1. The following question refers to regulated enzymes in
glycolysis.
Here is a summary of these enzymes.
glycolysis reaction #1 is catalyzed by hexokinase
glycolysis reaction #3 is catalyzed by phosphofructokinase
(PFK)
glycolysis reaction #10 is catalyzed by pyruvate kinase
Which of the following statements about glycolysis regulation in
liver cells is/are TRUE?
| At high substrate concentrations, the Km of muscle hexokinase is similar to liver hexokinase. | ||
| Liver PFK has low enzyme activity when glucagon is present. | ||
| All of the statements are true. | ||
| Liver pyruvate kinase activity is low when the concentrations of ATP and acetyl-CoA are low. |
2. Select a word for each blank that makes a sentence which
correctly compares energy yield per carbon from a fatty acid and
glucose.
Oxidation of a fatty acid yields select an
answer more less ATP
per carbon than a glucose because there
are select an
answer more less C-H
bonds in a fatty acid, making the select an
answer carbons oxygens hydrogens in
a fatty acid more select an
answer oxidized reduced .
3. Which of the following statements about triacylglycerols
is/are true?
| Triacylglycerols are stored in adipose tissue. | ||
| The three fatty tails in a triacylglycerol are most often different. | ||
| All of the statements are true. | ||
| A triacylglycerol is not a polymer. |
4. Select whether each statement that compares muscle and liver
cells is true or false.
select an
answer true false Both
muscle cells and liver cells can synthesize ketone bodies, but only
muscle cells use them.
select an
answer true false Glucose
stored as glycogen in muscle and liver cells can be shared with
other body cells.
select an
answer true false Ketone
bodies can be used as an energy source in muscle cells, but not
liver cells.
5. In hormonal signaling pathways, second messenger molecules
amplify signals so that
| receptor proteins can increase production of more second messengers. | ||
| many metabolic enzymes can respond at the same. | ||
| kinases can rapidly dephosphorylate target proteins. | ||
| cells without hormone receptor proteins can be activated. |
In: Biology
In: Accounting
Internal Control Case Study
Harper Theater is located in Midtown Mall. The cashier’s booth is near the entrance to the theater. Two cashiers are employed. Once works from 1-5 pm, the other from 5-9 pm. Each cashier is bonded. The cashiers receive cash from customers and operate a machine that ejects serially numbered tickets. The rolls of tickets are inserted and locked into the machine by the theater manager at the beginning of each cashier’s shift.
After purchasing a ticket, the customer takes the ticket to an usher stationed at the entrance to the theater lobby some 60 feet from the cashier’s booth. The usher tears the ticket in half, admits the customer, and returns the ticket stub to the customer. The other half of the ticket is dropped into a locked box by the usher.
At the end of each cashier’s shift, the theater manager removes the ticket roll from the machine and makes a cash count. The cash count sheet is initialed by the cashier. At the end of the day, the manager deposits the receipts in total in a bank night deposit vault located in the mall. The manager also sends copies of the deposit slip and the initialed cash count sheets to the theater company treasurer for verification and to the company’s accounting department. Receipts from the first shift are stored in a safe located in the manager’s office.
Required: using Microsoft Word, answer the following questions and attach the document to this assignment:
DO NOT COPY PREVIOUS ANSWERS THEY ARE INCORRECT
In: Accounting
As you might expect, there has been a spirited discussion about which method is most effective in terms of the effectiveness of delivering course content, student and faculty acceptance of different modes of instruction and the cost to the state of using different delivery methods. As a result of this discussion, five questions have arisen that require the use of statistics to answer them. They are:
1. Does student learning as indicated by average grades suffer if they are taught using alternative modes of instruction: traditional in-class teaching, on-line learning, or mixed on-line/in-class method?
2. Do students have a preference for which type of learning to which they are exposed?
3. Is the acceptance of students of on-line methods independent of their majors?
4. Is the proportion of faculty members favoring on-line or mixed delivery the same for all colleges within the university?
5. Does the average amount of additional instructor time required to deliver courses on-line differ according to the type of courses?
