Questions
Question 6 What is the difference between descriptive and inferential statistics? Provide an example to each....

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.

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...

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...

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...

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

what role did religion play during scientif revolution , how did catholic church view sciences role...

what role did religion play during scientif revolution , how did catholic church view sciences role compared to protestanism , where does nature meet good.

In: Psychology

How is Martin Luther King viewed by fellow clergymen (church leaders)? How does he feel about...

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...

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...

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...

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