multiple questions on each of the 3 sheets.

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Business Finance

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Sheet 1 is the grading rubric

Part 1 – Budget Projection:

Your friends have decided to delay your dream vacation from Worksheet 1 for five years, and you need to estimate what the cost of your trip will be by then.

Step 1: Go to the Bureau of Labor Statistics website at https://data.bls.gov/cgi-bin/surveymost?cu.

Step 2: Check U.S. All items, 1982-84=100

Step 3: Click "Retrieve Data"

Use the most recent CPI value and the CPI for the same month but five years earlier to estimate the price of your trip in five years and the five year inflation rate.

**Parts 2 and 3 are explained on their sheets

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Part 1 Requirements: Answer each question fully. Use Excel formulas with cell references. Answers must be recorded o Possible points Points earned Five year inflation rate 10 Projection of expenses in Worksheet 1 10 Part 1 total 20 0 Part 2 Requirements: Answer each question fully. Use Excel formulas with cell references. Answers must be recorded o Possible points Points earned Descriptive Statistics 16 Interpret Descriptive Statistics 14 Proportion calculations 10 Interpretation of proportions 10 Conversion of before well 5 Conversion of after well 5 Improvement level data set 5 Descriptive Statistics for improvement levels 10 Histogram 5 Standard error of the mean 5 Confidence interval 10 Discussion of the placement of 0 10 Part 2 total 105 0 Total of Worksheet 2 125 0 t1 references. Answers must be recorded on the worksheet. Comments t2 references. Answers must be recorded on the worksheet. Comments 0% To prepare for the final project: This part of the assignment is not graded, an your final Mission Trip project. Your Mission Trip will occur in 5 years, so yo be able to do the 5 year projections of your M You should also be filling in the details of you from the Mission Trip assignment: • An overview of your project: Where are g be the sole purpose of your trip. • Cultural and social aspects of the country • How your choice of project works toward yourself: How does your personal worldv plans for the trip? • Information about your target population population of the country as a whole? • Aspects of the country that make it a suit • The economic situation in your co • Possible concerns that you need t could be safety from violence or f final project: ignment is not graded, and you will not hand it in at this time. It is here to help you stay on track for Trip project. will occur in 5 years, so you will need to make budget projections into the future. By now, you should year projections of your Mission Trip budget. filling in the details of your narrative. If asked, you should be able to answer the following questions rip assignment: your project: Where are going, and what service will you be providing? Remember, evangelism cannot pose of your trip. cial aspects of the country and its population that led you to choose this area of the world. e of project works toward fulfillment of the Judeo-Christian-Islamic ideal to love your neighbor as oes your personal worldview and the possible worldviews of your target population influence your out your target population: Who are you planning to serve? How does this population compare to the he country as a whole? ountry that make it a suitable location for your trip. In particular, include information about nomic situation in your country and how your project will improve this. e concerns that you need to keep in mind to keep your team and your target population safe. This e safety from violence or from health problems (for example, will your team need inoculations to Input your name here name Unadjusted CPI, all items for 5 years ago Unadjusted CPI, all items for last month Inflation rate: something that cost $1.00 five years ago would cost what now? What percent increase is this? Total budget from Worksheet 1 5 year projected budget total Month number number Year number number Part 1 – Budget Projection: Your friends have decided to delay your drea years, and you need to estimate what the cos Step 1: Go to the Bureau of Labor Statistics w bin/surveymost?cu. Step 2: Check U.S. All items, 1982-84=100 formula Step 3: Click "Retrieve Data" formula Use the most recent CPI value and the CPI for number estimate the price of your trip in five years an formula CPI number number ction: cided to delay your dream vacation from Worksheet 1 for five o estimate what the cost of your trip will be by then. eau of Labor Statistics website at https://data.bls.gov/cgi- l items, 1982-84=100 e Data" CPI value and the CPI for the same month but five years earlier to your trip in five years and the five year inflation rate. Before wells were dug Millions of E.Coli per ml 23 21 64 54 72 50 52 49 55 73 55 51 38 28 60 57 59 60 61 57 71 57 63 64 63 23 21 64 54 72 50 52 49 55 73 55 51 38 28 After wells were dug Millions of E.Coli per ml 52 3 35 44 49 35 38 10 32 52 17 37 26 0 44 40 30 42 34 33 50 40 38 43 52 0 3 35 44 49 35 38 10 32 52 17 37 26 0 YOUR NAME: Joe Lope Before min = formula max = formula mean= formula SD = formula sample size = formula/number 0 count = formula/number Ratio Percent Clean min = max = mean= SD = sample size = 0 count = Before formula Conversions ml 29.5735 oz 1 In 24 ounces E.coli before formula E. coli after formula After formula formula formula formula formula/number formula/number After formula 60 