Define and provide examples of the following terms

(a) aromatic (b) hydrophilic (c) combustion

(d) methylene group (e) methyl group (f) common name

(g) IUPAC name (h) conformations (i) Newman projection

(j) eclipsed (k) staggered   (l) gauche conformation

(m) anti conformation (n) catalytic cracking (o) cis-trans isomers of a ring

(p) chair conformation (q) boat conformation   (r) distorted boat

(s) half chair conformation (t) axial position (u) equatorial position

(v) chair-chair interconversion (w) fused ring system (x) bridged bicyclic compound

(y) bridgehead carbon atoms

Design Activity #1—Project Proposal: In the designated project activity Word file, please create a written report (single-spaced, minimum of 600 additional words, small paragraphs) that describes a new proposed product for a B2C or B2B app. Your report should include the following sections: Title of your project, Author name & date, Description of the intended product (the intended look and feel of the product (via a simple sketch), and how it will function for the user), Intended delivery platform (PC, smart phone, etc.), Description of the intended user audience, Rationale for the product (what market need is being addressed), How you might go about designing your product, How you might go about developing your product. Please be sure to include sub-headings (underlined) and a line space between each section of your report.

Why does the author of the lysene article believe that damages for antitrust are too small?

You wonder whether green tea lowers cholesterol.
(a) To research the claim that green tea lowers LDL (so-called bad) cholesterol, you ask a random sample of individuals to divulge whether they are regular green tea users or not. You also obtain their LDL cholesterol levels. Finally, you compare the LDL cholesterol levels of the green tea drinkers to those of the non-green tea drinkers. Explain why this is an observational study.
(b) Name some lurking variables that might exist in the study.
(c) Suppose, instead of surveying individuals regarding their tea-drinking habits, you decide to conduct a designed experiment. You identify 120 volunteers to participate in the study and decided on three levels of the treatment: a placebo, one cup of green tea daily, two cups of green tea daily. The experiment is to run for one year. The response variable will be the change in LDL cholesterol for each subject from the beginning of the study to the end. What type of experimental design is this?
(d) Explain how you would use blinding in this experiment.
(e) What is the factor? Is it qualitative or quantitative?
(f) What factors might you attempt to control in this experiment.
(g) Explain how to use randomization in this experiment. How does randomization neutralize those variables that are not controlled?
(h) Suppose you assigned 40 subjects to each of the three treatment groups. In addition, you decided to control the variable exercise by having each subject perform 150 minutes of cardiovascular exercise each week by walking on a treadmill. However, the 40 subjects in the placebo group decided they did not want to walk on the treadmill and skipped the weekly exercise. Explain how exercise is now a confounding variable.

There is a famous quote often attributed to Albert Einstein that says:

“No amount of experimentation can ever prove me right; a single experiment can prove me wrong.”

There is some dispute about whether Einstein ever said this, but it might reflect his sentiments as more accurately cited in the book Mathematical Problems in Elasticity (Remigio Russo 1996):

“At this time the anti-relativity clique in Germany […] published a book called 100 Authors Against Einstein. Einstein informed that press that if relativity was wrong they would only need one author.”

Each quote captures an important aspect of the Popperian hypothetico-deductive account of science: knowledge comes from experimental falsification of a hypothesis rather than from experimental confirmation of one.

QUESTION: Explain how an inductivist might respond to this claim regarding falsification and knowledge. Do you agree with this response? Explain and justify your answer. In doing so, consider to what extent inductivists and Popperians have mutually exclusive ideals of what makes science rational, or whether they are, in some way, complementary.

The next asset market that will have a bubble is the stock market.

Thanks, Chace. This is a really important point, as I suspect that many of you do not have a lot of market experience. The S&P 500 (aka "the stock market") dropped from about 3450 two 2200 or so in a matter of a couple of weeks (basically March 1-20), and has since staged a monster rebound.

I have some questions as it relates to bubbles and market timing:

1) What is a "V-bottom" in connection to stocks and What is a "dead-cat bounce" in the stock market, and why might the term have that name?

2) How does one tell in real-time whether they are witnessing a V-bottom or a dead-cat bounce? What does this insinuate about the risk of investing in stocks?

