Concept explainers
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
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Statistics for Business and Economics (13th Edition)
- A health policy economist interested in investigating the relationship between the cost of prescription drugs in Canada and the cost of prescription drugs in the United States has information from a random sample of 48 prescription drugs sold in both countries. For each of these drugs, the economist is examining two pieces of information: the average cost of a one-month supply of the drug in Canada, and the average cost of a one-month supply of the drug in the United States. For the sample of drugs examined, the sample correlation coefficient r relating these two pieces of information is 0.33. Test for a significant linear relationship between the two variables average prescription drug cost in Canada and average prescription drug cost in the United States by doing a hypothesis test regarding the population correlation coefficient p. (Assume that the two variables have a bivariate normal distribution.) Use the 0.05 level of significance, and perform a two-tailed test. Then complete the…arrow_forwardResearch to test if “proficiency tests” are influenced by the education of the child’s parents was done in Paarl, a Semi Urban area in the Western Cape. A random sample of 6-year-old children was drawn. Each child’s test score and the educational level of the parent with their highest level of education were recorded. The educational categories are: Less than High School; High School Graduate; Some University; and University Graduate. The data are as follows: Less than High School (198; 234; 207; 181; 223; 195; 209). High School Graduate (224; 209; 221; 221; 228; 165; 168). Some University (230; 223; 227; 265; 219; 222; 228). University Graduate (248; 255; 196; 193; 180; 252; 214). The Sums of Squares are also given as follows: SST = 3005.5357; SSE = 13719.4286; and TSS = 16724.9643. What is the critical value at the 5% significance level (rounded off 2 decimals)?arrow_forwardResearch to test if “proficiency tests” are influenced by the education of the child’s parents was done in Paarl, a Semi Urban area in the Western Cape. A random sample of 6-year-old children was drawn. Each child’s test score and the educational level of the parent with their highest level of education were recorded. The educational categories are: Less than High School; High School Graduate; Some University; and University Graduate. The data are as follows: Less than High School (198; 234; 207; 181; 223; 195; 209). High School Graduate (224; 209; 221; 221; 228; 165; 168). Some University (230; 223; 227; 265; 219; 222; 228). University Graduate (248; 255; 196; 193; 180; 252; 214). The Sums of Squares are also given as follows: SST = 3005.5357; SSE = 13719.4286; and TSS = 16724.9643. State the correct hypotheses. A. Ho: At least 2 of the means differ vs H1: μ1 = μ2 = μ3 = μ4 B. H0: μ1 = μ2 = μ3 = μ4 vs H1: At least 2 of the means differ C. H1: μ1 = μ2 = μ3 = μ4 vs Ho: At least 2 of…arrow_forward
- Classify each scenario as a meta-analysis or a case study. a. An economist studies the various factors that could make it more likely for people to remain in their current jobs. b. A researcher collects data from previous studies on the price of auto insurance premiums in a particular state over the past 10 years. c. A food scientist examines the factors that influence the intensity of heat that is released from burning charcoal in an outdoor grill. d. A researcher analyzes 15 previous studies about the most effective long term weight loss strategies.arrow_forwardAbsenteeism: Absenteeism can be a serious employment problem. It is estimated that absenteeism reduces potential output by more than 10%. Two economists launched a research project to learn more about the problem. They randomly selected 100 organizations to participate in a 1-year study. For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Now let us build a model to predict absenteeism based on key independent variables available in this dataset; wage, PctPT, PctU, Av Shift and U/MRel The following down below is the correlation matrix between absenteeism and potential independent variables. Why are the variables AvShift and U/MRel excluded from this correlation matrix? Which variable in the matrix is likely to provide the best simple linear regression model and why? Does the…arrow_forward4. Straight As now, healthy later A study by Pamela Herd of the University of Wisconsin-Madison found a link between high-school grades and health. Analyzing data from the Wisconsin Longitudinal Study, which has tracked the lives of thousands of Wisconsin high-school graduates from the class of 1957, Herd found that students with higher grade-point averages were more likely to say they were in excellent or very good health in their early 60s. Does this mean people will live healthier lives if they increase their GPA? Explain.47arrow_forward
- Absenteeism: Absenteeism can be a serious employment problem. It is estimated that absenteeism reduces potential output by more than 10%. Two economists launched a research project to learn more about the problem. They randomly selected 100 organizations to participate in a 1-year study. For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Perform a two-sample t-test analysis to determine if mean absenteeism is different between organizations which have a good Union management and those that do not. I have provided the F-test for two variances below: Copy and paste the Two sample t-test output below AND provide a clear conclusion supported by key statistics in the output about how absenteeism is affected by the Union Management Relationship. (I just need to know how to perform the two…arrow_forwardAbsenteeism: Absenteeism can be a serious employment problem. It is estimated that absenteeism reduces potential output by more than 10%. Two economists launched a research project to learn more about the problem. They randomly selected 100 organizations to participate in a 1-year study. For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Now let us build a model to predict absenteeism based on key independent variables available in this dataset; wage, PctPT, PctU, Av Shift and U/MRel. Correlation matrix is provided below. Why are the variables AvShift and U/MRel excluded from this correlation matrix? Which variable in the matrix is likely to provide the best simple linear regression model and why? Does the correlation matrix show any evidence of collinearity? Explain. Data:…arrow_forwardStudy 2: Pill Appearance and Perceived Pain. Does the shape or color of a pain pill influence its effectiveness? Although logically it shouldn’t, whether we believe a drug will work does have a powerful effect on our perceptions (e.g., placebo effect). In this experiment, 4 groups of adult patients were given the same amount of Advil after dental surgery for pain relief, but the color and shape of the pill varied. Researchers hypothesized that an unusual shape or color would lead people to believe the pills were new and special and thus would expect them to be more effective than common round, white pills. Researchers also wanted to know if there is an interaction between shape and color Data Labels ShapePill {1=Round; 2=Diamond} ColorPill {1=White; 2=BlueGreen} Gender {0=Woman; 1=Man; 2=Nonbinary person) Descriptions of the Variables and Descriptive Statistics: Referring to the JASP output, and using sentences, present the descriptive statistics of each group: for example:…arrow_forward
- 2arrow_forwardIn an article in Accounting and Business Research, Beattie and Jones investigate the use and abuse of graphic presentations in the annual reports of United Kingdom firms. The authors found that 65 percent of the sampled companies graph at least one key financial variable, but that 30 percent of the graphics are materially distorted (nonzero vertical axis, exaggerated trend, or the like). Results for U.S. firms have been found to be similar. (a) Suppose that in a random sample of 466 graphics from the annual reports of United Kingdom firms, 142 of the graphics are found to be distorted. Find a point estimate of and a 95 percent confidence interval for the proportion of all U.K. annual report graphics that are distorted. (Round your answers to 4 decimal places.)arrow_forwardIn an article in Accounting and Business Research, Beattie and Jones investigate the use and abuse of graphic presentations in the annual reports of United Kingdom firms. The authors found that 65 percent of the sampled companies graph at least one key financial variable, but that 30 percent of the graphics are materially distorted (nonzero vertical axis, exaggerated trend, or the like). Results for U.S. firms have been found to be similar. (a) Suppose that in a random sample of 451 graphics from the annual reports of United Kingdom firms, 146 of the graphics are found to be distorted. Find a point estimate of and a 95 percent confidence interval for the proportion of all U.K. annual report graphics that are distorted. (Round your answers to 4 decimal places.) (b) Based on this interval, can we be 95 percent confident that more than 25 percent of all graphics appearing in the annual reports of U.K. firms are distorted? Does this suggest that auditors should understand proper…arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin HarcourtHolt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL