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The first is a Scenario Analysis of best, average, and worst case scenarios driven by the COVID-19 global outbreak.
● ● ● ● Inclusion of all requested elements into presentation Quality of your ideas and rationale behind decisions Presentation skills Q&A session Page 1 of 6 SCENARIOS SCENARIO A - TRANSIT COMPANY MICROSITE OR LANDING PAGE A transit company needs a microsite or landing page to celebrate a special anniversary of being in business, providing transit daily to thousands of commuters across the city.
43 Damaging Sor Gharax 16 WordBearers Weapons 17 Kurthasedd Scenarios 2.I Word Bearers Tactical Legionary ...............................
7/31/2015 J M T - Scenarios - DOTABUFF - Dota 2 Stats JMT Scenarios 27 minutes ago 877 ‑ 785 ‑ 31 51.80% LAST MATCH GIFT RECORD FOLLOW WIN RATE ESPORTS PROFILE errgh DOTABUFF ALL TIME, ALL SKILL BRACKETS, ALL LOBBIES, ALL MODES, ANY FACTION, ANY Overview DURATIONMatches Scenarios More ▾ ▾ All Time ▾ All Modes All Skill Brackets All Time ▾ All Heroes Any Duration ▾ ▾ All Lobbies ▾ Lobby Types Last 6 Months All Skill Brackets Game Modes Factions Regions This Month Lifetime Matches Win Rate Time Played All Matches 1,853 51.70% 46d 19h 32m 1,792 51.23% 45d 23h 45m 1,693 51.80% 44d 23h 58m 61 65.57% 0d 19h 46m Skill Brackets Matches Win Rate Time Played Very High 1,080 51.20% 26d 3h 47m 152 51.97% 3d 18h 1m 80 46.25% 1d 11h 15m Lobby Types Matches Win Rate Time Played Ranked MM 1,319 50.80% 34d 22h 47m 455 52.53% 10d 21h 27m 14 50.00% 0d 1h 52m 4 50.00% 0d 1h 38m Game Modes Matches Win Rate Time Played All Pick 1,622 51.60% 43d 5h 10m Last Match 27 minutes ago Stats Recorded Last Match 27 minutes ago Significant Last Match 27 minutes ago No Stats Recorded Last Match 5 days ago Last Match 27 minutes ago High Last Match about 4 hours ago Normal Last Match 2 days ago Last Match 27 minutes ago Normal MM Last Match about 4 hours ago Custom Last Match a day ago Tournament Last Match 11 months ago http://www.dotabuff.com/players/119608468/scenarios 1/2 7/31/2015 J M T - Scenarios - DOTABUFF - Dota 2 Stats Last Match 27 minutes ago Captains Mode 24 58.33% 0d 16h 1m 23 13.04% 0d 6h 16m 14 50.00% 0d 1h 52m 9 33.33% 0d 5h 0m 6 66.67% 0d 3h 41m 6 50.00% 0d 3h 5m 5 80.00% 0d 3h 48m 1 100.00% 0d 0h 31m 1 0.00% 0d 0h 29m Factions Matches Win Rate Time Played Dire 908 48.57% 22d 23h 43m 884 53.96% 23d 0h 1m Regions Matches Win Rate Time Played US East 1,527 50.56% 40d 2h 53m 219 59.36% 5d 5h 31m 16 18.75% 0d 3h 53m 13 46.15% 0d 5h 53m 8 50.00% 0d 1h 37m 6 50.00% 0d 2h 57m 1 0.00% 0d 0h 38m 1 0.00% 0d 0h 9m 1 0.00% 0d 0h 10m Last Match a day ago All Random DM Last Match 7 months ago 1v1 Mid Last Match a day ago All Random Last Match 2 days ago Ability Draft Last Match 8 months ago Random Draft Last Match about 4 hours ago Single Draft Last Match 2013‑11‑13 Least Played Last Match 2013‑11‑05 Limited Hero Pool Last Match 2013‑08‑08 Last Match about 22 hours ago Radiant Last Match 27 minutes ago Last Match 27 minutes ago Europe West Last Match about 16 hours ago Russia Last Match 5 days ago Europe East Last Match 7 days ago SE Asia Last Match 2013‑01‑03 US West Last Match 17 days ago Australia Last Match 7 months ago Brazil Last Match 2013‑01‑03 Dubai Last Match 2013‑01‑03 English (English) ▴ About FAQ Support Privacy Service Status Help Translate!
They modelled data up to 1970, then developed a range of scenarios out to 2100, depending on whether humanity took serious action on environmental and resource issues.
