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1c 12 Fill in the correct prepositions. Then, choose any five phrases and make up sentences using them. out of the ordinary ............the countryside 1 2 www.scratch 3 4. to expect sth .......sb 5 ............ the winter 6 to appeal... sb 7 to live........ a tree top 8 to become short....... space 9 an extension ........... his home 10 to convince people. sth 11 the benefits............ th 12 suitable sb 13 to suffer hay fever 14 fear heights Appendix Word formation 14 Fill in the correct word derived from the word in bold. Rea to get an idea what the text is about. Read the text once quickly. For each gap decide what the missing word is (e.g. noun, verb, adverb, etc.). You may need to write the word in the plural or with a negative meaning. Think of possible prefixes and suffixes. Fill in the gaps. Check the spelling. Read the completed text to check if it makes sense. 1 x differ abou havi Liste prob spea lett one A B C D E F Phrasal verbs 13 a. Replace the words in bold with the appropriate phrasal verb formed with break or bring. 1 My computer has stopped working. (= broken down) 2 My favourite band have just released their new album. 3 Schools finish for the summer holidays tomorrow. 4 She was raised by her grandma. 5 The burglars entered by force and stole all our valuables. 6 A fire began suddenly on the second floor of the building. 7 Visiting my old neighbourhood always makes me recall memories of family holidays. 8 The two countries ended diplomatic relations with each other two years ago. Game Competition b. Choose one of the phrasal verbs in Ex. 13a and draw a picture about it. In teams, show your picture to the class. The team which guesses the phrasal verb first gets one point. Continue the game until all of you have shown your pictures. The team with the most points is the winner. YOUR Burglarproof HOME Can you imagine anything worse than returning home to find that burglars have broken into your house? 0) Unfortunately, this happens to about 1 million people in Britain 1) 2) However, if you want better against burglars there are several fortune annual protect 4) things you can do. To improve 3) the locks on your doors and windows. The of lighting all around the house check all secure install will make sure a burglar is 5) the shadows. An alarm system is to hide in another good able measure you can take. Starting a 7) also a very 8) watch group is prevent neighbour your area. Since most 9) way to prevent crime in take place effect burglar value 6) when people are away on holiday, this is when your neighbours' help is most 10) to collect your mail, Ask them open and close day, switch your lights on and off and even mow your your curtains every lawn to make your house look occupied. 2.

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EXAMPLE 9.1 Water Treatment Facility #3 Case The situation with the location and construction of the new WTF3 and associated transmission mains described in the chapter's introduction has reached a serious level because of recent questions posed by some city council members and citizen groups. Before going public to the city council with the analysis performed last year, the director of Allen Water Utilities has asked an engineering management consultant to review it and determine if it was an acceptable analysis and correct economic decision, then and now. The lead consultant, Joel Whiterson, took engineering economy as a part of his B.S. education and has previously worked on economic studies in the government sector, but never as the lead person. Within the first hour of checking background notes, Joel found several initial estimates (shown below) from last year for expected consequences if WTF3 were built. He realized that no viewpoint of the study was defined, and, in fact, the estimates were never classified as costs, benefits, or disbenefits. He did determine that disbenefits were considered at some point in the analysis, though the estimates for them are very sketchy. Joel defined two viewpoints: a citizen of Allen and the Allen Water Utilities budget. He wants to identify each of the estimates as a cost, benefit, or disbenefit from each viewpoint. Please help with this classification. Economic Dimension 1. Cost of water: 10% annual increase to Allen households 2. Bonds: Annual debt service at 3% per year on $540 million 3. Use of land: Payment to Parks and Recreation for shaft sites and construction areas 4. Property values: Loss in value, sales price, and property taxes 5. Water sales: Increases in sales to surrounding communities 6. M&O: Annual maintenance and operations costs 7. Peak load purchases: Savings in purchases of treated water from secondary sources Monetary Estimate Average of $29.7 million (years 1-5, steady thereafter) $16.2 million (years 1-19); $516.2 million (year 20) $300,000 (years 1-4) $4 million (years 1-5) $5 million (year 4) plus 5% per year (years 5-20) $300,000 plus 4% per year increase (years 1-20) $500,000 (years 5-20)

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INTERNATIONAL JOURNALS OF ACADEMICS & RESEARCH IJARKE Business & Management Journal standard deviation of 1.564. The statement that collection policy monitors account receivable to know had a mean score of 3.68 and standard deviation of 1.463. The statement that circumstances for offering credit to clients had a mean score of 3.93 and a standard deviation of 1.078. 8.1.3 Account Receivables The third objective was to determine the effect of account receivables on financial performance of transport firms in Mombasa County. The statement in agreement that available debt collection policy has assisted towards effective debt management had a mean score of 4.21 and a standard deviation of 1.210. The statement that transport firms sets and follows debt collection policy and terms had a mean score 3.26 and a standard deviation of 1.435. The statement that the organization implements these terms and policies in case of failure to pay the loan had a mean score 3.60 and standard deviation of 1.374. The statement that favourable credit terms stimulate sales had a mean score of 3.59 and a standard deviation of 1.232. Table 5 Account Receivables Available debt collection policy has assisted towards effective debt management Transport firms sets and follows debt collection policy and terms The organization implements these terms and policies in case of failure to pay the loan Favourable credit terms stimulates sales Valid N (listwise) 8.1.4 Credit Terms ISSN: 2617-4138 www.ijarke.com DOI: 10.32898/ibmj.01/1.4article07 Table 6 Credit Terms Business growth has been as a result of proper financial management practices undertaken by the firm. There had been an improvement in debtor's collection by using credit collection policies The business growth depends on sales returns in terms of price of the product, sales in the period, number of customers in a period and credit collection policy in place Solvency-Long-term debt against your assets and equity Valid N (listwise) N 103 92 IJARKE PEER REVIEWED JOURNAL 103 103 103 103 N 103 103 103 103 103 Mean The fourth objective of the study was to examine influence of credit terms on financial performance of transport firms in Mombasa County. The statement that available debt collection policy has assisted towards effective debt management had a mean score of 4.21 and a standard deviation of 1.210. The statement that transport terms of sales had a mean score of 3.76 and a standard deviation of 1.302. The statement that credit collection period had a mean score of 3.57 and a standard deviation of 1.684. The statement those terms of extension of credit facilities as shown in Table 6 N 103 4.21 3.26 103 103 3.60 3.59 Mean Available debt collection policy has assisted towards effective debt management Transport terms of sales Credit collection period Terms of extension of credit facilities Valid N (listwise) 8.1.5 Financial Performance The statement that business growth has been as a result of proper financial management practices undertaken by the firm had a mean score of 3.68 and a standard deviation of 1.463. Table 7 Financial Performance Vol. 1, Issue 4 4.21 3.76 3.57 3.51 103 3.48 103 3.13 Std. Deviation 1.210 1.435 1.374 1.232 3.58 Std. Deviation Std. Mean Deviation 3.68 1.463 1.210 1.302 1.684 1.552 1.259 1.525 1.492 May-Jul. 2019

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