Whispering Inc. reported the following pretax income (loss) and related tax rates during the years 2019–2022. Pretax Income (loss) Tax Rate 2019 $104,000 40 % 2020 (234,000) 40 % 2021 260,000 20 % 2022 130,000 20 % Pretax financial income (loss) and taxable income (loss) were the same for all years since Whispering began business. The tax rates from 2019–2022 were enacted in 2019. New attempt is in progress. Some of the new entries may impact the last attempt grading.Your answer is incorrect. Prepare the journal entries for the years 2020–2022 to record income taxes payable (refundable), income tax expense (benefit), and the tax effects of the loss carryforward. Assume that Whispering expects to realize the benefits of any loss carryforward in the year that immediately follows the loss year. (Credit account titles are automatically indented when amount is entered. Do not indent manually. If no entry is required, select "No Entry" for the account titles and enter 0 for the amounts.) Date Account Titles and Explanation Debit Credit 2020 2021 2022 eTextbook and Media List of Accounts New attempt is in progress. Some of the new entries may impact the last attempt grading.Your answer is incorrect. Prepare the portion of the income statement, starting with “Operating loss before income taxes,” for 2020. (Enter negative amounts using either a negative sign preceding the number e.g. -45 or parentheses e.g. (45).) Whispering Inc. Income Statement (Partial) $ $

Beacon Tours, a Tasmanian tourism business has recently expanded into catering as Vega one of their employees had been sponsored by the business to take a cooking qualification. This was a good addition to the business as feeding and entertaining paying guests has become expected. In October 2019 Beacon Tours, trading under their newly registered business name of Beacon Catering, agreed to cater for a wedding on the 12 January 2020. A term of the contract provided for the food to be delivered to the wedding venue ‘before 7 o’clock’ on the 12 January 2020. Believing that it is an evening wedding Beacon Catering had the food ready and attempted to deliver it to the venue by 6pm on the 12 January 2020. The customer, Canopus, who had contracted them refused to accept the food saying that the food was supposed to be delivered by 7am on the 12 January 2020 and that the wedding took place at midday and that therefore it had already taken place and food had been purchased last minute when Beacon Catering did not show up by 7am. The customer therefore refused to accept delivery due to the lateness of the hour.

Required: Can Beacon Catering sue Canopus for damages for non-acceptance? Is Beacon Catering liable to be sued by Canopus for breach of contract for failure to deliver?

Questions to Consider:

•Is the attempted delivery an issue of tender?

•What has to be established for a good tender?

•What did the contract say about delivery?

•Does the plaintiff’s action in attempting to make the delivery at 7pm satisfy this criterion?

•Note the operation of the Sale of Goods legislation in relation to delivery

A study was conducted to investigate whether a new diet lowers cholesterol. The researchers took a random sample of 100 subjects with high cholesterol and measured the cholesterol levels for each. Then each subject began the new diet as instructed. After six months, the subjects' cholesterol levels were measured again. The differences in cholesterol level, calculated as After - Before, follow an approximately normal distribution. Suppose a 99% confidence interval for the mean cholesterol difference is (-13.89, -7.66). Which of the following is a correct interpretation of this interval?

Project 3 instructions

Based on Brase & Brase: sections 6.1-6.3

Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1 year ending on the Monday that this course started. For example, if the current term started on April 1, 2018, then use April 1, 2017 – March 31, 2018. (Do NOT use these dates. Use the dates that match up with the current term.) Do this by clicking on the blue dates after “Time Period”. Next, click the “Apply” button. Next, click the link on the right side of the page that says “Download Data” to save the file to your computer. NOTE THIS CLASS BEGAN ON 1/20/2020 please use this date to help me answer these questions... I am having a hard time

This project will only use the Close values. Assume that the closing prices of the stock form a normally distributed data set. This means that you need to use Excel to find the mean and standard deviation. Then, use those numbers and the methods you learned in sections 6.1-6.3 of the course textbook for normal distributions to answer the questions. Do NOT count the number of data points.

Complete this portion of the assignment within a single Excel file. Show your work or explain how you obtained each of your answers. Answers with no work and no explanation will receive no credit.

1. a) Submit a copy of your dataset along with a file that contains your answers to all of the following questions.

b) What the mean and Standard Deviation (SD) of the Close column in your data set?

c) If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than the mean for that year? Hint: You do not want to calculate the mean to answer this one. The probability would be the same for any normal distribution. (5 points)

2. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at more than $1150? (5 points)
3. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed within $50 of the mean for that year? (between 50 below and 50 above the mean) (5 points)
4. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than $950 per share. Would this be considered unusal? Use the definition of unusual from the course textbook that is measured as a number of standard deviations (5 points)
5. At what prices would Google have to close in order for it to be considered statistically unusual? You will have a low and high value. Use the definition of unusual from the course textbook that is measured as a number of standard deviations. (5 points)
6. What are Quartile 1, Quartile 2, and Quartile 3 in this data set? Use Excel to find these values. This is the only question that you must answer without using anything about the normal distribution. (5 points)
7. Is the normality assumption that was made at the beginning valid? Why or why not? Hint: Does this distribution have the properties of a normal distribution as described in the course textbook? Real data sets are never perfect, however, it should be close. One option would be to construct a histogram like you did in Project 1 to see if it has the right shape. Something in the range of 10 to 12 classes is a good number. (5 points)

There are also 5 points for miscellaneous items like correct date range, correct mean, correct SD, etc.