In this analysis, we consider two scenarios—one pessimistic, one optimistic— that we believe bookend the possibilities.
14, 2014 www.bendoregon.gov/bendugb Press “Click to begin” Although all of these community outcomes are very important to us, we think these five yield the most realistic results in the Scenarios section of the survey.
User sessions can be gathered from the application in business environments and represent user stories or scenarios.
Our revised scenarios also take into account the significant negative revisions to historical GDP data that the Bureau of Economic Analysis announced on July 29.
The second parI describes the individual scenarios and ojfers detailed slfolegiesfor oplimum play.
“We have also been working very closely with anesthesiologists from all over the country to collect and accurately simulate the most dif cult airway scenarios that they have encountered,” Mr.
email@example.com Slide - 42 - Scenarios √ Four views can work together by the use of small set of scenarios.
So we've done some research to help shed some light on this and I'm going to run through a few scenarios with you in this first example.
The mean taste quality score is not 9.25. What is the hypothesised value? [ 1 mark ] In which direction and how far away, in terms of standard errors, is the estimated taste quality score in Case 1 ( x 9.72 ) from the hypothesised value? [ 2 marks ] (b) Which case(s) demonstrates, at the 5% level, that the sample mean, x , is significantly different to the hypothesised value? [ 1 mark ] (c) For which case(s) are we able to claim that the true mean taste quality score using the new source of cocoa beans: (i) has practical significance? [ 1 mark ] (ii) does not have practical significance? [ 1 mark ] (d) In which case(s) have we learned nothing useful about the true mean taste quality score using the new source of cocoa beans? [ 1 mark ] (e) Suppose the actual outcome for the study is: (a) A study2 on customers of Boston (USA) coffee shops was conducted. The field study was interested in identifying or quantifying the presence of discrimination against customers in stores, restaurants and other small transaction consumer markets. Researcher assistants visited eight coffee shops and recorded information on orders made by 286 customers. Three of the variables used in the study are described below. (i) (ii) Case 6 x se(x ) P‐value 95% CI 8.45 0.1491 0.0000 (8.16, 8.74) Write three to five sentences interpreting this output. You need to refer to statistical significance and practical significance. Which source of cocoa beans (current or new) would you recommend? Give a reason(s) for your choice. [ 3 marks ] STATS 101 / 101G/ 108 Assignment 3 (a) What type of study is this: Experiment or Observational study? Briefly justify your choice. [ 2 marks ] (b) For this study describe the: [ 1 mark ] (i) units, (ii) treatment or factor of interest, (iii) response. (c) (i) Using iNZight, draw the appropriate plot(s) for this data set. (You should consider the design of this study to ensure the relevant plot(s) is drawn.) Do not use SPSS to draw the plot(s). [ 1 mark ] (ii) Comment on any features in the plot(s). [ 3 marks ] (d) Investigate whether, on average, there is a difference between the waiting times of female customers and those of male customers. Use SPSS to conduct a t‐test. Interpret your results. (You should consider the design of this study to ensure the appropriate t‐test is conducted.) [ 6 marks ] Reminder: Refer to the instructions on page 1 of this assignment: Hypothesis tests in this assignment. (e) Comment on the validity of the t‐procedures conducted in (d) by briefly discussing each assumption. [ 2 marks ] 2 Myers, C., Bellows, M., Fakhoury, H., Hale, D., Hall, A., and Ofman, K. (2010). Ladies first? A field study of discrimination in coffee shops. Applied Economics,44(2), 142–147. Page 3 Question 5. [ 21 marks ] [Second half of Chapter 8] Of interest was whether the waiting time differed depending on the age group of the customer. The 286 customers were categorised into three age groups: 15 – 25, 26 – 39, 40 and over and their waiting times were recorded. Question 6. [ 15 marks ] [Chapters 7 and 8] Below is some information regarding variables obtained from a survey of over 800 banking customers across New Zealand. Note: SPSS and Excel files of the data are available on Canvas on the STATS 10x Front page or look under Assignments Assignment 3. Click on: • CoffeeShopData-SPSS • CoffeeShopData-iNZight [ 1 mark ] (i) Use iNZight to draw the appropriate plots(s) for this data set. (ii) Comment on any features in the plot(s) in terms of the original story. [ 4 marks ] (b) Using SPSS provide the computer output of an F‐test on these data. Notes: • Refer to the SPSS Tutorial, pages 16 and 17, on Canvas. (Look under Software Information and Help SPSS Help.) • Ensure that