Concept explainers
Tipping points in daily deal transactions? Online “daily deal” sites (e.g., Groupon) offer customers a voucher to purchase a product at discount prices. However, the number of voucher purchases must exceed a predetermined number before the deal becomes active. This key number is termed the “tipping point” in marketing. Characteristics of the tipping point were investigated in the Journal of Interactive Marketing (February 2016). A sample of 2,617 vouchers purchased from daily-deal sites in Korea had a
Want to see the full answer?
Check out a sample textbook solutionChapter 6 Solutions
Statistics for Business and Economics (13th Edition)
Additional Math Textbook Solutions
The Practice of Statistics for AP - 4th Edition
Research Methods for the Behavioral Sciences (MindTap Course List)
Elementary Statistics (13th Edition)
Statistics for Business & Economics, Revised (MindTap Course List)
Essentials of Statistics, Books a la Carte Edition (5th Edition)
Elementary Statistics Using the TI-83/84 Plus Calculator, Books a la Carte Edition (4th Edition)
- Are the following answers correct? Question: The American Association of Individual Investors (AAII) On-Line Discount Broker Survey polls members on their experiences with electronic trades handled by discount brokers. As part of the survey, members were asked to rate their satisfaction with the trade price and the speed of execution, as well as provide an overall satisfaction rating. Possible responses (scores) were no opinion (0), unsatisfied (1), somewhat satisfied (2), satisfied (3), and very satisfied (4). For each broker, summary scores were computed by computing a weighted average of the scores provided by each respondent. A portion the survey results follow (AAII web site, February 7, 2012). Brokerage Satisfaction withTrade Price Satisfaction withSpeed of Execution Overall Satisfaction withElectronic Trades Scottrade, Inc. 3.4 3.4 3.5 Charles Schwab 3.2 3.3 3.4 Fidelity Brokerage Services 3.1 3.4 3.9 TD Ameritrade 2.9 3.6 3.7 E*Trade Financial 2.9 3.2 2.9 (Not…arrow_forwardPurchasing magazine reported the results of a survey in which buyers were asked a series of questions with regard to internet usage. One question asked was how they would use the internet if security and other issues could be resolved. Seventy-eight percent said they would use it for pricing information, 75% said they would use it to send purchase orders, and 70% said they would use it for purchase order acknowledgments. Assume that these percentages hold true for all buyers. A researcher randomly samples 20 buyers and asked them how they would use the internet if security and other issues could be resolved. What is the probability that all of the buyers would use the internet to send purchase orders?arrow_forwardCable TV choices: A telecommunications company provided its cable TV subscribers with free access to a new sports channel for a period of one month. It then chose a sample of 415 television viewers and asked them whether they would be willing to pay an extra $10 per month to continue to access the channel. A total of 25 of the 415 replied that they would be willing to pay. The marketing director of the company claims that less than 10% of all its subscribers would continue subscribing. Can you conclude that the director's claim is true? Use the α = 0.01 level of significance with the P-value method and Excel.arrow_forward
- A cell phone service provider claims that only 1% of their calls get "dropped" (i.e., neither party hangs up, but the connection is lost). You work for the Consumer Protection Agency, and believe that the percent of dropped calls from this provider is higher than 1%. Your agency has been granted access to this company's detailed call records. It takes careful examination of each call transaction to determine if the call can be considered a "dropped call", so you are not able to easily calculate the actual percent of dropped calls directly from the entire database of millions of calls. So, you decide to take a random sample of 2500 calls, and each call is classified as "dropped" or "not dropped". Of the 2500 calls examined, 1.462% of them were classified as "dropped". Calculate the appropriate test statistic. Enter with 2 decimals (eg. 1.96).arrow_forwardCable TV choices: A telecommunications company provided its cable TV subscribers with free access to a new sports channel for a period of 1 month. It then chose a sample of 390 television viewers and asked them whether they would be willing to pay an extra $10 per month to continue to access the channel. A total of 30 of the 390 replied that they would be willing to pay. The marketing director of the company claims that more than 6% of all its subscribers would pay for the channel. Can you conclude that the director's claim is true? Use the=α0.10 level of significance and the P-value method with the table. a) State the appropriate null and alternate hypotheses. H0: H1:This hypothesis test is a (left/right/two-tailed) test. b) Compute the P- value. Round at least four decimal places c) Determine whether to reject H0arrow_forwardA variety of stores offer loyalty programs. Participating shoppers swipe a bar-coded tag at the register when checking out and receive discounts on certain purchases. Stores benefit by gleaning information about shopping habits and hope to encourage shoppers to spend more. A typical Saturday morning shopper who does not participate in this program spends $150 on her or his order. In a sample of 80 shoppers participating in the loyalty program, each shopper spent $160 on average during a recent Saturday, with standard deviations = $40. Is this statistical proof that the shoppers participating in the loyalty program spend more on average than typical shoppers? (Assume that the data meet the sample size condition.) Complete parts a-d. ..... (a) State the null and alternative hypotheses. Describe the parameters. Choose the correct answer below. O A. Ho: µs $150 vs Ha: µ> $150; µ is the average spent by a shopper not in the program. B. Ho: µs $150 vs Hạ: µ> $150; µ is the average spent by a…arrow_forward
- Westminster Financial has released a summary of investment package information from the past fiscal year. During this time, Westminster provided a choice among twelve pre-designed investment packages. Westminster classified the packages into three categories according to riskiness. We're interested in the possible relationship between the age of an investor and the riskiness of the investment package she chose. So, there are two variables under consideration: age of Westminster investor ("under 35", "35-49", or "50+") and riskiness of investment choice ("risky", "moderate/mixed", or "conservative"). The contingency table below gives a summary of the information released by Westminster regarding age and riskiness of investment package for a random sample of 150 investors. Each cell of the table contains three numbers: the first number is the observed cell frequency (fO); the second number is the expected cell frequency (fE) under the assumption that there is no relationship between the…arrow_forward27. Where Millionaires Live in America. In a 2018 study, Phoenix Marketing International identified Bridgeport, Connecticut; San Jose, California; Washington, D.C.; and Lexington Park, Maryland as the four U.S. cities with the highest percentage of millionaires (Kiplinger website, https://www.kiplinger.com/slideshow/investing/T064-S001-where-millionaires -live-in-america-2018/index.html). The following data show the following number of millionaires for samples of individuals from each of the four cities. Bridgeport San Jose Washington Lexington Park, City Millionaire CT CA D.C. MDYes 44 35 35 34No 356 350 364 366 a. What is the estimate of the percentage of millionaires in each of these cities? b. Using a .05 level of significance, test for the equality of the population proportion of…arrow_forwardCable TV choices: A telecommunications company provided its cable TV subscribers with free access to a new sports channel for a period of 1 month. It then chose a sample of 385 television viewers and asked them whether they would be willing to pay an extra $10 per month to continue to access the channel. A total of 29 of the 385 replied that they would be willing to pay. The marketing director of the company claims that less than 8% of all its subscribers would pay for the channel. Can you conclude that the director's claim is true? Use the a= 0.05 level of significance and the P-value method with the table. Part 1 of 4 (a) State the appropriate null and alternate hypotheses. Ho p = 0.08 : H₁: p 0 X ☐#0 X р 0=0 5 (d) State a conclusion. There (Choose one) enough evidence to conclude that less than 8% of all its subscribers would pay for the channel. X Śarrow_forward
- Is the data point P in the picture... ...an influential point...a leverage point...none of the other options...an outlierarrow_forwardChi-square tost of indopondance Eapatel Westminster Financial has released a summary of investment package information from the past fiscal year. During this time, Westminster provided a choice among twelve pre-designed investment packages. Westminster classified the packages into three categories according to riskiness. We're interested in the possible relationship between the age of an imvestor and the riskiness of the investment package she chose. So, there are two variables under consideration: age of Westminster investor ("under 35", "35-49", or "50+") and riskiness of investment choice ("risky", "mnderate/mixed", or "conservative"). The contingency table below gives a summary of the information released by Westminster regarding age and riskiness of investment package for a random sample of 150 investors. Each cell of the table contains three numbers: the first number is the observed cell frequency fo): the second number is the expected cell frequency e) under the assumption that…arrow_forwardAn insurance company offers four different deductible levels—none, low, medium, and high—for its homeowner’s policyholders and three different levels—low, medium, and high—for its automobile policyholders. The accompanying table gives proportions for the various categories of policyholders who have both types of insurance. For example, theproportion of individuals with both low homeowner’s deductible and low auto deductible is .06 (6% of all such individuals).Suppose an individual having both types of policies is randomly selected.a. What is the probability that the individual has a medium auto deductible and a high homeowner’s deductible?b. What is the probability that the individual has a low auto deductible? A low homeowner’s deductible?c. What is the probability that the individual is in the same category for both auto and homeowner’s deductibles?d. Based on your answer in part (c), what is the probability that the two categories are different?e. What is the probability that the…arrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman