Question 6 What is the difference between descriptive and inferential statistics? Provide an example to each. Refer to Week 9 lecture slides and recordings for further information (Must provide 2 references, there should be at least one academic reference and one non-academic). (At least 200 words).
In: Finance
Elaborate KNM GROUP by the Acquisitions of 2004 onwards.
In: Economics
Suppose you determine that a firm's real sales in 2006 would be $10 million (in terms of 2004 dollars). What would the firm's nominal 2006 sales be assuming an annual inflation of 3% in both 2005 and 2006?
Group of answer choices
$10.609 million
$9.709 million
$9.426 million
Not possible to compute this without knowing CPIs in 2004 and 2006
$10.3 million
In: Finance
6) Evidence on IPO underpricing is provided in several empirical studies, including a seminal paper by Loughran and Ritter (2004). 7) On average, IPOs traded at a premium and one reason can be underpricing of IPO at the offer time. Briefly discuss whether this result is consistent with previous empirical studies (Loughran and Ritter (2004)about IPO traded at premium if they were underpriced at offer time.
In: Finance
In a 2-3 page paper, complete the case below and submit to instructor. Review the income statement for Uden Supply Company and answer the following:
Describe the purpose of analytical procedures performed in the
planning stage of the audit.
Uden Supply has projected its 2004 gross profit at 31% of sales
despite expectation for some shrinkage in margins. On the basis of
Uden's operating performance in years 2001 - 2003 project your best
guess for 2004. Project 2004 based on the incremental changes for
each line item over the last three years.
Uden’s unaudited financial statements for the current year show a
31 percent gross profit rate. Assuming that this represents a
misstatement from the amount that you developed as an expectation,
calculate the estimated effect of this misstatement on net income
before taxes for 20X4.
Indicate whether you believe that the difference calculated in part
(c) is material. Explain your answer. (50-100 words).
Comparative income statement information for Uden Supply Company is
presented in the accompanying table.
UDEN SUPPLY COMPANY
Comparative Income Statement
Years Ended December 20X1, 20X2, and 20X3
(Thousands)
20X1 Audited 20X2 Audited 20X3 Audited 20X4 Expected
Sales 8,700 9,400 10,100
Cost of goods sold 6,000 6,500 7,000
Gross profit 2,700 2,900 3,100
Sales Commissions 610 660 710
Advertising 175 190 202
Salaries 1,061 1,082 1,103
Payroll taxes 184 192 199
Employee benefits 167 174 181
Rent 60 61 62
Depreciation 60 63 66
Supplies 26 28 30
Utilities 21 22 23
Legal and accounting 34 37 40
Miscellaneous 12 13 14
Interest expense 210 228 240
Net income before taxes 80 150 230
Incomes taxes 18 33 50
Net income 62 117 180
In: Accounting
In: Psychology
How is Martin Luther King viewed by fellow clergymen (church leaders)? How does he feel about being viewed this way?
Who can i post it too?
In: Operations Management
Scenario
The enrolment process starts when a student submits all the required forms and documentation to the online enrolment system. As a first step, the academic qualifications of the student are verified with an external agency, and the student is given an academic score. Then, at the closing date of applications, a selection is made of the students based on their academic merits. Then, the payment is performed followed by a visa application for international students, while in the meantime the advanced standing requests are processed. After all these steps have been completed, the student is registered for the course, and for the chosen units. At any moment students have been asking for updates on the status of their enrolment applications. At any time during the process, a student can withdraw the enrolment application for a full refund, or inquire about the status of the enrolment application. Once the payment has been processed, a visa sponsorship application is made with the immigration department of the Australian government. If there is no reply from the immigration department within 20 days, a manual inquiry is made by the professional staff1 . Once the approval has been received, the student is notified by professional staff and encouraged to lodge their visa application. After 30 days, the student is notified by an automatic system to inform UH of any status changes in the visa processing. Once the student has notified UH of the outcome, UH verifies the granted visa with the immigration department. Unfortunately, in the current situation, it has occurred that already granted visa were cancelled by the immigration department, in which case UH was notified, and provided the student with the option to withdraw the enrolment application with a certificate of acceptance, or to continue with a reduced list of units that could be taken online. If at any stage the student withdraws, UH notifies the immigration department and recommends cancellation of the granted visa. Professional staff assigns students an academic score based on several criteria, partly assisted by input of academic staff members. After the closing date of enrolment applications, the highestranking students are admitted, as many as there are places available. Payments are performed by an automated system that interacts with UH’s standard payment provider. Sometimes, transactions are successfully disputed well after being approved, which voids the payment retroactively, and consequently the application or enrolment. In their initial application, students can include requests for advanced standing of particular units. For each such request, professional staff identifies the unit coordinator and forwards the request to the unit coordinator for assessment. The unit coordinator might get in touch with the student to obtain more information regarding the advanced standing request; if the student does not respond within 10 working days, the decision will be negative. On a positive decision of the unit coordinator, the decision is registered in the student progress information system. Hint: unit coordinators are academic staff.
