what do you think about this article: Give your opinion about the article. "President Trump and Senator Elizabeth Warren make odd antitrust bedfellows. Ms. Warren, the Massachusetts Democrat, says megadeals like Aetna’s $77 billion sale to CVS could kill competition. She also backs the Justice Department’s fight against an AT&T-Time Warner merger and has concerns about past merger remedies. That puts her in the same camp as the president. She laid out her views on deal-making in a speech on Wednesday. AT&T’s $85 billion acquisition of Time Warner, she said, would mean higher prices, fewer choices and worse service for consumers. That echoes Mr. Trump’s antitrust chief, Makan Delrahim, and the Justice Department’s November lawsuit to block the deal, which asserted that the merger would leave millions of television viewers paying more and would slow innovations like video streaming. Ms. Warren also said past concession agreements that allowed certain mergers to go forward had been “epic failures.” That almost feels like a hat tip to Mr. Delrahim, who in a speech last month said past behavioral remedies to address antitrust concerns had not worked out as planned and had been difficult to enforce. He cited Comcast’s takeover of NBCUniversal as an example, adding extra execution risk to vertical mergers in which deal partners don’t directly compete. His tough stance surprised the corporate sector, which had expected easier deal reviews under the Trump administration. It’s also rare for vertical mergers, like AT&T’s acquisition of Time Warner, to face court challenges since they are usually approved with conditions. Ms. Warren argued that big vertical deals needed to be viewed as critically as horizontal mergers and said Aetna’s sale to CVS would be a test for antitrust enforcers. It’s unclear whether the Justice Department, which reviews insurance-industry deals, or the Federal Trade Commission, which assesses the pharmaceutical and retail sectors, has jurisdiction over the merger. Ms. Warren did admit she was worried about whether the Justice Department’s AT&T lawsuit was politically motivated given Mr. Trump’s attacks on CNN, which Time Warner owns. She also branded Mr. Delrahim as someone with a “long record” of backing bad mergers. Still, in rare praise of the Trump administration, Ms. Warren said the Justice Department’s move to block the AT&T-Time Warner deal was “a good step.” Such an alliance of convenience puts more pressure on big M&A."

In 2 typed double spaced pages, Write about about the Happiest moment in your life. What was the event and describe what was going through your mind and body. What is happiness to you and are you happy overall?

A candy company claims that their packages typically have 50 red candies, 40 yellow candies, 25 blue candies, 25 brown candies, and 10 orange candies. A study looked at a package, where it was found that the average package has 48 red candies, 42 yellow candies, 20 blue candies, 26 brown candies, and 14 brown candies. Do these observations contradict the company’s claim? Use a significant level of 0.05.

The colours red, blue, and yellow are known as the primary colours because they cannot be made

by mixing other colours. When you mix two primary colours, you get one of following secondary

colour:

- Mix red and blue: purple

- Mix red and yellow: orange

- Mix blue and yellow: green

Write a function colour_mix that takes two strings as parameters as two primary colours and

returns the secondary colour. If the parameters are anything other than "red", "blue", or

"yellow", the function should return the string "Error". Save the function in a PyDev library

module named functions.py

Write a main program named t05.py that tests the function by asking the user to enter the names

of two primary colours to mix and displays the mixed colour.

A sample run:

Enter a first colour: red

Enter a second colour: blue

The mixed colour is purple.

Or

Enter a first colour: red

Enter a second colour: brown

The mixed colour is Error

• Test your program with 2 different data, other than the example.

• Copy the results to testing.txt.

please

Background

You will need to purchase a regular-sized bag of milk chocolate M&M’s for this project.

Let’s work to answer a very important question, vexing humankind for decades: Are the colors evenly distributed in a bag of M&M's????   Is the company reporting accurate color percentages for their product? This activity will guide you through constructing a confidence interval for the proportion of M&M's in a particular color.

M&M says:

On average, our mix of colors for M&M'S CHOCOLATE CANDIES is:

M&M'S MILK CHOCOLATE: 24% cyan blue, 20% orange, 16% green, 14% bright yellow, 13% red, 13% brown.

Each large production batch is blended to those ratios and mixed thoroughly. However, since the individual packages are filled by weight on high-speed equipment, and not by count, it is possible to have an unusual color distribution.

Part 1: Confidence Interval for Single Bag (20 points)

Milk Chocolate M&M’s come in 6 colors; blue, orange, green, yellow, red, and brown.

1. Choose your favorite color of M&M’s you will be working with for this project. State the color and give the counts below.

