Auditing water resources in Australia. Australia has developed a General Purpose Water Accounting (GPWA) reporting system in an effort to provide a financial accounting of water use in the country. The perceptions of potential users of the reports (e.g.. water resource managers) were investigated in Accounting, Auditing & Accountability Journal (Vol. 29, 2016). Each in a sample of 36 potential users of GPWA reports was asked to complete a survey. Two key survey questions (v/ith possible responses) were as follows:
Q1 : Should there be national standards for water reporting? (Yes, No, or Undecided)
Q2: How useful will the GPWA reports be for water users? (1- to 5-point scale, where 1 not useful at all and 5 = very useful)
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- Part 2: Does educational attainment impact employment status? Below is a table from the US Bureau of Labor Statistics' Current Population Survey Employment Status Men, 25+, Employed Men, 25+, Unemployed Less than a high school diploma 5,565 302 Educational attainment as of 2022 Some college or associate degree 17,722 556 16,801 564 2,934 188 High school graduates, no college (¹) 20,655 808 Bachelor's degree and higher Women, 25+, Employed 13,842 Women, 25+, Unemployed 614 (1) Includes persons with a high school diploma or equivalent. (2) Includes persons with bachelor's, master's, professional, and doctoral degrees. All numbers are in thousands - Source: https://www.bls.gov/cps/cpsaat07.htm 30,434 609 2. What is the test statistic? What is the p-value? 30,960 641 You will need to conduct a hypothesis test to determine if educational attainment and employment status are independent. 1. Write out the null and alternative hypothesis. Use correct notation. Clearly label the claim. 3. Write…arrow_forwardIn determining the best companies to work for, a number of variables are considered, including size, average annual pay, and turnover rate. Moreover, employee surveys are conducted to assess aspects of the organization's culture, such as trust and openness to change. In an attempt to determine what affects turnover rate, a sample of 33 companies was randomly selected, and data were collected on the average annual bonus and turnover rate (%) for 2008. In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0-100). Below are the multiple regression results. Dependent Variable is Turnover Rate Predictor Coef SE Coef Constant 12.1005 0.7826 15.46 0.000 Trust Index -0.07149 0.01966 -3.64 0.001 Average Bonus -0.0007216 0.0001481 -4.87 0.000 S= 1.49746 R-Sq = 79.6% R-Sq (adj) = 78.3%arrow_forwardEssay 21. a. What types of studics can show causc-and-effect relationships? Explain. b. What must be included in thosc studies from part (a) in order to show cause-and-effect? Explain. c. Some people respond favorably to any treatment given. What can be done to address this problem? Explain.arrow_forward
- Accounting Today identified top accounting firms in 10 geographic regions across the United States. All 10 regions reported growth in a recent year. The Southeast and Gulf Coast regions reported growths of 12.49% and 9.78%, respectively. A characteristic description of the accounting firms in the Southeast and Gulf Coast regions included the number of partners in the firm. The file [Accounting Partners 2] contains the number of partners. Source: Data extracted from Accounting Today, "The 2019 Top Firms and Regional Leaders," available at bit.ly/2XdQVVW. Number of Partners Region Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Southeast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf Coast Gulf…arrow_forwardConsumer Research, Inc., is an independent agency that conducts research on consumer attitudes and behaviors for a variety of firms. In one study, a client asked for an investigation of consumer characteristics that can be used to predict the amount charged by credit card users. Data were collected on annual income, household size, and annual credit card charges for a sample of 50 consumers. The following data are contained in the file Consumer. Source: Consumer Research, Inc. (https://www.bbb.org/us/ny/rochester/profile/secretshopper/consumer-research -inc-0041-45625697) Managerial Report1. Use methods of descriptive statistics to summarize the data. Comment on the findings.2. Develop estimated regression equations, first using annual income as the independent variable and then using household size as the independent variable. Which variable is the better predictor of annual credit card charges? Discuss your findings.3. Develop an estimated regression equation with annual income and…arrow_forwardYou may need to use the appropriate technology to answer this question. A survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, with population 1 − population 2, the sample mean difference was d = $830, and the sample standard deviation was sd = $1,125. (a) Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. H0: ?d ≠ 0 Ha: ?d = 0 H0: ?d = 0 Ha: ?d ≠ 0 H0: ?d < 0 Ha: ?d = 0 H0: ?d ≤ 0 Ha: ?d > 0 H0: ?d ≥ 0 Ha: ?d < 0 (b)…arrow_forward
- You may need to use the appropriate technology to answer this question. A survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment. Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, with population 1 - population 2, the sample mean difference was d = $830, and the sample standard deviation was s = $1,128. (a) Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. O O O Ho: Md 0 H₂: H = 0 O Ho Hd ≤0 Ha: Md > 0 O Ho: d=0 Ha: Pd #0 Ho: Mo Hai Hd < 0 Ho: <0 H₂: Hd = 0 74°F Sunny 40) 6:22 PM 4/14/2023arrow_forwardWhen writing the participant section for your formal report, you include only information that directly describes your participants, and do not include information on measures they have completed. True or falsearrow_forwardAll of the following are common strategies in qualitative data analysis except: a. use of tests of significance b. use of hierarchies c. use of typologies d. use of networksarrow_forward
- In determining the best companies to work for, a number of variables are considered, including size, average annual pay, and employee turnover rate. Moreover, employee surveys are conducted to assess aspects of the organization's culture, such as trust and openness to change. In an attempt to determine what affects turnover rate, a sample of 33 companies was randomly selected, and data were collected on the average annual bonus and turnover rate (%) for 2008. In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0-100). Below are the multiple regression results. Predictor Coef SE Coef T P R-square Constant 12.1005 0.7826 15.46 0.000 79.6% Trust Index -0.07149 0.01966 -3.64 0.001 Average Bonus -0.0007216 0.0001481 -4,87 0.000 At alpha = 0.01, we can conclude that I. Trust Index is a significant independent variable in explaining turnover rate.…arrow_forwardIn determining the best companies to work for, a number of variables are considered, including size, average annual pay, and employee turnover rate. Moreover, employee surveys are conducted to assess aspects of the organization's culture, such as trust and openness to change. In an attempt to determine what affects turnover rate, a sample of 33 companies was randomly selected, and data were collected on the average annual bonus and turnover rate (%) for 2008. In addition, a questionnaire was administered to the employees of each company to arrive at a trust index (measured on a scale of 0-100). Below are the multiple regression results. Predictor Coef SE Coef T P R-square Constant 12.1005 0.7826 15.46 0.000 79.6% Trust Index -0.07149 0.01966 -3.64 0.001 Average Bonus -0.0007216 0.0001481 -4,87 0.000 The correct null hypotheses for testing the regression coefficient of Trust Index (TI) is βTI ≠ 0…arrow_forwardThe accompanying table contains the number of partners in a cohort of rising accounting firms that have been tagged as "firms to watch." Complete parts (a) through (c) below. List the five-number summary. The five-number summary is ___, ___, ____, _____, ____.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 Harcourt