Baci is a well-known lollipops maker in Western Australia and produces lollipops in two size, i.e., regular and large. The company sells their products to convenience stores, fairs, schools for fundraisers and in bulk on the internet. 2018 summer is approaching and Baci is preparing its budget for the December. All Baci’s lollipops are hand-made, mostly out of sugar, and attached to wooden sticks. Expected sales are based on past experience.

Other information for December 2018 is as follows:

Input prices :

Direct materials:

Sugar $0.50 per kg

Sticks $0.30 each

Direct manufacturing labour $8 per direct manufacturing labour hour (DMLH)

Input quantities per unit of output

Regular Large

Direct materials:

Sugar 0.25 kg 0.5 kg

Sticks 1 1

Direct manufacturing labour hour (DMLH) 0.2 hour 0.25 hour

Set-up hours per batch 0.08 hour 0.09 hour

Inventory data for direct materials1

Sugar Sticks

Beginning inventory 125 kg 350

Target ending inventory 240 kg 480

Cost of beginning inventory $64 $105

1: Baci accounts for direct materials using a FIFO cost flow assumption.

Sales and inventory data for finished goods2

Regular Large

Expected sales in units 3,000 1,800

Selling price $3 $4

Target ending inventory in units 300 180

Beginning inventory in units 200 150

Beginning inventory in dollars $500 $474

require 2: Baci uses a FIFO cost flow assumption for finished goods inventory.

All the lollipops are made in batches of 10. Baci incurs manufacturing overhead cost, and marketing and general administration costs, but customers pay for shipping. Other 3 than manufacturing labour costs, monthly processing costs are very small. Baci uses activity-based costing (ABC) and has classified all overhead costs for December 2018 as follows:

Cost type Denominator activity Rate

Manufacturing:

Set-up Set-up hours $20 per set-up hour

Processing Direct manufacturing labour hour (DMLH) $1.70 per DMLH

Non-manufacturing:

Marketing & general admin Sales revenue 10%

2. Baci’s balance sheet for 30 November 2018 follows. Use it and the following information to prepare a cash budget for Baci for December 2018:

• 80% of sales are on account, of which 50% are collected in the month of the sale, 49% are collected the following month and 1% are never collected and written off as bad debts.

• All purchases of materials are on account. Baci pays for 70% of purchases in the month of purchase and 30% in the following month.

• All other costs are paid in the month incurred.

• Baci is making monthly interest payments of 1% (12% per year) on a $20,000 long-term loan.

• Baci plans to pay the $500 of taxes owed as of 30 November 2018 in December 2018. Income tax expense for December is zero.

•40% of processing and set-up costs, and 30% of marketing and general administration costs, are depreciation.

Baci Balance Sheet as of 30 November 2018

Assets

Cash $587

Account receivable $4,800

Less: Allowance for bad debts 96 4,704

Inventories:

Direct materials 169

Finished goods 974

Fixed assets $190,000

Less: Accumulated depreciation 55,759 134,241

Total assets $140,675

Liabilities and equity

Account payable $696

Taxes payable 500

Interest payable 200

Long-term debt 20,000

Ordinary shares 10,000

Retained earnings 109,279

Total liabilities and equity $140,675

Required

Calculate the following ratios for 2019 and 2018. Since 2017 numbers are not presented do not use averages when calculating the ratios for 2018. Instead, use the number presented on the 2018 balance sheet.

Working capital.

Current ratio. (Round your answers to 2 decimal places.)

Quick ratio. (Round your answers to 2 decimal places.)

Receivables turnover (beginning receivables at January 1, 2018, were $47,000). (Round your answers to 2 decimal places.)

Average days to collect accounts receivable. (Round your intermediate calculations to 2 decimal places and your final answers to the nearest whole number.)

Inventory turnover (beginning inventory at January 1, 2018, was $140,000). (Round your answers to 2 decimal places.)

Number of days to sell inventory. (Round your intermediate calculations to 2 decimal places and your final answers to the nearest whole number.)

Debt to assets ratio. (Round your answers to the nearest whole percent.)

Debt to equity ratio. (Round your answers to 2 decimal places.)