you complete Step 1 through to Step 4 of the instructions on pages 16 and 17. (c) State the assumptions of the F‐test in terms of the original story. [ 4 marks ] (d) Calculate the ratio of the largest sample standard deviation for the waiting times to the smallest [ 1 mark ] sample standard deviation for the waiting times. (e) Comment on the validity of the F‐test by briefly discussing each assumption. [ 3 marks ] (f) Assume that an F‐test is an appropriate test to use here. (Note: It may not be.) [ 1 mark ] (i) State the null hypothesis for the test, both in words and using symbols. [ 1 mark ] (ii) State the alternative hypothesis for the test in words. (iii) What does the result of the F‐test tell you about the underlying mean waiting times for customers in the three age groups? Explain your answer in 1 to 2 sentences. [ 1 mark ] (g) (i) Assuming the Tukey’s pairwise comparisons are valid and appropriate. Investigate whether, on average, there is a difference between the waiting times for customers aged 15 to 25 years and that for customers aged 40 and over years. Interpret the P‐value and confidence interval. [ 2 marks ] Note: A conclusion is not required here. (ii) Between which pair (or pairs) of age groups were there significant differences (at the 5% [ 1 mark ] level) in the mean waiting times? (iii) Are we able to determine which age group has the longest underlying mean waiting times? If [ 1 mark ] so, name the age group. (h) In one to three sentences, provide an overall conclusion for this study. [ 1 mark ] (a) (a) Type The customer’s overall satisfaction with their main bank (on a scale from 0 – 10) Closeness The customer’s perceived closeness of the relationship with their personal banker (on a scale from 0 – 10) Bank The customer’s main bank: ANZ, ASB, BNZ, Kiwibank, Westpac, Other OnlyBank The customer’s main bank is their only bank: Yes, No Sex The customer’s sex: Male, Female Product The main banking product used by the customer: online account, current account, savings account, investment, loan Income The customer’s personal yearly income (in thousands of dollars) Performance The customer’s rating of the overall level of performance for their main bank (on a scale from 0 – 10) Advice The customer’s rating of availability of financial advice from their main bank (on a scale from 0 – 10) For each of the scenarios 1 to 5 below: [ 5 marks – 1 mark for each scenario ] (i) Write down the name of the variable(s), given in the table above, needed to examine the question. (ii) For each variable in (i) write down its type (numeric or categorical). (b) What tool(s) should you use to begin to investigate the scenarios 1 to 5 below? Write down the scenario number 1 to 5 followed by the appropriate tool. Hint: Refer to the notes in Chapter 1 in the Lecture Workbook. [ 5 marks – 1 mark for each scenario ] (c) STATS 101 / 101G/ 108 Assignment 3 Variable Satisfaction Given that the underlying assumptions are satisfied, which form of analysis below should be used in the investigation of each of the scenarios 1 to 5 below? Write down the scenario number 1 to 5 followed by the appropriate Code A to F. (See Page 5). [ 5 marks – 1 mark for each scenario ] Scenario 1 Is there is a difference between the personal yearly incomes of customers with one bank and that of customers with more than one bank? Scenario 2 Is a customer’s overall satisfaction with their main bank related to their main bank? Scenario 3 Does a customer’s rating of overall performance of their main bank differ from their rating of perceived closeness of the relationship with their personal banker? Scenario 4 Is there a difference between the proportion of female customers with one bank and the proportion of male customers with one bank? Scenario 5 Does a customer’s rating of availability of financial advice from their main bank depend on the main banking product used by the customer? Page 4 Code Form of analysis A One sample t‐test on a mean B One sample t‐test on a proportion C One sample t‐test on a mean of differences D Two sample t‐test on a difference between two means E Two sample t‐test on a difference between two proportions F One‐way analysis of variance F‐test STATS 101 / 101G/ 108 Assignment 3 Page 5
Initiative Phase Sea Movement Phase Air Mission Phase Air Defense Phase Air Attack Phase Surface Attack Phase Torpedo Attack Phase End of the Turn 4;*2*39 &3) 48.9.43 Speed and Movement Stacking Battle Map Features 99&(0 &3) *+*38* Range, Attack Type, and Attack Dice Resolving Attacks Line of Sight ++*(98 4+ &2&,* Damaged Aborted Crippled Destroyed Timing of Damage .7(7&+9 &3) .7'&8*8 5*(.&1 '.1.9.*8 (*3&7.48 Standard Scenario Convoy Scenario Major Engagement Scenario Constructing Your Own Scenarios Year Restrictions Historical Fleet Restrictions 1488&7>
(18.0) NLF may not be set up in enemy-occupied hexes in any of the scenarios.