SOLVED

11) Marketing segmentation is a vital marketing strategy concept. As such, a marketing researcher is always hoping for the: A) null hypothesis to be supported. B) alternative hypothesis results to be negative. C) null hypothesis to not be supported. D) alternative hypothesis that a difference does not exist to be voided. E) null hypothesis to be accepted over the alternative hypothesis. 12) The null hypothesis states that the difference in two groups population parameter is: A) less than 1; there is no significant difference between the groups. B) less than 0 (a negative number); showing a directional difference between the groups. C) the same as the alternative hypothesis; no difference between the hypotheses. D) equal to zero; there is no difference between the groups. E) equal to zero; there is a difference between the groups. 13) If the null hypothesis is true, the distribution of difference with repeated samplings follows the normal curve, with an average equal to ____ and a standard error equal to ____. A) 1; 0 B) 1; 95% C) 0; 95% D) 0; 1 E) 0; 0.05 14) Once you have determined the percentage and sample size of each of your two samples, and then compared the two percentages by taking their arithmetic difference, the next step is t: A) determine the standard error of the arithmetic mean of differences. B) divide the difference between the two sample percentages by the standard error. C) enter the differences in XL Data Analyst. D) determine the standard error of the difference between two percentages. E) use the critical z value to test the null hypothesis. 15) When testing for differences between two groups, if the computed z value at 99% confidence is 1.98 we can conclude that: A) we can reject the null hypothesis that there is no difference between the groups. B) we can accept the null hypothesis that there is no difference between the groups. C) there is a statistically significant difference between the two groups. D) that there is a difference, but not a statistically significant one, between the two groups. E) we need to run more tests because 1.98 is too close to the 1.96 z-value for 99% level of confidence. 16) When a researcher is determining if two groups are statistically significant, he or she is considering the two groups as two separate populations. The question is whether or not the two different populations’: A) z scores are the same. B) t scores are the same. C) parameters are different. D) associations are different. E) summarization values are the same. 17) When making a comparison between two groups of respondents to determine whether or not they are statistically different, in concept, the researcher is considering the two groups as two: A) different populations. B) different answers. C) different tests. D) common groups. E) related groups. 18) To test whether a true difference exists between two group percentages, we test the ________ hypothesis. A) z B) t C) z or t hypothesis; it does not matter D) null E) alternative 19) Which of the following states that the difference between the population parameters between two groups is zero? A) null parameter B) null hypothesis C) alternative hypothesis D) null alternative hypothesis E) zero hypothesis 20) We have two percentages and we want to know if they are statistically different. We calculate our z and find that it is 4.21 at a 95% level of confidence. This means: A) the two percentages are the same. B) the two percentages are not statistically different. C) the two percentages have a 421 percent chance of not being different. D) the two percentage are statistically different. E) the two percentages have a 421 percent chance of being different.