Concept explainers
Results of a 2017 Computer Services, Inc (CSI) survey of a sample of 163 bank executive reveal insights on banking priorities among financial institutions (goo.gl/mniYMM). As financial institutions a begin planning for a new year, of utmost importance is boosting profitability and identifying growth areas.
The results show that 55% of bank institutions note customer experience institutions note customer experience initiatives as an area in which spending is expected to increase implementing a customer relationship management (CRM) solution was ranked as the top most important omnichannel strategy to pursue with 41% of institutions citing digital banking enhancements as the greatest anticipated strategy to enhance the customer experience.
a. Describe the population of interest.
b. Describe the sample that was collected.
c. Describe the parameter of interest.
d. Describe the statistic used to estimate the parameter in (c).
Want to see the full answer?
Check out a sample textbook solutionChapter 1 Solutions
Basic Business Statistics, Student Value Edition
Additional Math Textbook Solutions
Elementary Statistics (Text Only)
Fundamentals of Statistics (5th Edition)
Statistics for Business and Economics (13th Edition)
Statistics: The Art and Science of Learning from Data (4th Edition)
Elementary Statistics: A Step By Step Approach
Elementary Statistics ( 3rd International Edition ) Isbn:9781260092561
- The index of leading economic indicators, compiled and published by the U.S. National Bureau of Economic Research, is composed of 12 time series, such as the average work hours of production in manufacturing, manufacturers’ new orders, and money supply. This index and similar indexes are designed to move up or down before the economy begins to move the same way. Thus, an economist has statistical evidence to forecast future trends.You want to construct a leading indicator for Erie County in upstate New York. The index is to be based on 2000 data. Because of the time and work involved, you decide to use only four time series. As an experiment, you select these four series: unemployment in the county, a composite index of county stock prices, the County Price Index, and retail sales. Here are the figures for 2000 and 2018. The weights you assign are unemployment rate 20%, stock prices 40%, County Price Index 25%, and retail sales 15%. (Round your answers to 1 decimal place.) a. Using…arrow_forwardIs it possible to predict the annual number of business bankruptcies by the number of firm births (business starts) in the United States? The following data published by the U.S. Small Business Administration, Office of Advocacy, are pairs of the number of business bankruptcies (1,000s) and the number of firm births (10,000s) for a six-year period. Business Bankruptcies (1,000) 34.3 Firm Births (10,000) 58.1 35.0 55.4 38.5 57.0 40.1 58.5 35.5 57.4 37.9 58.0 i) Based on the output given, use these data to develop the equation of the regression model to predict the number of business bankruptcies by the number of firm births. ii) Explain the values of r and r. iii) Predict the number of business bankruptcies if the number of firm births is 54.0 (10,000s). iv) Do the data support the existence of a linear relationship between the number of firm births and the number of business bankruptcies? Test using a = 0.05. OUTPUT Model Summary Std. Error of the Estimate Adusted R Model R R Square…arrow_forwardGlobally, numerous people died in road traffic crashes every year. For the betterment of the public at large, ways to alleviate the frequency and severity of traffic crashes have been the primary concerns of many governments. In fact, many traffic crashes can be avoided with the implementation of effective policies and regulations. Assume that a dataset is collected for traffic crash analysis. The dataset contains data of severe traffic crashes between 2015 and 2019 in Australia. The description of the dataset is listed in Table 1. Suggest two (2) additional variables that can be included in traffic crash analysis. Explain the rationale of their inclusion. Table 1. Description of the dataset Field Description Experience The driving experience of the driver (Under 7 years/7- 14 years/Over 14 years) Whether the crash involves fatigue driving (True/False) Whether the crash involves drunk or drug driving (True/False) The type of road where the crash occurs (E.g., Highway, Freeway, etc) The…arrow_forward
