Administrators of a computer system are gathering data to try to explain the number of interruptions in their network. For a sample of 22 days, they measured the number of interruptions per day and the daily usage (measured by the average number of users of the system per hour of that day). Fit an appropriate regression model to predict the number of interruptions based on the usage. Assess the fit of the model. Formally assess whether usage is a significant predictor of mean interruptions, providing numerical justification (test statistic and P-value) for your conclusion. Carefully interpret what the estimated model tells you about how the expected number of interruptions changes as the daily usage changes. Predict the

expected number of interruptions for a day that has 150 users per hour on average, using a point estimate and a 95% interval.

SAS code:

DATA four;
INPUT interruptions usage;
cards;
0 104.2
2 124.6
5 176.3
6 169.3
1 104.6
2 115.8
3 127.8
6 179.4
8 210.5
4 126.7
0 100.5
1 119.5
1 123.8
0 106.4
4 156.7
3 148.2
5 156.2
6 167.3
8 198.2
2 124.6
3 145.9
4 156.2
;
run;

Mike and his advertisement team have created an advertisement plan for a new flavor of soda. Right now, approximately 16% of soda drinkers are purchasing this flavor. Mike needs to show his bosses that his advertisement plan will increase the percentage of soda drinkers purchasing this flavor. If Mike's Advertising team succeeds in increasing the percentage of customers that prefer this flavor,then the company will increase supply and make more of the soda to meet demand. If not,then the company will keep the supply as it currently is. After the advertising changes,Mike Takes Random Sample Of Customers To Determine If The percentage of soda drinkers that like the new flavor has increased. (They are currently using a 5% significance level). ??0: p=0.16 (The company will not increase production of the flavor of soda.) ????: p>0.16(The company needs to increase production of the new flavor of soda to meet the increased demand.) a) Write a description of a type 1 error and possible consequences of that error in the context of the problem. b) Write a description of a type 2 error and possible consequences of that error in the context of the problem. c) Would you recommend any changes to the significance level sample size based on what you know about the type 1 and type 2 errors in this problem? Explain

Bonita Company commonly issues long-term notes payable to its various lenders. Bonita has had a pretty good credit rating such that its effective borrowing rate is quite low (less than 8% on an annual basis). Bonita has elected to use the fair value option for the long-term notes issued to Barclay’s Bank and has the following data related to the carrying and fair value for these notes. Any changes in fair value are due to changes in market rates, not credit risk. Carrying Value Fair Value December 31, 2020 $55,500 $55,500 December 31, 2021 47,000 45,600 December 31, 2022 34,600 36,400

(a) Prepare the journal entry at December 31 (Bonita’s year-end) for 2020, 2021, and 2022, to record the fair value option for these notes. (If no entry is required, select "No Entry" for the account titles and enter 0 for the amounts.Credit account titles are automatically indented when amount is entered. Do not indent manually.)

(b) At what amount will the note be reported on Bonita’s 2021 balance sheet?

(c) What is the effect of recording the fair value option on these notes on Bonita’s 2022 income? GAIN OR LOSS OF $ ______

Administrators of a computer system are gathering data to try to explain the number of
interruptions in their network. For a sample of 22 days, they measured the number of
interruptions per day and the daily usage (measured by the average number of users of the
system per hour of that day). Fit an appropriate regression model to predict the number of
interruptions based on the usage. Assess the fit of the model. Formally assess whether usage
is a significant predictor of mean interruptions, providing numerical justification (test statistic and
P-value) for your conclusion. Carefully interpret what the estimated model tells you about how
the expected number of interruptions changes as the daily usage changes. Predict the
expected number of interruptions for a day that has 150 users per hour on average, using a
point estimate and a 95% interval.

DATA four;
INPUT interruptions usage;
cards;
0 104.2
2 124.6
5 176.3
6 169.3
1 104.6
2 115.8
3 127.8
6 179.4
8 210.5
4 126.7
0 100.5
1 119.5
1 123.8
0 106.4
4 156.7
3 148.2
5 156.2
6 167.3
8 198.2
2 124.6
3 145.9
4 156.2
;
run;

Find the future value of the following annuities. The first payment in these annuities is made at the end of Year 1, so they are ordinary annuities. (Notes: If you are using a financial calculator, you can enter the known values and then press the appropriate key to find the unknown variable. Then, without clearing the TVM register, you can "override" the variable that changes by simply entering a new value for it and then pressing the key for the unknown variable to obtain the second answer. This procedure can be used in many situations, to see how changes in input variables affect the output variable. Also, note that you can leave values in the TVM register, switch to Begin Mode, press FV, and find the FV of the annuity due.)

$800 per year for 10 years at 10%.

$400 per year for 5 years at 5%.

$800 per year for 5 years at 0%.

Now rework parts a, b, and c assuming that payments are made at the beginning of each year; that is, they are annuities due.

Future value of $800 per year for 10 years at 10%:

Future value of $400 per year for 5 years at 5%:

Future value of $800 per year for 5 years at 0%:

Find the present value of the following ordinary annuities. (Notes: If you are using a financial calculator, you can enter the known values and then press the appropriate key to find the unknown variable. Then, without clearing the TVM register, you can "override" the variable that changes by simply entering a new value for it and then pressing the key for the unknown variable to obtain the second answer. This procedure can be used in many situations, to see how changes in input variables affect the output variable. Also, note that you can leave values in the TVM register, switch to Begin Mode, press PV, and find the PV of the annuity due.) Do not round intermediate calculations. Round your answers to the nearest cent.

1. $800 per year for 10 years at 6%.

   $ ---------

2. $400 per year for 5 years at 3%.

   $ -----------

3. $800 per year for 5 years at 0%.

   $ ----------

4. Now rework parts a, b, and c assuming that payments are made at the beginning of each year; that is, they are annuities due.

   Present value of $800 per year for 10 years at 6%: $ --------

   Present value of $400 per year for 5 years at 3%: $ ------------

   Present value of $800 per year for 5 years at 0%: $ ---------

ECONOMICS

Kindly answer the following:

Explain what decisions and calculations a very foresighted consumer must make to determine her consumption decisions in any period.

Explain why current consumption is likely to respond less than one for one to changes in current income.

Suppose individuals expect future output to be higher and future interest rates to be higher. Given this information, how will individuals alter consumption in the current period? Explain.

Suppose individuals expect future output to be lower and future interest rates to be lower. Given this information, how will individuals alter consumption in the current period? Explain.

Explain how expectations affect consumption.

Explain how a change in expected future output could affect current output.

Explain why consumption is less volatile than investment.

Are changes in consumption and investment typically occur in the same direction and at roughly the same magnitude? Explain.

Suppose firms expect future output to be higher and future interest rates to be higher. Given this information, how will firms alter investment in the current period? Explain.

Suppose firms expect future output to be lower and future interest rates to be lower. Given this information, how will firms alter investment in the current period? Explain.

Assignment:

Using what we have learnt about the price elasticity of demand, and what we remember about short run and long run price elasticities (Chapter 2 of Perloff (2017)), along with substitution and income effects (Chapter 4 of Perloff (2017)) as a guide, choose a particular product (good or service) which you or your family purchased during the recession of 2007 – 2009, or choose a particular good which you or your family purchased at least 2 years ago (before the start of the pandemic in 2020). You may or may not be purchasing the product this year or since March 2020. Give a general description of this product in terms of its relationship with income and its relationship with price. Then discuss your (or your family’s) spending behavior prior to the major event (recession or pandemic), and now. If you or your family no longer purchase this product, discuss why. Be sure to include in your discussion the price changes (increase or decrease, using specific values if available), how you or your family responded to these changes, and whether this product is more price elastic or price inelastic in the long run (compared to the short run).

Reference: Launch the Perloff, Microeconomics: Theory and Applications with Calculus 4 or 5

Dakota Drapers supplies custom-fitted curtains and blinds to retail customers. It has recently expanded to offer a wide variety of home decorating products through its six stores across the state. After some initial problems with inventory control, the client installed a new automated inventory system in April this year (the fiscal year end is December 31). The system replaced another automated system that had been modified so often over the years that the auditors had advised Dakota’s management that they did not regard it as reliable. That is, in the past, the auditors were unable to rely on the old system sufficiently to assess control risk for inventory as anything less than high.

-Explain the normal process an auditor would expect to find in the client’s system governing changes to software applications. Why is an auditor concerned about application changes?

-Dakota Drapers’ fiscal year-end is December 31. Does the auditor need to obtain evidence about the performance of the inventory control system from every month in the year or from a sample of months? Explain.

-If the auditor conducts tests of the inventory controls at an interim date, is it appropriate to conclude that the controls are effective up through the end of period date? Explain your reasoning.

The community health nurse is preparing a program about hypertension for a local community center. The focus of the program is on the reduction of risk factors and compliance for those who have been diagnosed with high blood pressure. The target population includes older adults.

a.The nurse focuses on primary hypertension because it accounts for 90% - 95% of hypertension in the United States. What risk factors does the nurse include for this population?

Smoking, elevated LDL’s and total cholesterol, diabetes mellitus, impaired renal function, obesity, physical inactivity, age over 55, and family history of cardiovascular disease are all risk factors for high blood pressure.

b.The nurse prepares to discuss the changes in how the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation and Treatment of High Blood Pressure defines hypertension. What ranges and descriptions should the nurse include?

c.Because this is a gerontologic audience, the nurse needs to review why blood pressure increases with age. Explain how the structural and functional changes of aging contribute to higher blood pressure in the older adult.

d. What information does the nurse include about lifestyle modifications that may decrease risk of hypertension or complications associated with diagnosed hypertension?