Model the given scenario (Use Sub Processes). • . • Model the control flow, the data and the resource perspective in BPMN; • Make sure that it adheres as much as possible to the as-is description in Scenario. However, as with any real-life modelling effort, not every aspect of the process is described, and not all described behaviour can be modelled. • Make sure your model is structurally correct; • In the report, the model should be readable on A4 paper without zooming in;
In: Accounting
The university is concerned about a rise in the number of academic offences committed by undergraduate students. They believe that students do not understand the seriousness of such offences. They develop a course that outlines the potential consequences for students who are involved in academic offenses (e.g. cheating, plagiarism, etc.) in order to deter students’ acceptability of committing these offenses. All first year students are required to take the course. To assess the effectiveness of the course in deterring (or reducing) acceptability of academic offences, before the course starts, a random sample of 150 first year students are asked to complete a questionnaire that includes a scale to assess their views on the acceptability of committing an academic offence. After the course is over, a different sample of 156 first year students complete the same questionnaire. Scores on the scale range from 0 to 25 (interval/ratio measure), with a mean (X") and standard deviation (s) determined for the scores in each sample. Higher scores reflect GREATER acceptability of academic offences.
(a) What are the null hypothesis and alternate or research hypothesis that you would state in order to assess the effectiveness of the course in deterring acceptability of academic offences?
(b) What sampling distribution would you use, and what formula(s) would you use?
(c) Given an alpha level of 0.05, what is the critical value of the test statistic?
(d) If the value of the obtained test statistic is +1.754, what would you conclude about the effectiveness of the course? Be sure to state the conclusion in statistical terms, and in words.
Show your work
In: Statistics and Probability
Dataset #2 – Star War Film Data
Description: Weekly domestic box office revenues for the 8 Star War films
Research ‘Question’: Find a ‘best’ linear model to predict Star War revenue/day using the number of theaters, number of weeks since release, film number, and release year.
| theaters | weeknum | film | year | revperday |
| 3672 | 1 | IV | 1977 | 18498679.7 |
| 3672 | 2 | IV | 1977 | 9505314.86 |
| 3672 | 3 | IV | 1977 | 4127697.71 |
| 3672 | 4 | IV | 1977 | 2632591 |
| 3422 | 5 | IV | 1977 | 1950438.14 |
| 3311 | 6 | IV | 1977 | 2521766.29 |
| 3186 | 7 | IV | 1977 | 2831227.86 |
| 2681 | 8 | IV | 1977 | 1023363.71 |
| 2170 | 9 | IV | 1977 | 652710.714 |
| 1851 | 10 | IV | 1977 | 566439 |
| 1202 | 11 | IV | 1977 | 250623.714 |
| 907 | 12 | IV | 1977 | 179533.714 |
| 505 | 13 | IV | 1977 | 102494.857 |
| 311 | 14 | IV | 1977 | 74403.1429 |