- You are interested in studying the relationship between dietary fat intake and pubertal onset. a. Define Cofounder b. Identify at least 3 potential variables that may confound the primary relationship of interest.arrow_forwardin what year was NHS PPP seen to be most effective same for sugar tax and phsycial and healthy eating campains. on type 2 diabetes , provide a stastical graph along side raw data for eacharrow_forwardThe problem facing a manager is to assess the impact of factors on full-time (FT) job growth. Specifically, the manager is interest in the impact of total worldwide revenues and full-time voluntary turnover on the number of full-time jobs added in a year. Data were collected from a sample of 20 "best companies to work for." The data includes the total number of full-time jobs added in the past year, total worldwide revenue (in Smillions), and the full-time voluntary turnover (%). Use the accompanying data to complete parts (a) through (d) below. E Click the icon to view the data table. a. State the multiple regression equation. Let X, represent the Total Worldwide Revenues (Smillions) and let X, represent the FT Voluntary Tumover (%). (Round the constant and Xg-coeficient to the nearest integer as needed. Round the X-coeficient to four decimal places as needed.) b. Interpret the meanings of the slopes b, and bz in this problem. Choose the correct answer below. OA. The slopes b, and bz…arrow_forward
- The problem facing a manager is to assess the impact of factors on full-time (FT) job growth. Specifically, the manager is interest in the impact of total worldwide revenues and full-time voluntary turnover on the number of full-time jobs added in a year. Data were collected from a sample of 20 "best companies to work for." The data includes the total number of full-time jobs added in the past year, total worldwide revenue (in Smillions), and the full-time voluntary turnover (%). Use the accompanying data to complete parts (a) through (d) below. E Click the icon to view the data table. a. State the multiple regression equation. Let X, represent the Total Worldwide Revenues (Smillions) and let X, represent the FT Voluntary Turnover (%). (Round the constant and X,-coefficient to the nearest integer as needed. Round the X,;-coefficient to four decimal places as needed.) b. Interpret the meanings of the slopes b, and b, in this problem. Choose the correct answer below. - X Data of Best…arrow_forwardA study identified top accounting firms across the United States. The Southeast and Gulf Coast regions reported the highest combined growths. A characteristic description of the accounting firms in the Southeast and Gulf Coast regions included the number of partners in the firm. Below represents the number of partners within various firms of the two regions [Southeast and Gulf Coast]. Southeast 174 Gulf Coast 79Southeast 45 Gulf Coast 106Southeast 29 Gulf Coast 22Southeast 51 Gulf Coast 22Southeast 40 Gulf Coast 38Southeast 10 Gulf Coast 17Southeast 29 Gulf Coast 27Southeast 37 Gulf Coast 21Southeast 32 Gulf Coast 17Southeast 22 Gulf Coast 12Southeast 9 Gulf Coast 9Southeast 30 Gulf Coast 6Southeast 21 Gulf Coast 9…arrow_forwardA study identified top accounting firms across the United States. The Southeast and Gulf Coast regions reported the highest combined growths. A characteristic description of the accounting firms in the Southeast and Gulf Coast regions included the number of partners in the firm. Below represents the number of partners within various firms of the two regions [Southeast and Gulf Coast]. Southeast 174 Gulf Coast 79Southeast 45 Gulf Coast 106Southeast 29 Gulf Coast 22Southeast 51 Gulf Coast 22Southeast 40 Gulf Coast 38Southeast 10 Gulf Coast 17Southeast 29 Gulf Coast 27Southeast 37 Gulf Coast 21Southeast 32 Gulf Coast 17Southeast 22 Gulf Coast 12Southeast 9 Gulf Coast 9Southeast 30 Gulf Coast 6Southeast 21 Gulf Coast 9…arrow_forward
- Use the Financial database from “Excel Databases.xls” on Blackboard. Use Total Revenues, Total Assets, Return on Equity, Earnings Per Share, Average Yield, and Dividends Per Share to predict the average P/E ratio for a company. Use Excel to perform a forward selection regression analysis. Assume a 5% level of significance. Which independent variables are in the final model? Select all that apply. Company Type Total Revenues Total Assets Return on Equity Earnings per Share Average Yield Dividends per Share Average P/E Ratio AFLAC 6 7251 29454 17.1 2.08 0.9 0.22 11.5 Albertson's 4 14690 5219 21.4 2.08 1.6 0.63 19 Allstate 6 20106 80918 20.1 3.56 1 0.36 10.6 Amerada Hess 7 8340 7935 0.2 0.08 1.1 0.6 698.3 American General 6 3362 80620 7.1 2.19 3 1.4 21.2 American Stores 4 19139 8536 12.2 1.01 1.4 0.34 23.5 Amoco 7 36287 32489 16.7 2.76 3.1 1.4 16.1 Arco Chemical 2 3995 4116 6.2 1.14 6.1 2.8 40.4 Ashland 7 14319 7777 9.5 3.8 2.3 1.1 12.4 Atlantic Richfield 7…arrow_forwardThe model predicts the percentage of people trusting in government' will be ___% in 2025?arrow_forwardPlease give me an example of methods and design for a sequential design (combines cross sectional study and longitudinal study) that would analyze the changes in memory abilities as individuals age?arrow_forward
- Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin HarcourtGlencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill