A certain consumer research firm analyzed the 8% of adults from a particular region that are either "Superbanked" or "Unbanked." Superbanked consumers are defined as adults who live in a household that has multiple asset accounts at financial institutions, as well as some additional investments; Unbanked consumers are adults who live in a household that does not use a bank or credit union. By finding the 4% of adults that are Superbanked, the firm identifies financially savvy consumers who might be open to diversifying their financial portfolios; by identifying the Unbanked, the firm provides insight into the ultimate prospective client for banks and financial institutions. As part of its analysis, the firm reported that 89% of Superbanked consumers from the region use credit cards in the past three months as compared to 37% of Unbanked consumers. Suppose that these results were based on 800 Superbanked consumers and 1,000 Unbanked consumers. Complete parts (a) through (c) below. a. At the 0.01 level of significance, is there evidence of a significant difference between the Superbanked and the Unbanked with respect to the proportion that use credit cards? State the null and alternative hypotheses, where is the population proportion of Superbanked consumers that use credit cards and is the population proportion of Unbanked consumers that use credit cards. OA. Ho: ₁ = ₂ H₁: Jy > ₂ Determine the value of the test statistic. ZSTAT= OB. Ho: ₁₂ Н1: 11 < П2 C (Round to four decimal places as needed.) OC. Ho: ₁ #1₂ H₁:₁ = 1₂ D. Ho: ₁ = ₂ H₁: #₁ #₂

A poll in June 2020 found that 83% of American parents believe that virtual learning instead of in- person learning widens the equity gap for students. A later poll in October 2020 asked 1025 American parents if they believe virtual learning instead of in- person learning widens the equity gap for students, and found that 820 believe that yes, virtual learning instead of in-person learning widens the equity gap for students. Does this mean that the proportion of American parents, who believe that virtual learning instead of in-person learning widens the equity gap for students, has decreased? Test at the 10% significance level. State the hypotheses. Но: р (? На: р (? Calculate the sample proportion. Round to four decimal places. Calculate the test statistic. Round to two decimal places. Z = Find the p-value. Give to four decimal places. p-value = State your decision. Since the p-value is less than 0.1, fail to reject Ho. Since the p-value is less than 0.1, reject Ho. | Since the…

Is there a link between dark chocolate and weight loss when compared to milk chocolate? A nutritionist gathers 60 people, selected at random, then randomly assigns half of the group to eat a single dark chocolate bar after dinner each night and the other half to eat a single milk chocolate bar after dinner each night for 6 months. Everyone is to keep track of the other food they eat in an app provided. The nutritionist then compares each person’s weight after the 6 months to their weight before eating the different chocolates accounting for the other calories consumed.     12) What type of study does this describe?   a) Survey   b) Observational study   c) Experimental study

Rebecca Chory, Ph.D., now an associate professor of communication at West Virginia University, began studying the effect of such portrayals on patients' attitudes toward physicians. Using a survey of 300 undergraduate students, she compared perceptions of physicians in 1992—the end of the era when physicians were shown as all-knowing, wise father figures—with those in 1999, when shows such as ER and Chicago Hope (1994–2000) were continuing the transformation to showing the private side and lives of physicians, including vivid demonstrations of their weaknesses and insecurities. Dr. Chory found that, regardless of the respondents' personal experience with physicians, those who watched certain kinds of television had declining perceptions of physicians' composure and regard for others. Her results indicated that the more prime time physician shows that people watched in which physicians were the main characters, the more uncaring, cold, and unfriendly the respondents thought physicians…

The U.S. Department of Transportation reported that during November, 83.4% of Southwest Airlines' flights, 75.1% of US Airways' flights, and 70.1% of JetBlue's flights arrived on time (USA Today, January 4, 2007). Assume that this on-time performance is applicable for flights arriving at concourse A of the Rochester International Airport, and that 40% of the arrivals at concourse Aare Southwest Airlines flights, 35% are US Airways flights, and 25% are jetBlue flights. a) Deveiop a joint probability table with three rows (airlines) and two

In a​ survey, it was found that 72​%of the population of a certain urban area lived in​ single-family dwellings and 28​% in multiple housing. One year​ later, of those who had been living in​ single-family dwellings, 89​%still did​ so, but 11​% had moved to​ multiple-family dwellings. Of those in multiple​ housing, 94​%were still living in that type of​ housing, while 6​%had moved to​ single-family housing. Assume that these trends continue.   ​(a) Write a transition matrix using this information. Set it up so that the first row and first column represent​ single-family dwellings and the second row and second column represent multiple housing.

Data from the Bureau of Labor Statistics indicates that in a certain month, 35.7% of the labor force had a high school diploma or fewer years of education, 29.4% had some college or an associate's degree, and 34.9% had a bachelor's degree or more education. Of those with a high school diploma or fewer years of education, 5.5% were unemployed. Of those with some college or an associate's degree, 4.4% were unemployed, and of those with a bachelor's degree or more education, 2.4% were unemployed. Find the probability that a randomly chosen labor force participant has some college or an associate's degree given that he or she is unemployed. 12 The probability is 0 (Type an integer or decimal rounded to three decimal places as needed.)

Business sensor technology provides a way for companies to learn about their customers, employees, and operations. A survey of global business and IT executives found that 26% of automotive executives; 27% of energy, utilities, and mining executives; 31% of hospitality and leisure executives; 31% of industrial products executives; and 51% of retail and consumer executives say their companies are currently investing in business sensor technology. Suppose these results were based on 400 business and IT executives in each of the five industries: Automotive; Energy, Utilities, and Mining; Hospitality and Leisure; Industrial Products; and Retail and Consumer. Complete parts (a) through (c). a. At the 0.05 level of significance, is there evidence of a difference among the industries with respect to the proportion of executives that say their companies are currently investing in business sensor technology? State the null and alternative hypotheses. A. Ho ₁₂ ====0 H₁: At least one of the лj is…

Razor LLC has a data warehouse that is used by several analytics groups. The data warehouse consists of a number of distinct components, including a cloud server (99.999% availability), a database management system server (99.4%), an analytics logic server (94.7%), and, of course, the network infrastructure to the cloud server, which has an availability of 99.9%. What is the overall availability of the system, expressed as a percentage with three digits of precision? For example, enter 91.223, but do not enter a percent symbol, i.e., do not enter 91.223%

An insurance company classifies drivers as low-risk, medium-risk, and high-risk. Of those insured, 60% are low-risk, 30% are medium-risk, and 10% are high-risk. After a study, the company finds that during a 1-year period, 1% of the low-risk drivers had an accident, 5% of the medium-risk drivers had an accident, and 9% of the high-risk drivers had an accident. If a driver is selected at random, find the probability that the driver is classified low-risk, given he/she have had an accident during the year.