| 206 | 15 | IV | 1977 | 44651.5714 |
| 215 | 16 | IV | 1977 | 46953.5714 |
| 228 | 17 | IV | 1977 | 54924.2857 |
| 172 | 18 | IV | 1977 | 29591.1429 |
| 291 | 19 | IV | 1977 | 76476.1429 |
| 270 | 20 | IV | 1977 | 59581 |
| 160 | 21 | IV | 1977 | 41030.1429 |
| 111 | 22 | IV | 1977 | 28579.4286 |
| 57 | 23 | IV | 1977 | 22707.5714 |
| 43 | 24 | IV | 1977 | 17242.4286 |
| 40 | 25 | IV | 1977 | 11668.7143 |
| 30 | 26 | IV | 1977 | 9229 |
| 3682 | 1 | V | 1980 | 15161652.6 |
| 3682 | 2 | V | 1980 | 8844278.29 |
| 3682 | 3 | V | 1980 | 5120454.57 |
| 3387 | 4 | V | 1980 | 1772898.57 |
| 3025 | 5 | V | 1980 | 1165040.57 |
| 2505 | 6 | V | 1980 | 1340427.71 |
| 2505 | 7 | V | 1980 | 1944470 |
| 2015 | 8 | V | 1980 | 799467 |
| 1550 | 9 | V | 1980 | 421755.857 |
| 1077 | 10 | V | 1980 | 303789.143 |
| 783 | 11 | V | 1980 | 142854.857 |
| 502 | 12 | V | 1980 | 85785.1429 |
| 352 | 13 | V | 1980 | 52545.1429 |
| 441 | 14 | V | 1980 | 70452.4286 |
| 388 | 15 | V | 1980 | 45788.2857 |
| 388 | 16 | V | 1980 | 41332.7143 |
| 360 | 17 | V | 1980 | 39414.5714 |
| 205 | 18 | V | 1980 | 24388.8571 |
| 151 | 19 | V | 1980 | 17734.5714 |
| 95 | 20 | V | 1980 | 14462.7143 |
| 80 | 21 | V | 1980 | 12256.4286 |
| 72 | 22 | V | 1980 | 4412 |
| 15 | 23 | V | 1980 | 786.285714 |
| 7 | 24 | V | 1980 | 455.285714 |
| 3855 | 1 | VI | 1983 | 17580664.1 |
| 3855 | 2 | VI | 1983 | 7119019.71 |
| 3805 | 3 | VI | 1983 | 3913192.71 |
| 3004 | 4 | VI | 1983 | 2412629 |
| 2725 | 5 | VI | 1983 | 1652119.43 |
| 2002 | 6 | VI | 1983 | 977608.429 |
| 1460 | 7 | VI | 1983 | 643752.429 |
| 1008 | 8 | VI | 1983 | 404027.429 |
| 605 | 9 | VI | 1983 | 240410.429 |
| 409 | 10 | VI | 1983 | 169831.286 |
| 310 | 11 | VI | 1983 | 107789.429 |
| 248 | 12 | VI | 1983 | 80801.4286 |
| 391 | 13 | VI | 1983 | 95609.8571 |
| 391 | 14 | VI | 1983 | 90454.4286 |
| 321 | 15 | VI | 1983 | 38485 |
| 228 | 16 | VI | 1983 | 29893 |
| 246 | 17 | VI | 1983 | 25054 |
| 164 | 18 | VI | 1983 | 11661.4286 |
| 119 | 19 | VI | 1983 | 9036 |
| 74 | 20 | VI | 1983 | 8862.57143 |
| 55 | 21 | VI | 1983 | 7250 |
| 55 | 22 | VI | 1983 | 5731.71429 |
| 3858 | 1 | I | 1999 | 20897581.3 |
| 3858 | 2 | I | 1999 | 9015073 |
| 3858 | 3 | I | 1999 | 3487897.43 |
| 3325 | 4 | I | 1999 | 1834563.57 |
| 2750 | 5 | I | 1999 | 1438515.14 |
| 2424 | 6 | I | 1999 | 1818900.29 |
| 2316 | 7 | I | 1999 | 1315771.29 |
| 1555 | 8 | I | 1999 | 510037.571 |
| 1003 | 9 | I | 1999 | 345916.714 |
| 560 | 10 | I | 1999 | 159016.429 |
| 340 | 11 | I | 1999 | 96117.5714 |
| 245 | 12 | I | 1999 | 69097 |
| 160 | 13 | I | 1999 | 49419.4286 |
| 441 | 14 | I | 1999 | 136217 |
| 422 | 15 | I | 1999 | 93123.1429 |
| 331 | 16 | I | 1999 | 57197.7143 |
| 231 | 17 | I | 1999 | 39329.1429 |
| 191 | 18 | I | 1999 | 29226.5714 |
| 140 | 19 | I | 1999 | 22458.7143 |
| 89 | 20 | I | 1999 | 14974.7143 |
| 4285 | 1 | II | 2002 | 19483946.1 |
| 4285 | 2 | II | 2002 | 7050087.71 |
| 4005 | 3 | II | 2002 | 3828435.43 |
| 3125 | 4 | II | 2002 | 2158583 |
| 2585 | 5 | II | 2002 | 1212925.71 |
