A Relaxin receptor agonist drug (RRA01) for the acute heart failure treatment is developed by the Sunny Pharmaceutical Company. It is a publicly traded company. The reduction of cardiovascular death (mortality) was used as the end point (results of the research) for this investigation. The null hypothesis is “there is no difference in the cardiovascular mortality reduction between patients who received RRA01 (treatment group) and those who did not receive RRA01 (control group). Discuss the impact (on the company and/or on the patients) of the following two possible clinical trial results to the Sunny Pharmaceutical Company, staff of the company, and the patients. 1. p = 0.002 as the hypothesis test results 2. p = 0.3 as the hypothesis test results.

At a point in a stressed body, the principal stresses are 100 MN/m2
(tensile) and 60 MN/m2
(compressive). Determine the normal stress and
the shear stress on a plane inclined at 50degree
counter clockwise to the axis
of minor principal stress. Also, calculate the maximum shear stress at the
point and draw the Mohr’s stress circle to verify the answers.
If the yield strength and Poisson’s ratio of the material in the above case
is 240 MPa and 0.3 respectively, check whether the failure will occur or
not according to (a) Maximum principal strain theory and (b) Maximum
shear strain energy per unit volume theory. If failure does not occur,
calculate the Factor of Safety.

How can I reduce data set by deleting any rows that have all FALSE bool values for every column in
that row using pandas. Assuming there are 20+ columns/rows to loop through. Example: The table data below the pandas code should drop/reduce the data to remove the second & fifth row. True and False in the table are dtype bool.

2. Table below shows monthly beer sales at Gordon’s Liquor Store in 2017.

a) Forecast beer sales needed for January 2018 using an exponential smoothing method

α = 0.2, α = 0.4 and α = 0.9

b) Compute an adjusted exponential smoothing for the data using:

α = 0.3 and β = 0.5, α = 0.2 and β = 0.6

c) Calculate MSE for Ft and Aft

A perceptron with a unipolar step function has two inputs with weights w1= 0.5 and w2= -0.2, and a threshold theta=0.3 (theta can therefore be considered as a weight for an extra input which is always set to -1). The perceptron is trained using the learning rule ∆w = η (d − y) x, where x is the input vector, η is the learning rate, w is the weight vector, d is the desired output, and y is the actual output.What are the new values of the weights and threshold after one step of training with the input vector x = [0, 1]^T and desired output 1, using a learning rate η = 0.5?

Download the dataset returns.xlsx. This dataset records 83 consecutive monthly returns on the stock of Philip Morris (MO) and on Standard & Poor’s 500 stock index, measured in percent. Investors might be interested to know if the return on MO stock is influenced by the movement of the S&P 500 index. Please be aware that return is defined as new price − old price old price × 100%, so it is always reported as a percentage.

1. What is the response and explanatory variable for this dataset?

2. Create a scatterplot between the two variables and describe the form, direction, and strength of the linear relationship between the two variables.

3. Create a residual plot (residuals on y-axis, explanatory variable on x-axis).

4. Based on your answers to parts 2 and 3, are the assumptions for the regression model met? Address the linearity and constant variance assumptions.

5. Verify the values of the following: the sample means of the monthly returns of MO stocks and S&P stocks are 1.8783 and 1.3036 respectively; the sample standard deviations of the monthly returns of MO stocks and S&P stocks are 7.5539 and 3.3915 respectively.

Project Risk Response

Risk responses and action steps are defined during the risk response planning phase. Here the project team must plan the actions that will be taken should any identified risk actually materialize. This is typically done for some subset of the total population of risk issues identified—most likely those that are of the highest probability and/or impact. Risks can be both negative (threats) and positive (opportunities). The possible strategies for responding to negative risks include the following: avoid, transfer, mitigate, and accept. The possible strategies for responding to positive risks include the following: exploit, enhance, share, and accept.

QUESTION

Based on the below risk register regarding the Pepsi Refresh Program

Document the risk triggers in the project risk register in Column G.

