Using the financial model simulate the effect of the proposed scenarios on this hospital’s profit.


Using the financial model (attached), and the Excel template provided, simulate (using Excel Solver) the effect of the proposed scenarios on this hospital’s profit.

a) Scenario 1: Set the max value of reduction across the revenue options at 30%

b)Scenario 2: Set the max value of reduction across the revenue options at 20%.

c)Scenario 3: Set the Shared Savings revenue at 50 (in the Baseline portion of the file).

  1. Which one of the proposed scenarios results in the bigger profit (net) for the hospital? Does your result (answer) make sense? Please explain.

2) Develop a strategy map for a primary care dental clinic. Using your own professional and academic research;

i) Determine five challenges facing primary care dentistry

ii) And develop a strategy map that this clinic should use to increase their market share in the field.

Make sure that the strategy map includes eight initiatives and that they touch the four perspectives. Also, include targets for each initiative, and make sure that the metrics for these targets are a mix of leading and lagging indicators.

iii) Beside the strategy map, you should also submit a document (or additional slides in the PowerPoint document with the strategy map) where you address how the challenges found influence the field of primary care dentistry.

iv) You should also discuss how the initiatives proposed relate to the challenges presented, and how they could contribute to the desired increase in market share.

A template for the strategy map is posted on Blackboard. You can definitely use the template to develop your strategy map.

Write 2 simple statements and 3 compound statements in sentence form. For the compound statements, use a different connective for each. You need to have a negation in at least one of your compound statements. Underline the connectives.


1a) Write 2 simple statements and 3 compound statements in sentence form. For the compound statements, use a different connective for each. You need to have a negation in at least one of your compound statements. Underline the connectives.

b). Write your 3 compound statements symbolically.

c. Write truth tables for your three compound statements. Construct a truth table for the following statements:

i) ~q → p

ii) (p ∧ q) → (q ∧ p)

iii) r ↔ (p ∨ ~q)

3)How many lines would a truth table for the following statement contain? For bonus points, construct the truth table.

(~p ∧ ~q) → (s → r)

4)Let p be “it is raining”, q be “I will go outside”, r be “I will bring an umbrella” and s be “I will get wet”.

Translate the following sentences into symbolic logic:

a) If it is not raining, I will go outside.

b)It is raining and I will bring an umbrella or I will get wet.

c)If it is raining, I will go outside and if I bring an umbrella, I will not get wet.

d)If and only if it is raining, I will get wet if I go outside and do not bring an umbrella.

5) Show that the following pairs of statements are equal to each other using truth tables.

a) p ∨ (q ∧ r) = (p ∨ q) ∧ (p ∨ r)

b)p → q = ~q → ~p

6) Bonus: Create 4 statements in the mold of the statements in number 4. The statements should be at least somewhat related. Write 4 sentences using these statements, translate these sentences into symbolic logic and write truth tables for the four.

What is the KEY ARGUMENT being communicated by the author based on their main research findings?.

  1. What is the KEY ARGUMENT being communicated by the author based on their main research findings?. (This is not a summary of the article; this is not what the article is “about”; it is the central argument based on the research evidence provided by the author). (3 marks)
  2. What is the author’s research method? (i.e. how does he/she collect the data?) What are the size and characteristics of the sample? (2 marks)
    Sample size:
    Sample characteristics:
  3. Outline two pieces of data that the author uses to support his/her argument that are drawn from his/her research (Not just 2 random facts from the article – this must be data from the research that the author uses to support the main idea that you identify above.). Explain how the evidence is related to the main idea. (2 X 2 = 4 marks)
    a) Data:
    Relation to the main argument:
    b) Data:
    Relation to the main argument:
  4. Is the information provided verifiable and well-researched? Use the factors listed on the hint sheet to make your evaluation. (3 marks)
    A mark out of 3 (1=poor; 2=good; 3= excellent) will be assigned for grammar, spelling, and style of communication

Supply and Demand Tug of War Is at the Forefront After a Mixed Week of Data

Data from this week consisted of a series of highs and lows, as the mixture of lingering supply chain issues, rising prices and still-strong consumer demand continues to make its way into economic data. The week began on a positive note, as new home sales increased 14% to a 800K-unit pace last month following existing home sales, which rose 7% last week. Home buying’s second wind combats the notion that growth in the housing market is slowing after over a year of bustling activity. In recent months, much of the pessimism surrounding the housing sector was a result of builders’ inability to get the materials and labor needed to complete homes, much less afford them, as well as the pricing out of many first-time or lower-income home buyers. Some of these concerns should subside as builders are creatively navigating supply constraints. Completed homes rose to a six-month-high, reaching a 207K-unit pace, and price growth subsided to a still-elevated 18.7% year-over-year increase in September, down from 23.3% the prior month. However, with the number of homes put up for sale but not yet started rising to its highest since 2006, supply chain issues still appear to be having an impact on the sector.