- In order to determine which type of instruction students prefer, the university surveyed 620 students studying at Tennessee universities who have been exposed to different types of instruction. The results are shown in the Table below:
| Student Preference | In-Class | On-Line | Mixed | Total |
| Prefer | 100 | 105 | 115 | 320 |
| Do Not prefer | 100 | 115 | 85 | 300 |
| TOTAL | 200 | 220 | 200 | 620 |
Please provide a statistical analysis. You are required to submit the following information:
1.) The null and alternative hypotheses being tested.
2.) The Critical test statistic (F or Chi-Square) from the appropriate table. If it required using the Tukey- Kramer method, show the Q score from the table AND the critical value that you used to make your decisions. Also, specify which mean or means are not equal.
3.) The calculated value that you arrived at and the p-Value.
4.) Your decision, reject or do not reject.
5.) A separate part of the answer must be a memo sheet written in word that answers each of the 5 questions and explains why you answered as you did using the results of your statistical testing.
In: Statistics and Probability
Samson plc is registered for VAT.
The following information relates to the company’s VAT return for the quarter ended 31 March 2020:
Unless stated otherwise, all of the figures above are exclusive of VAT.
YOU ARE REQUIRED TO:
State the consequences if Samson plc does not submit the return for the quarter ended 31 March 2020 until 25 May 2020.
(maximum word count 80 words)
TOTAL 20 MARKS
UK TAX
In: Accounting
In: Accounting
This question was answered a while ago, but I feel something is still missing for some reason, so I will be adding it again for another opinion.
Thank you!
You are given the data which consists of SAT math scores and University GPA at time of graduation with a four-year degree for fifteen students. Perform a regression analysis on your collected data and submit a written report. The SAT_Math column (variable) is the independent (explanatory) variable. The SAT_Univ column (variable) is the dependent (response) variable,
|
SAT_Math |
GPA_Univ |
|
643 |
3.52 |
|
558 |
2.91 |
|
583 |
2.4 |
|
685 |
3.47 |
|
592 |
3.47 |
|
562 |
2.37 |
|
573 |
2.4 |
|
559 |
2.24 |
|
552 |
3.02 |
|
617 |
3.32 |
|
684 |
3.59 |
|
568 |
2.54 |
|
604 |
3.19 |
|
619 |
3.71 |
|
642 |
3.58 |
Your report should include the computer printout of your statistical analysis as well as a word-processed summary of your findings and conclusions. Your report should be one single file into which the software input and output are pasted. The data that you collect should be included in your report. Make sure that the following questions/items are included in your report:
Your project should have a front page (title and other informative items) and an abstract. Use a font size of 12, double spacing, and NEW YORK TIMES font.
In: Statistics and Probability
Assignment #7: One-sample Chi-Square
Directions: Use the Chi-Square option in the Nonparametric Tests menu to answer the questions based on the following scenario. (Assume a level of significance of .05 and use information from the scenario to determine the expected frequencies for each category)
During the analysis of the district data, it was determined that one high school had substantially higher Graduate Exit Test scores than the state average and the averages of high schools in the surrounding districts. To better understand possible reasons for this difference, the superintendent conducted several analyses. One analysis examined the population of students who completed the exam. Specifically, the superintendent wanted to know if the distribution of special education, regular education, and gifted/talented test takers from the local high school differed from the statewide distribution. The obtained data are provided below.
|
Special Education* |
Regular Education |
Gifted/Talented |
|
|
Number of students from the local high school who took the Graduate Exit |
17 |
90 |
19 |
|
Percent of test taking students statewide who took the Graduate Exit |
7% |
73% |
20% |
*For purposes of testing, special education includes any student who received accommodations during the test.
If the student distribution for the local high school did not differ from the state, what would be the expected percentage of students in each category?
What were the actual percentages of local high school students in each category? (Report final answer to two decimal places)
State an appropriate null hypothesis for this analysis.
What is the value of the chi-square statistic?
What are the reported degrees of freedom?
What is the reported level of significance?
Based on the results of the one-sample chi-square test, was the population of test taking students at the local high school statistically significantly different from the statewide population?
Present the results as they might appear in an article. This must include a table and narrative statement that reports and interprets the results of the analysis.
Note: The table must be created using your word processing program. Tables that are copied and pasted from SPSS are not acceptable.