Document risk response strategies (plans) for each risk in the project risk register in Columns L–M. The risk response strategies should be derived from the eight strategies of; responding to negative risks include the following: avoid, transfer, mitigate, and accept. The possible strategies for responding to positive risks include the following: exploit, enhance, share, and accept.

***Please Use The Scroll Bar To See Columns L-M*****

Create a supply and demand graph illustrating the scenario, the shock, and the predicted effects on wages and employment:

Scenario #1

Airbnb has housed over 150 million guests in over 65,000 cities since 2008. Do a bit of research on what Airbnb is and how cities and the hotel industry has been responding to it. Using standard supply and demand graphs from the course, model the labor market for hotel workers, pre-Airbnb, and show how Airbnb has likely affected the market.

Scenario #2

We all love to go to little, local ice cream shops. Many of these places hire teenagers over the summer to serve these delicious treats for us. Suppose that a new minimum wage bill comes online this summer, raising the minimum to $10/hour. Create two graphs: 1) model the market for these ice cream shop workers and how shop owners will likely respond to the minimum wage increase immediately after it happens; 2) model what would happen if a company starts using very cheap robot ice cream servers.

Scenario #3

Research and find specific examples of immigrants working as a) substitutes for U.S. workers and b) compliments to U.S. workers. Make sure you put the correct graph with each story.

Scenario #4

Many parts of the U.S. have a shortage of IT workers... not enough people are trained in these fields. Model the market for IT workers. What would happen if a new training program was targeted toward people in Appalachia who have a hard time finding work... the program trains this group to be IT technicians.

Scenario #5

You are looking at the labor market for young, childless males seeking work with low-paying employers (i.e. Wal-Mart). With a supply and demand graph, show the effects of expanding the EITC to these workers. Illustrate an initial equilibrium (before EITC), the shift due to the new EITC expansion, and point out the wage they get paid from the employer and the additional “pay” they get due to the EITC.

NewTech Medical Devices is a medical devices wholesaler that commenced business on June 1, 2019. NewTech Medical Devices purchases merchandise for cash and on open account. In June 2019, NewTech Medical Devices engaged in the following purchasing and cash payment activities:

Required:
Journalize the transactions in a general journal.


Analyze:
What was the amount of trade discounts received on the June 15 purchase from Park Research?

Q1

[The following information applies to the questions displayed below.]

At year-end December 31, Chan Company estimates its bad debts as 0.40% of its annual credit sales of $759,000. Chan records its Bad Debts Expense for that estimate. On the following February 1, Chan decides that the $380 account of P. Park is uncollectible and writes it off as a bad debt. On June 5, Park unexpectedly pays the amount previously written off.

Prepare Chan's journal entries to record the transactions of December 31, February 1, and June 5.

Q2

Liang Company began operations in Year 1. During its first two years, the company completed a number of transactions involving sales on credit, accounts receivable collections, and bad debts. These transactions are summarized as follows.

Year 1

1. Sold $1,351,400 of merchandise (that had cost $981,600) on credit, terms n/30.
2. Wrote off $20,400 of uncollectible accounts receivable.
3. Received $667,900 cash in payment of accounts receivable.
4. In adjusting the accounts on December 31, the company estimated that 1.10% of accounts receivable would be uncollectible.

Year 2

5. Sold $1,587,000 of merchandise (that had cost $1,251,700) on credit, terms n/30.
6. Wrote off $33,300 of uncollectible accounts receivable.
7. Received $1,374,300 cash in payment of accounts receivable.
8. In adjusting the accounts on December 31, the company estimated that 1.10% of accounts receivable would be uncollectible.

Required:
Prepare journal entries to record Liang’s Year 1 and Year 2 summarized transactions and its year-end adjustments to record bad debts expense. (The company uses the perpetual inventory system, and it applies the allowance method for its accounts receivable.) (Round your intermediate calculations to the nearest dollar.)

Prepare Chan's journal entries to record the transactions of December 31, February 1, and June 5.

Please and thank you! my last two problems in accounting!