| 1955 | 6 | II | 2002 | 817540.571 |
| 1322 | 7 | II | 2002 | 488799.571 |
| 1017 | 8 | II | 2002 | 417103.143 |
| 775 | 9 | II | 2002 | 193287.571 |
| 589 | 10 | II | 2002 | 143490.429 |
| 320 | 11 | II | 2002 | 59758.8571 |
| 241 | 12 | II | 2002 | 41315.4286 |
| 408 | 13 | II | 2002 | 74103.8571 |
| 377 | 14 | II | 2002 | 54086.4286 |
| 283 | 15 | II | 2002 | 38864.1429 |
| 225 | 16 | II | 2002 | 27574.1429 |
| 159 | 17 | II | 2002 | 18940 |
| 105 | 18 | II | 2002 | 14270.4286 |
| 90 | 19 | II | 2002 | 9984.85714 |
| 56 | 20 | II | 2002 | 8214.28571 |
| 52 | 21 | II | 2002 | 4788.28571 |
| 38 | 22 | II | 2002 | 2020.85714 |
| 4325 | 1 | III | 2005 | 21314847.9 |
| 4455 | 2 | III | 2005 | 6561318.43 |
| 4393 | 3 | III | 2005 | 3879632 |
| 3455 | 4 | III | 2005 | 1973952.71 |
| 2771 | 5 | III | 2005 | 1146060.29 |
| 1936 | 6 | III | 2005 | 718753.857 |
| 1508 | 7 | III | 2005 | 474352.286 |
| 1091 | 8 | III | 2005 | 403442.857 |
| 744 | 9 | III | 2005 | 173298.571 |
| 415 | 10 | III | 2005 | 78098.7143 |
| 301 | 11 | III | 2005 | 51525.8571 |
| 190 | 12 | III | 2005 | 33442.8571 |
| 505 | 13 | III | 2005 | 84180.1429 |
| 356 | 14 | III | 2005 | 51179.8571 |
| 245 | 15 | III | 2005 | 33814.8571 |
| 201 | 16 | III | 2005 | 21102 |
| 135 | 17 | III | 2005 | 17775.7143 |
| 95 | 18 | III | 2005 | 11938.8571 |
| 44 | 19 | III | 2005 | 7837.85714 |
| 44 | 20 | III | 2005 | 6345.28571 |
| 36 | 21 | III | 2005 | 3118.28571 |
| 23 | 22 | III | 2005 | 1052.42857 |
| 4125 | 1 | VII | 2015 | 24281289.7 |
| 4125 | 2 | VII | 2015 | 8218801.86 |
| 4125 | 3 | VII | 2015 | 3098252 |
| 3577 | 4 | VII | 2015 | 1644693.14 |
| 1840 | 5 | VII | 2015 | 1302432.86 |
| 1732 | 6 | VII | 2015 | 1294747 |
| 1732 | 7 | VII | 2015 | 918122.286 |
| 1507 | 8 | VII | 2015 | 442270.857 |
| 941 | 9 | VII | 2015 | 291175.571 |
| 725 | 10 | VII | 2015 | 168580.857 |
| 465 | 11 | VII | 2015 | 109324.714 |
| 365 | 12 | VII | 2015 | 71774.2857 |
| 409 | 13 | VII | 2015 | 93213.2857 |
| 321 | 14 | VII | 2015 | 77634.8571 |
| 303 | 15 | VII | 2015 | 45363.7143 |
| 208 | 16 | VII | 2015 | 30144.8571 |
| 122 | 17 | VII | 2015 | 20494.5714 |
| 94 | 18 | VII | 2015 | 14027.7143 |
| 85 | 19 | VII | 2015 | 12463.4286 |
| 66 | 20 | VII | 2015 | 8202.42857 |
| 4375 | 1 | VIII | 2017 | 32302438.4 |
| 4375 | 2 | VIII | 2017 | 10059634.3 |
| 4145 | 3 | VIII | 2017 | 4872357.86 |
| 3175 | 4 | VIII | 2017 | 2777846.71 |
| 2414 | 5 | VIII | 2017 | 1630078.29 |
| 1738 | 6 | VIII | 2017 | 963457.571 |
| 1328 | 7 | VIII | 2017 | 558613 |
| 1092 | 8 | VIII | 2017 | 564588.286 |
| 810 | 9 | VIII | 2017 | 196717.429 |
| 601 | 10 | VIII | 2017 | 136677.857 |
| 320 | 11 | VIII | 2017 | 76497 |
| 252 | 12 | VIII | 2017 | 53219.8571 |
| 407 | 13 | VIII | 2017 | 86566.5714 |
| 330 | 14 | VIII | 2017 | 57112.1429 |
| 240 | 15 | VIII | 2017 | 35131 |
| 163 | 16 | VIII | 2017 | 22387.2857 |
| 225 | 17 | VIII | 2017 | 21222.2857 |
| 85 | 18 | VIII | 2017 | 10420.1429 |
| 78 | 19 | VIII | 2017 | 5208.14286 |
In: Statistics and Probability