Q40 Describe the basic idea of how Hierarchical Clustering works:

To investigate the relationship between gender and beliefs about the ability of a child to get a good education, the researcher uses SPSS and computes the following table:   ‘GoodEduc’ Mean Std. dev. N 1 = Males 3.5 2 50 2 = Females 4.5 1 50   Q31:  Calculate the appropriate test statistic for this research question (retain at least 3 decimal places within your calculations).  Enter the formula you used and the value of the test statistic that you calculated (write down your work on paper and email an image to faculty after the exam)

Your manager approaches you after a meeting and states “Should we increase the price of our product?” She asks you to start up a marketing research project. Which of the following is true?

Q38 Using the regression output above, what is the sales prediction for a month in which the store is 6 months old with a price of $21.00 dollars? Write down your work on paper and send an image to faculty after the exam.  

Suppose you are trying to measure the annual sales of cans of soft drink brand X.  To measure this you ask the following question:         “Roughly how many cans of soft drink X do you purchase in a given year?    _______cans   Which of the following is true?

Case: Consider the following output from Rstudio from conducting ANOVA on two questions Level of education completed and the Likert statement I consider myself a liberal (1-strongly disagree, 2- disagree, 3-neither agree nor disagree, 4-agree, 5 – strongly agree)   Descriptives   N Mean Std. Deviation Std. Error Elem School 51 3.2510 1.02594 .14366 Some High School 174 3.4092 .89127 .06757 High School Grad 1046 3.3440 .91739 .02837 Some College 1001 3.4503 .96209 .03041 College Grad 455 3.3736 .96558 .04527 Post-Grad Education 458 3.5620 .99348 .04642 Total 3185 3.4151 .95240 .01688       ANOVA   Sum of Squares df Mean Square F Sig. Between 18.582 5 3.716 4.117 .001 Within 2869.495 3179 .903     Total 2888.077 3184         –REFER TO THIS CASE FOR THE QUESTIONS 35-37—   Q35: Given this ANOVA output and a 1% significance level, what can we conclude from this test?

Suppose you are given the results from two surveys that were run simultaneously on the same population (but different respondents).  Both surveys used the same questionnaire, which includes a Likert scale question on a 1-5 scale.  The first survey yields a mean of 2.86 for this question, and the second survey yields a mean of 2.99.  What type of error explains the difference between the two?

Case:  A marketing researcher for a political party collects data using a survey about political attitudes. He administers the questionnaire to 100 respondents. One of the questions is the Likert statement “I do not believe that children can get a good education in schools today”, where 1 = Totally disagree, 2 = Somewhat disagree, 3 = Neutral, 4 = Agree, 5 = Totally agree. In addition, the researcher obtains information about respondents’ sex. –REFER TO THIS CASE FOR QUESTIONS 31 – 34– Q31: Which of the following techniques could be used to investigate the relationship between sex (m/f) and education attitudes using the data described above?

Q37:  Given that this data uses a Likert scale, which of the following would also be a possibility?

Q39:  Using the regression output above, what is the prediction for next years total spend for a 52 year old male customer that visited the store 3 times the previous year?