Project 3 is due by 11:59 p.m. (ET) on Monday of Module/Week 5.

Project 3 instructions

Based on Brase & Brase: sections 6.1-6.3

Visit the NASDAQ historical prices weblink. First, set the date range to be for exactly 1 year ending on the Monday that this course started. For example, if the current term started on April 1, 2018, then use April 1, 2017 – March 31, 2018. (Do NOT use these dates. Use the dates that match up with the current term.) Do this by clicking on the blue dates after “Time Period”. Next, click the “Apply” button. Next, click the link on the right side of the page that says “Download Data” to save the file to your computer. NOTE THIS CLASS BEGAN ON 1/20/2020 please use this date to help me answer these questions... PLEASE ONLY HELP ME WITH QUESTIONS 5-7!! I have the first four completed with help!

This project will only use the Close values. Assume that the closing prices of the stock form a normally distributed data set. This means that you need to use Excel to find the mean and standard deviation. Then, use those numbers and the methods you learned in sections 6.1-6.3 of the course textbook for normal distributions to answer the questions. Do NOT count the number of data points.

Complete this portion of the assignment within a single Excel file. Show your work or explain how you obtained each of your answers. Answers with no work and no explanation will receive no credit.

1. a) Submit a copy of your dataset along with a file that contains your answers to all of the following questions.

b) What the mean and Standard Deviation (SD) of the Close column in your data set?

c) If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than the mean for that year? Hint: You do not want to calculate the mean to answer this one. The probability would be the same for any normal distribution. (5 points)

2. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at more than $1150? (5 points)
3. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed within $50 of the mean for that year? (between 50 below and 50 above the mean) (5 points)
4. If a person bought 1 share of Google stock within the last year, what is the probability that the stock on that day closed at less than $950 per share. Would this be considered unusal? Use the definition of unusual from the course textbook that is measured as a number of standard deviations (5 points)
5. At what prices would Google have to close in order for it to be considered statistically unusual? You will have a low and high value. Use the definition of unusual from the course textbook that is measured as a number of standard deviations. (5 points)
6. What are Quartile 1, Quartile 2, and Quartile 3 in this data set? Use Excel to find these values. This is the only question that you must answer without using anything about the normal distribution. (5 points)
7. Is the normality assumption that was made at the beginning valid? Why or why not? Hint: Does this distribution have the properties of a normal distribution as described in the course textbook? Real data sets are never perfect, however, it should be close. One option would be to construct a histogram like you did in Project 1 to see if it has the right shape. Something in the range of 10 to 12 classes is a good number. (5 points)

There are also 5 points for miscellaneous items like correct date range, correct mean, correct SD, etc.

Project 3 is due by 11:59 p.m. (ET) on Monday of Module/Week 5.

On January 2, 2019, TI enters into a contract with Drewry Corp. to build a new piece of equipment. The contract price is $3,200,000, and construction is expected to take 18 months. Drewry is billed and pays $1,600,000 of the contract price on January 2, 2019, and will pay the balance at completion.

TI estimates that the cost of construction will be $2,300,000.

Drewry includes two performance bonuses in the contact:

The bonuses are payable when a U.S. patent is approved and when international distribution is approved.

On the date the contract is signed, TI estimates that there is an 80% chance it will receive U.S. patent protection by March 15, 2020, but only a 30% chance that the equipment will be approved for international distribution.

TI received a U.S. patent on the equipment design on November 15, 2019, and immediately billed Drewry and received its bonus payment. On December 31, 2019, TI has incurred $1,840,000 of contract costs and is 80% complete. TI won approval for international distribution on January 15, 2020, and completed the equipment project on April 15, 2020, at a cost of $2,300,000.

Required:

General Journal Instructions

All transactions on this page must be entered (except for post ref(s)) before you will receive Check My Work feedback.

PAGE 2019PAGE 2020

GENERAL JOURNAL

Score: 7/363

Points:

1.33 / 69

Feedback

Suppose researchers find a cheaper way to feed cows. In the long-run, who stand to benefit from this innovation? (assume dairy market is perfectly competitive)

farmers

buyers of milk

both farmers and buyers of milk equally

impossible to answer with the information given

reduce output

expand output

Which of the following statements regarding monopoly and perfectly competitive markets are correct?

What is convection cooling? How can you construct a building so that convection cooling occurs?

What are thermal bridges? Give an example of some ways to eliminate them when you are building?

What is the intention of the Innovation and Design Credits? What are the responsibilities of the LEED Accredited Professional on a project?

One of the basic elements of Roger's diffusion theory is the concept of adoption process which deals with the mental stages through which an individual passes from the time of his or her first knowledge of an innovation to the time of product adoption or purchase. Briefly describe these stages giving examples of Apples' iPhone.