the multiple regression reveal about the ability of fresh food and friendly service to predict customer satisfaction? Don't guess. What are the beta coefficients for each? Explain fully.