The first gain in consumer confidence in three months was another early-week upside surprise. After months of confidence missing expectations, a recharged consumer is welcome news. The increase was due to renewed optimism around both consumers’ present situations and expectations for the future, which bumped the headline four points to 113.8. Consumers’ positive views on the labor market contributed to the rise in confidence, as did the recent decline in COVID cases.

Encouragingly, consumers also expressed a willingness to pack their bags for vacation and hit the stores during the holiday season. Nearly half of consumers (47.6%) responded they were planning to go on vacation in the next six months, the highest proportion since the start of the pandemic. Buying plans for large appliances, vehicles and homes in the next six months all rose as well, signaling that consumers may intend to spend more in the near-future. Until these plans are realized, we know there is an element of hearsay to these estimates, but personal spending data this week also showed signsof robust consumer demand. Spending rose 0.6%in September, despite a 1.0%decline in personal income, and was driven mostly by continued strength in the service sector. In particular, recreation services and food services and accommodations led the gains in September, rising 1.7% and 1.3% over the month, respectively. Although September’s headline growth falls below the 1.4%averaged in the first two quarters, personal spending is already 3% above its pre-pandemic level (see chart). Encouragingly, real spending, which accounts for price increases, also rose for the second consecutive month, its first back-to-back monthly increase since this spring as a result of the acceleration of price growth this summer.

Summarize the sections below

In the second half of the week, we learned that the U.S. economy expanded at a 2.0% annualized rate in the third quarter (see chart), below the consensus expectation for a 2.6% gain. There was evidence of supply chain constraints throughout the underlying data as bottlenecks drove prices higher and made many goods simply unavailable. After two consecutive quarters of inventories being a drag on growth, they added 2.1 points and were the only reason growth did not stagnate. Remarkably, this lift came merely from a slower drawdown in stockpiles. Trade, on the other hand, was a sizable drag on headline GDP growth for the fifth consecutive quarter amid resilient domestic demand, shaving 1.7 points off of top-line growth. This was expected after September’s advance trade data, which showed the deficit widening to -$96.3B. While imports were able to notch a 6.1% gain in Q3, exports fell by 2.5%.

It was broadly expected that real personal consumption expenditures (PCE) would have some fallout while navigating the rocky terrain of the Delta variant and stifled production as labor and material shortages plagued factories’ ability to produce, but the 1.6% increase exceeded expectations. While this would be nothing to scoff at pre-COVID, the 1.6% boost looks tiny compared to the over 12% annualized pace we saw in the two preceding quarters. While services more than pulled its weight in the third quarter, rising at a 7.9% annualized pace, goods spending fell victim to the air pocket that we had been warning about, and sunk 9.2% in Q3. Durables in particular were to blame, as they receded 26.2% in the third quarter. Rising prices also cut into real gains across the board, as the PCE deflator rose at a 5.3% annualized rate in the third quarter. That boosted the year-over-year rate of consumer inflation to 4.4%—the highest in over 30 years. We look for prices to come down over next year, but not fully back to the Fed’s 2% target as expected by policymakers.

Real equipment spending was rather weak during the quarter, with a 3.2% annualized dip due largely to holdups in production. The manufacturing sector has been struggling with rising backlogs and wait times, as there are still bottlenecks at the nation’s largest ports—in recent days, over 70 container ships have been idling in the ports of Los Angeles and Long Beach as they wait to unload their products. In this week’s durable goods release, total unfilled orders rose for the eighth consecutive month in September, while backlogs of core capital goods rose to a record high of $235B. This is consistent with the recent upward march in the ISM supplier deliveries index, as moving product from one place to another has become an expensive and arduous task.