1. Explain the role of transparency and accountability within a benefits realization plan.

2. In your own words, how do you distinguish between the neutral zone and the new beginning that Bridges discusses in your readings?

3. CMH shares a leadership value ladder which includes tips for how to lead through change. If you were to add a third step in the ladder of leadership behaviors needed through change, what would it be? Explain your response.

*****************************************************
   *   USE UBUNTU (Linux) TERMINAL MODE COMMANDS ONLY  *
   *   DO NOT USE ANY EDITORS TO CREATE THIS PROGRAM   * 
   *****************************************************
   
1) Create a file called lastNameFirstNameInitialpgm3.sh  ex: robinsonMpgm1.sh

2) Append to the above file the necessary commands that when this file is executed 
   it will display the following:

- Using your own set of multi-line comments enter your program identification 
  as described in the Syllabus, example:
  
  <<ID
  ************************************************** 
  Author   : Your Name 
  Course   : Course Name and Times 
  Professor: Michael Robinson 
  Program  : Program Number, Purpose/Description 
             A brief description of the program 
  Due Date : mm/dd/yyyy 

  I certify that this work is my own alone. 
  **************************************************
  ID
  
- Append to the file the following commands that when this file is executed it will do the following:
  
 1) Display Hello my name is:
 2) Display My user name is:
 3) Display Todays date and time is:
 4) Display This file has x lines
 5) Display This file has x words
 6) Display this file has x bytes
 7) Display Please enter any number
 8) Display Your number $number * 2 = XXX and display press any key to continue
 9) Display a new clean screen      
10) Display Enter a line of numbers to be added
11) Using enhanced for loop, display all numbers entered delaying the output
    of each number by 1 second each and then the total of adding thoses numbers:
    ex: 20 5 3 = 28
12) Using a while true loop request, accept and display data until it ends on 
    input mod 5 = 0
    using -lt and -gt comparison commands
    this uses if else 

Balance Sheets of December 31, 2016 and 2017 and Income Statement for the Year Ended December 31, 2017 are given below. Please complete columns Dollar Change, Source or Use Increase/Decrease, Major Source/Major Use, and Cash Flow Activity to prove Increase or decrease in Cash. Compute Short-term Solvency/Liquidity for both years to answer whether Corbett Enterprises’ liquidity has improved or declined. Also, compute Long-term Solvency, Asset Utilization, and Profitability ratios for 2017 since only the 2017 income Statement is given.

Write a Python program for the following:

A given author will use roughly use the same proportion of, say, four-letter words in something she writes this year as she did in whatever she wrote last year. The same holds true for words of any length. BUT, the proportion of four-letter words that Author A consistently uses will very likely be different than the proportion of four-letter words that Author B uses. Theoretically, then, authorship controversies can sometimes be resolved by computing the proportion of 1-letter, 2-letter, 3-letter, ..., 13-letter words in the writing and then comparing it with the same statistics from known authors.

Your task is to write a Python program that computes the above statistics from any text file. Note that apostrophes do not count in the word length. For example, "he's" is a three-letter word. Words like hard-hearted should be replaced with two words with a space between them (hard hearted).

Name of input file: romeo_and_juliet.txt

Proportion of 1- letter words: 4.8% (1231 words)

Proportion of 2- letter words: 16.1% (4177 words)

Proportion of 3- letter words: 20.3% (5261 words)

Proportion of 4- letter words: 24.3% (6295 words)

Proportion of 5- letter words: 15.0% (3889 words)

Proportion of 6- letter words: 7.9% (2048 words)

Proportion of 7- letter words: 5.2% (1352 words)

Proportion of 8- letter words: 3.7% (953 words)

Proportion of 9- letter words: 1.5% (378 words)

Proportion of 10- letter words: 0.7% (190 words)

Proportion of 11- letter words: 0.3% (71 words)

Proportion of 12- letter words: 0.1% (20 words)

Proportion of 13- (or more) letter words: 0.0% (12 words)

Here the program is tested on the full text of Romeo and Juliet but it should work for any file. The sample run above shows the actual proportion and count of different sized words in the file. Hint: make sure to replace each character in ",.!?;:][-\"" in the text with a space before doing any splitting.