Number of times interest was earned. (Round your answers to 2 decimal places.)

Plant assets to long-term debt. (Round your answers to 2 decimal places.)

Net margin. (Round your answers to 2 decimal places.)

Turnover of assets. (Round your answers to 2 decimal places.)

Return on investment. (Round your answers to 2 decimal places.)

Return on equity. (Round your answers to 2 decimal places.)

Earnings per share. (Round your answers to 2 decimal places.)

Book value per share of common stock. (Round your answers to 2 decimal places.)

Price-earnings ratio (market price per share: 2018, $11.75; 2019, $12.50). (Round your intermediate calculations and final answer to 2 decimal places.)

Dividend yield on common stock. (Round your answers to 2 decimal places.)

in the second half of the 20th century, the city of phoenix, Arizona exploded in size. between 1990 and 2000 the population of phoenix increased exponentially. in 1990 the population was 928,000 people, and in 2000. the population was 1,377,000.

a) what is the 1 decade (10 year) growth factor for the population of phoenix since 1990?

b) write a function f(d), that determines the population of phoenix in terms of the number of decades, d, that have elapsed since the beginning of 1990.

c) what Is the 5-year growth factor for the population of phoenix since 1990?

d) write a function g(x), that determines the population of phoenix in terms of the number of 5-year periods, x, that have elapsed since the beginning of 1990

A metallurgist has invented a new tungsten alloy for use in the filaments of light bulbs that is supposed to burn brighter with the use of less energy. A company investigates the potential costs of producing the new type of bulb and decides that production would be economically feasible if the bulbs would last an average of longer than 2000 hours in continuous usage. Twenty-five of the new bulbs are tested and found to last an average of 2240 hours with a standard deviation of 600 hours. Is this strong evidence that the average life of all such bulbs is higher than 2000 hours? Translate this into a statistical hypothesis-testing problem and carry out the test. Be sure to give the null and alternative hypotheses, the value of the test statistic, the p-value, and your conclusions.

Find the average, median and mode income of the residents Find interquartile range Find the mean deviation from the mean and median

The following data on income of residents generated from County X

(17.1) The psychology of terrorism According to the Global Terrorism Index, terror-related death have increased nearly 10 times since 2000. http://www.economicsandpeace.org/wp-content/uploads/2015/11/2015-Global-Terrorism-Index-Report.pdf While there was 3.329 recorded acts of terror in 2000 we have seen 32,685 in 2014. It makes you stop and ask questions - like: 1. How can extremist groups treat fellow human beings with such cruelty? 2. Why do their barbaric brands of violence appeal to young people around the globe? 3. Who are their recruits, and what are they thinking when they target innocent lives (sub question is are those recruits mentally ill)?

Average Annual Growth Rates

a) Relate K to z. Discuss how they should be related theoretically and how they appear to be related empirically (numbers in the table).

b) Relate K to Y. Discuss how they should be related theoretically and how they appear to be related empirically (numbers in the table).

The accompanying data table show the percentage of tax returns filed electronically in a city from 2000 to 2009. Complete parts a through e below.

Year   Percentage
2000   25
2001   33
2002   37
2003   38
2004   48
2005   50
2006   55
2007   59
2008   62
2009   64

a) Forecast the percentage of tax returns that will be electronically filed for 2010 using exponential smoothing with alpha= 0.1.

​b) Calculate the MAD for the forecast in part a.

c) Forecast the percentage of tax returns that will be electronically filed for 2010 using exponential smoothing with trend adjustment. Set alpha= 0.3 and beta= 0.4.

​d) Calculate the MAD for the forecast in part c.

Aggregate Expenditure

Consider the following AE model:

C=.80Y_d+ 200   Y_d = Y – T    I=125 G=200 T=150 M=100 X=50

1. Find the following:

2. Using the ∆RGDP equation, compute the new Y* if autonomous consumption is decreased by 50.

3. Assume that Y_FE = 2000. Compute the ∆G necessary to make Y* = Y_FE.

4. Assume that Y_FE = 2000. Compute the ∆T necessary to make Y* = Y_FE.