Color of choice:

Number of M&M's in your color:

Total number of M&M's:

Proportion of M&M's in your color:

2. Construct a 95% confidence interval for the proportion of M&M’s one can expect to find in the color of your choice.

3. Give an interpretation of your interval.

4. Find the margin of error for your interval.

5. Check the requirements for constructing a confidence interval for the proportion are satisfied. Show your work. (See the note in the gray/blue box on page 426)

6. The conditions might not be satisfied, depending on how many candies were in your bag. If the conditions are not met, what could you do? (Note—you don’t have to redo the experiment to meet the conditions, just say what you would do.)

7. Does your interval contain the stated proportion by M&Ms for the color you chose?

8. If you had a larger sample, how would you expect the confidence interval to be affected? Provide justification.

Background

You will need to purchase a regular-sized bag of milk chocolate M&M’s for this project.

Let’s work to answer a very important question, vexing humankind for decades: Are the colors evenly distributed in a bag of M&M's????   Is the company reporting accurate color percentages for their product? This activity will guide you through constructing a confidence interval for the proportion of M&M's in a particular color.

M&M says:

On average, our mix of colors for M&M'S CHOCOLATE CANDIES is:

M&M'S MILK CHOCOLATE: 24% cyan blue, 20% orange, 16% green, 14% bright yellow, 13% red, 13% brown.

Each large production batch is blended to those ratios and mixed thoroughly. However, since the individual packages are filled by weight on high-speed equipment, and not by count, it is possible to have an unusual color distribution.

Part 1: Confidence Interval for Single Bag (20 points)

Milk Chocolate M&M’s come in 6 colors; blue, orange, green, yellow, red, and brown.

1. Choose your favorite color of M&M’s you will be working with for this project. State the color and give the counts below.

Color of choice:

Number of M&M's in your color:

Total number of M&M's:

Proportion of M&M's in your color:

2. Construct a 95% confidence interval for the proportion of M&M’s one can expect to find in the color of your choice.

3. Give an interpretation of your interval.

4. Find the margin of error for your interval.

5. Check the requirements for constructing a confidence interval for the proportion are satisfied. Show your work. (See the note in the gray/blue box on page 426)

6. The conditions might not be satisfied, depending on how many candies were in your bag. If the conditions are not met, what could you do? (Note—you don’t have to redo the experiment to meet the conditions, just say what you would do.)

7. Does your interval contain the stated proportion by M&Ms for the color you chose?

8. If you had a larger sample, how would you expect the confidence interval to be affected? Provide justification.

PLEASE DO NOT ATTEMPT MY QUESTION WITH ANY SHORT ANSWER OR MEDIOCORE ANSWER. I AM A UNIVERSITY STUDENT AND I NEED TO UNDERSTAND IT BEYOND THE SURFACE INFORMATION.

IMPACT OF HEALTHCARE TECHNOLOGY ON PANDEMICS
Imagine your daily routine being entirely dependent on a smartphone app. Leaving your home, taking the subway, going to work, entering cafes, restaurants and shopping malls, where each move is dictated by the color shown on your screen. Green: you're free to proceed. Amber or Red: you're barred from entry.

SETTING IS: JAMAICA

1) What are the barriers to effectively deploy the use of Healthcare Technology to successfully manage pandemics?

2) Identify how Healthcare Technology can be a driver for shaping the new normal necessary for successfully realising the “Vision 2030 Jamaica National Development plan”.

Please answer both parts of the question, and provide detail The Nelson Company has $1,495,000 in current assets and $650,000 in current liabilities. Its initial inventory level is $455,000, and it will raise funds as additional notes payable and use them to increase inventory. 1. How much can Nelson's short-term debt (notes payable) increase without pushing its current ratio below 1.4? Round your answer to the nearest cent. 2. What will be the firm's quick ratio after Nelson has raised the maximum amount of short-term funds? Round your answer to two decimal places.

Please answer both parts of the question, and provide detail

The Nelson Company has $1,495,000 in current assets and $650,000 in current liabilities. Its initial inventory level is $455,000, and it will raise funds as additional notes payable and use them to increase inventory.

1. How much can Nelson's short-term debt (notes payable) increase without pushing its current ratio below 1.4? Round your answer to the nearest cent.

2. What will be the firm's quick ratio after Nelson has raised the maximum amount of short-term funds? Round your answer to two decimal places.

25% of Flapper fish have red spots, the rest have blue spots. A fisherman nets 10 flapper fish. What are the probabilities that:

(i) exactly 8 have blue spots ?

(ii) atleast 8 have blue spots ?

A large number of samples, each of 100 flapper fish are taken.

(iii) What is the mean and standard deviation of the number of red spotted fish per sample ?

(iv) What is the probability of a sample of 100 flapper fish containing over 30 with red spots ?