In: Statistics and Probability
CPSC 1103 Assignment 1 Problem A cell phone provider has three different subscription packages for its customers: Package A: For $9.95 per month 10 hours of access are provided. Additional hours are $2.00 per hour. Package B: For $14.95 per month 20 hours of access are provided. Additional hours are $1.00 per hour. Package C: For $19.95 per unlimited access is provided. Write a program to ask which package the customer has purchased, what month they are using, and how many hours were used. Determine max hours. Months with 30 days have 720 hours, and months with 31 days have 744 hours. February, with 28 days, has 672 hours. Month Days Hours January 31 744 February 28 672 March 31 744 April 30 720 May 31 744 June 30 720 July 31 744 August 31 744 September 30 720 October 31 744 November 30 720 December 31 744 Input validation: Be sure the user only selects package A, B, or C. Also, the number of hours used in a month cannot exceed maxHours (or be less than 0). Display the charge for the Package chosen. Display how much money Package A customers would save if they purchased packages B or C; how much money Package B customers would save if they purchased packages A or C; and how many packages C customers would save if they purchased packages A or B. If there would be no savings, no message should be printed. What to hand in: Please see the title page for requirements for assignments. You need the following in a single Word document: • Source code listing fully documented (comments for purpose, file, programmer, all variable declarations, and major tasks). • Test runs to show valid and invalid data as well as savings. • User Guide with Purpose stated for a User, a simple run to illustrate the capability of the program and a section for assumptions and limitations • A hierarchy chart for example to calculate the area of a rectangle
In: Computer Science
Seth Feye established Reliance Financial Services on July 1, 2016. Reliance Financial Services offers financial planning advice to its clients. The effect of each transaction and the balances after each transaction for July follow:
| Assets | =Liabilities | + Owners Equity | ||||||||||
| Accounts | Accounts | Seth Feye, | Seth Feye, | Fees | Salaries | Rent | Auto | Supplies | Misc. | |||
| Cash | Receivable | + Supplies | = Payable | + Capital | - Drawing | + Earned | - Expense | - Expense | - Expense | - Expense | - Expense | |
| a. | +55,000 | +55,000 | ||||||||||
| b. | +7,400 | +7,400 | ||||||||||
| Bal. | 55,000 | 7,400 | 7,400 | 55,000 | ||||||||
| c. | -3,400 | -3,400 | ||||||||||
| Bal. | 51,600 | 7,400 | 4,000 | 55,000 | ||||||||
| d. | +103,000 | +103,000 | ||||||||||
| Bal. | 154,600 | 7,400 | 4,000 | 55,000 | 103,000 | |||||||
| e. | -33,400 | -33,400 | ||||||||||
| Bal. | 121,200 | 7,400 | 4,000 | 55,000 | 103,000 | -33,400 | ||||||
| f. | -20,900 | -15,000 | -5,900 | |||||||||
| Bal. | 100,300 | 7,400 | 4,000 | 55,000 | 103,000 | -33,400 | -15,000 | -5,900 | ||||
| g. | -57,000 | -57,000 | ||||||||||
| Bal. | 43,300 | 7,400 | 4,000 | 55,000 | 103,000 | -57,000 | -33,400 | -15,000 | -5,900 | |||
| h. | -3,500 | -3,500 | ||||||||||
| Bal. | 43,300 | 3,900 | 4,000 | 55,000 | 103,000 | -57,000 | -33,400 | -15,000 | -3,500 | -5,900 | ||
| i. | +31,500 | +31,500 | ||||||||||
| Bal. | 43,300 | 31,500 | 3,900 | 4,000 | 55,000 | 134,500 | -57,000 | -33,400 | -15,000 | -3,500 | -5,900 | |
| j. | -13,500 | -13,500 | ||||||||||
| Bal. | 29,800 | 31,500 | 3,900 | 4,000 | 55,000 | -13,500 | 134,500 | -57,000 | -33,400 | -15,000 | -3,500 | -5,900 |
| Required: | |||
| 1. | Prepare an income statement for the Month Ended July 31, 2016.* | ||
| 2. | Prepare a statement of owner’s equity for the Month Ended July 31, 2016.* | ||
| 3. | Prepare a balance sheet as of July 31, 2016.* | ||
| 4. | Prepare a statement of cash
flows for the month ending July 31, 2016.*
|
In: Accounting