In a previous exercise, you were asked to model the following scenario with a directed network. A car rental company has three locations in Mexico City: the International Airport, Oficina Vallejo, and Downtown. Customers can drop off their vehicles at any of these locations. Based on prior experience, the company expects that, at the end of each day, 40% of the cars that begin the day at the Airport will end up Downtown, 40% will return to the Airport, and 20% will be at Oficina Vallejo. Similarly, 70% of the Oficina Vallejo cars will end up Downtown, with 10% returning to Oficina Vallejo and 20% to the Airport. Finally, 30% of Downtown cars will end up at each of the other locations, with 40% staying at the Downtown location. This scenario can also be investigated using a discrete-time population model.

You're a data analyst for an insurance company. You want to make sure that your employer is not over-paying for car repairs. To investigate this, you bring 31 different cars to two different garages, Bubba's Hubcap Heaven and Repair, and Merle's Motor Shop. Some of the cars need lots of repairs. Some of the cars need very few. By taking each car to both shops, we can directly compare the two sets of prices.  The dataset is in an Excel file named "Bubba_v_Merle_3190.xls", which you can find in the "Data" folder under Course Documents. Before running your analysis, be sure to look at the data file and verify that each car requires a different amount of repairs, and that prices in one shop are correlated with prices at the other shop. That is, they're in the same ballpark. The question is whether one tends to charge more, on average, than the other. Your task is to use Excel to test the research hypothesis that prices are different in the two shops; the null hypothesis is that prices are…

You're a data analyst for an insurance company. You want to make sure that your employer is not over-paying for car repairs. To investigate this, you bring 42 different cars to two different garages, Bubba's Hubcap Heaven and Repair, and Merle's Motor Shop. Some of the cars need lots of repairs. Some of the cars need very few. By taking each car to both shops, we can directly compare the two sets of prices.  The dataset is in an Excel file named "Bubba_v_Merle_4299.xls", which you can find in the "Data" folder under Course Documents. Before running your analysis, be sure to look at the data file and verify that each car requires a different amount of repairs, and that prices in one shop are correlated with prices at the other shop. That is, they're in the same ballpark. The question is whether one tends to charge more, on average, than the other. Your task is to use Excel to test the research hypothesis that prices are different in the two shops; the null hypothesis is that prices are…

How will marketers change their social media use in the near future? A survey by Social Media Examiner reported that 77% of B2B marketers (marketers that focus primarily on attracting businesses) plan to increase their use of LinkedIn, as compared to 54% of B2C marketers (marketers that primarily target consumers). The survey was based on 1,184 B2B marketers and 1,703 B2C marketers. The following table summarizes the results:   Give an example of a simple Give an example of a joint What is the complement of a marketer who plans to increase use of LinkedIn? Why is a marketer who plans to increase use of LinkedIn and is a B2C marketer a joint event?

StarHortons Cup, the coffee company, wants to determine how long caffeine lasts throughout the day when individuals have a cup of one of their 3 types of coffee at 9am. They will then measure the levels of caffeine in these individuals’ systems at 10am, 12am, 2pm, 4pm, 6pm and 8pm. They want to have at least 20 observations per group. How many separate/distinct groups of participants are needed if they want to conduct this experiment using a mixed-measures ANOVA?   18 6 20 3

Large companies typically collect volumes of data before designing a product, not only to gain information as to whether the product should be released, but also to pinpoint which markets would be the best targets for the product. Several months ago, I was interviewed by such a company while shopping at a mall. I was asked about my exercise habits and whether or not I'd be interested in buying a video/DVD designed to teach stretching exercises. I fall into the male, 18 - 35-years-old category, and I guessed that, like me, many males in that category would not be interested in a stretching video. My friend Holly falls in the female, older-than-35 category, and I was thinking that she might like the stretching video. After being interviewed, I looked at the interviewer's results. Of the 94 people in my market category who had been interviewed, 14 said they would buy the product, and of the 108 people in Holly's market category, 34 said they would buy it. Assuming that these data came…

Large companies typically collect volumes of data before designing a product, not only to gain information as to whether the product should be released, but also to pinpoint which markets would be the best targets for the product. Several months ago, I was interviewed by such a company while shopping at a mall. I was asked about my exercise habits and whether or not I'd be interested in buying a video/DVD designed to teach stretching exercises. I fall into the male, 18-35-years-old category, and I guessed that, like me, many males in that category would not be interested in a stretching video. My friend Holly falls in the female, older-than-35 category, and I was thinking that she might like the stretching video. After being interviewed, I looked at the interviewer's results. Of the  89  people in my market category who had been interviewed,  20  said they would buy the product, and of the  103  people in Holly's market category,  28  said they would buy it. Assuming that these…

Dr. Jones conducted a study examining the relationship between the amount of sugar in a child’s diet and the activity level of the child. A sample of 30 four-year-old children from a local preschool was used in the study. Sugar consumption was measured by interviewing the parents about each child’s diet. Based on the result of the interview, each child was then placed into one of two groups: high sugar consumption and low sugar consumption. Activity level was measured by observing the children during a regular preschool afternoon. Finally, Dr. Jones compared the activity level for the high-sugar group with the activity level for the low-sugar group. Explain why Dr. Jones’ study is not an example of the experimental research strategy and provide way that it can be tested experimentally.

Many animals, including humans, tend to avoid direct eye contact and even patterns that look like eyes. Some insects, including moths, have evolved eye-spot patterns on their wings to help ward off predators. Scaife (1976) reports a study examining how eye-spot patterns affect the behavior of birds. In the study, the birds were tested in a box with two chambers and were free to move from one chamber to another. In one chamber, two large eye-spots were painted on one wall. The other chamber had plain walls. The researcher recorded the amount of time each bird spent in the plain chamber during a 60-minute session. Suppose the study produced a mean of M=34.5 minutes on the plain chamber with SS=210 for a sample of n=15 birds. (Note: If the eye spots have no effect, then the birds should spend an average of ?=30minutes in each chamber.) a. Is this sample sufficient to conclude that the eye-spots have a significant influence on the birds' behavior? Use a two-tailed test with ?=.05. b.…

Many animals, including humans, tend to avoid direct eye contact and even patterns that look like eyes. Some insects, including moths, have evolved eye-spot patterns on their wings to help ward off predators. Scaife (1976) reports a study examining how eye-spot patterns affect the behavior of birds. In the study, the birds were tested in a box with two chambers and were free to move from one chamber to another. In one chamber, two large eye-spots were painted on one wall. The other chamber had plain walls. The researcher recorded the amount of time each bird spent in the plain chamber during a 60-minute session. Suppose the study produced a mean of M = 37 minutes in the plain chamber with SS = 288 for a sample of n = 9 birds. (Note: If the eye-spots have no effect, then the birds should spend an average of μ = 30 minutes in each chamber.) Is this sample sufficient to conclude that the eyespots have a significant influence on the birds’ behavior? Use a two-tailed test with α =  .05.…