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The “lucky store effect” in lottery ticket sales. In the American Economic Review (Vol. 98, 2008), University of Chicago researchers investigated the lucky store effect theory in lottery ticket sales, i.e., the theory that a lottery retail store that sold a large-prize-winning ticket will experience greater ticket sales the following week. The researchers examined the weekly ticket sales of all 24,400 active lottery retailers in Texas. The analysis showed that “the week following the sale of [a winning Lotto Texas ticket], the winning store experiences a 12 to 38 percent relative sales increase. . . . ” Consequently, the researchers project that future winning lottery retail stores will experience the lucky store effect. Is this study an example of descriptive statistics or inferential statistics? Explain.

Short Answer

Expert verified

The study done by the researchers is an example of inferential statistics as it is utilizing sample data in order to make projections about the weekly ticket sales.

Step by step solution

01

Explaining lottery tickets

Lottery tickets are often bought by small investors with the hope of getting a huge prize. In some cases, the government put a ban on this as a lottery game is regarded as a form of gambling but many organizations still organize lottery games.

02

Reason behind the study on weekly ticket sales being inferential

In this study, the University of Chicago researchers are predicting whether the sales experienced by a retail store have increased or not with an increase in the sales of lottery tickets. After finding an increase in the sales by around 12 to 38 percent, the researchers predicted the future sales and so it is inferential.If the researchers had not predicted anything, the study would have been regarded as descriptive.

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Most popular questions from this chapter

Explain the difference between descriptive and inferential statistics.

Monitoring product quality. The Wallace Company of Houston is a distributor of pipes, valves, and fittings to the refining, chemical, and petrochemical industries. The company was a recent winner of the Malcolm Baldrige National Quality Award. One of the steps the company takes to monitor the quality of its distribution process is to send out a survey twice a year to a subset of its current customers, asking the customers to rate the speed of deliveries, the accuracy of invoices, and the quality of the packaging of the products they have received from Wallace.

a. Describe the process studied.

b. Describe the variables of interest.

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d. Describe the inferences of interest.

e. What are some of the factors that are likely to affect the reliability of the inferences?

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c. Give a scenario where the 2,045 properties represent a population.

d. If the 2,045 properties represent a representative sample from a population, describe the population.

e. Suppose the relevant population is all single-family residential properties in the United States. Do you believe the 2,045 properties are representative of this population? Explain.

Suppose that a production batch contains 1,000 units and you have to select 10 units for quality assurance. Use a random number generator to select a simple random sample of n = 10 from the production batch.

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a. What is the population of interest to the researcher?

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d. Identify the data-collection method used.

e. What inference was made by the researcher?

f. How might the nonresponses impact the inference?

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