57 59 60 61 57 71 57 63 64 63 23 21 64 54 72 50 52 49 55 73 55 51 38 28 60 57 59 60 61 57 71 57 63 64 63 23 21 64 54 72 50 52 49 55 73 55 44 40 30 42 34 33 50 40 38 43 52 0 3 35 44 49 35 38 10 32 52 17 37 26 0 44 40 30 42 34 33 50 40 38 43 52 0 3 35 44 49 35 38 10 32 52 17 51 38 28 60 57 59 60 61 57 71 57 63 64 63 37 26 0 44 40 30 42 34 33 50 40 38 43 52 Part 2 – Data Analysis: Enter your name in cell F1 to generate data. You have just completed a mission to Sierra Leone. The goal of the mission was to improve the quality of water in 100 wells in a certain region. You collected data on the E. coli count from each well before and after your mission. You need to write a report on the success of the mission and for that you need to perform some statistical analysis on the data. You will be looking at the data from different perspectives to determine if the water quality has improve. 1. Calculate descriptive statistics for your data in the table provided in the Excel spreadsheet. Use the means and standard deviations of the data to decide if it appears that there has been improvement in water quality? (Fill in the before (F3:F8) and after (H3:H8) tables to the left for the descriptive statistics. The data has been named before and after for your convenience in creating formulas.) Answer here: 2. The water quality is “good” if the count of E coli is 0; otherwise, the water quality is still bad. Calculate the proportion of wells with “good” water to wells whose water is not good. From this measure does it appear that the quality of water improved? Explain and use the proportions that you calculated. (In G11 and H11 calculate the percent Clean for before and after.) Answer here: . 3. Look at well #1 (B2 and C2) in your data. If you drank 24oz of water how many E.coli would you ingest if you drank from the well before the mission? After the mission? (In E19 and G19 calculate how many E.coli would you ingest if you drank 24 oz. of water from Well 1 before the mission and after the mission.) ou ingest if many E.coli Original Before Data 78 19 32 125 53 68 4 106 38 36 4 17 43 23 32 49 36 2 33 58 75 82 80 70 79 73 76 72 72 70 84 81 69 85 100 70 74 63 Original After Data 67 4 23 110 41 42 10 79 6 16 14 5 9 3 8 28 18 21 22 25 59 63 60 52 50 66 54 42 55 53 54 62 59 52 69 57 45 39 76 78 87 71 83 71 75 76 63 70 65 83 76 78 76 68 77 75 67 74 86 85 72 73 59 72 64 67 79 64 86 74 83 81 70 71 68 76 72 71 86 86 88 78 73 84 78 60 75 64 41 67 56 57 58 39 38 50 59 48 59 49 47 51 58 53 45 58 67 48 65 43 55 25 48 55 33 65 53 61 55 47 54 54 64 55 55 77 62 67 59 45 57 53 77 88 83 70 65 74 73 79 87 79 77 66 73 85 77 57 68 61 32 48 52 53 58 59 57 55 52 58 63 55 Random seed numbers 9 17 25 33 41 49 57 65 73 81 89 97 5 13 21 29 37 45 53 61 69 77 85 93 1 9 17 25 33 41 49 57 65 73 81 89 97 5 8 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 63 4 17 110 38 53 0 91 23 21 0 2 28 8 17 34 21 0 18 43 60 67 65 55 64 58 61 57 57 55 69 66 54 70 85 55 59 48 52 0 8 95 26 27 0 64 0 1 0 0 0 0 0 13 3 6 7 10 44 48 45 37 35 51 39 27 40 38 39 47 44 37 54 42 30 24 13 21 29 37 45 53 61 69 77 85 93 1 9 17 25 33 41 49 57 65 73 81 89 97 5 13 21 29 37 45 53 61 69 77 85 93 1 9 17 25 33 41 49 57 65 73 81 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 61 63 72 56 68 56 60 61 48 55 50 68 61 63 61 53 62 60 52 59 71 70 57 58 44 57 49 52 64 49 71 59 68 66 55 56 53 61 57 56 71 71 73 63 58 69 63 45 60 49 26 52 41 42 43 24 23 35 44 33 44 34 32 36 43 38 30 43 52 33 50 28 40 10 33 40 18 50 38 46 40 32 39 39 49 40 40 62 47 52 44 30 42 38 89 97 5 13 21 29 37 45 53 61 69 77 85 93 1 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 62 73 68 55 50 59 58 64 72 64 62 51 58 70 62 42 53 46 17 33 37 38 43 44 42 40 37 43 48 40 Before After wells wells were dug - were dug Millions Millions of Improvement of E.Coli E.Coli per Level: per ml ml Before - After 23 21 64 54 72 50 52 49 55 52 3 35 44 49 35 38 10 32 IMPROVEMENTS min = formula max = formula mean= formula SD = formula SE = formula 73 55 51 38 28 60 57 59 60 61 57 71 57 63 64 63 23 21 64 54 72 50 52 49 55 73 55 51 38 52 17 37 26 0 44 40 30 42 34 33 50 40 38 43 52 0 3 35 44 49 35 38 10 32 52 17 37 26 Low High Bins Formula/NumberFormula/Number words or formula Formula/NumberFormula/Number words or formula Formula/NumberFormula/Number words or formula Formula/NumberFormula/Number words or formula Formula/NumberFormula/Number words or formula Formula/NumberFormula/Number words or formula Formula/NumberFormula/Number words or formula Formula/NumberFormula/Number words or formula Formula/NumberFormula/Number words or formula Formula/NumberFormula/Number words or formula Formula/NumberFormula/Number words or formula (remember to create the Histogram, too). Frequency Distribution 95% Confidence Interval Lower number to Higher number formula to formula 28 60 57 59 60 61 57 71 57 63 64 63 23 21 64 54 72 50 52 49 55 73 55 51 38 28 60 57 59 60 61 57 71 57 63 64 63 23 21 64 54 72 50 52 49 55 73 0 44 40 30 42 34 33 50 40 38 43 52 0 3 35 44 49 35 38 10 32 52 17 37 26 0 44 40 30 42 34 33 50 40 38 43 52 0 3 35 44 49 35 38 10 32 52 55 51 38 28 60 57 59 60 61 57 71 57 63 64 63 17 37 26 0 44 40 30 42 34 33 50 40 38 43 52 ncy Distribution Cumulative Frequency Formula Formula Formula Formula Formula Formula Formula Formula Formula Formula Formula eate the Histogram, too). Part 2 – Data Analysis: You have just completed a mission to Sierra Leone. The goal of the mission was to impro water in 100 wells in a certain region. You collected data on the E. coli count from each w your mission (Q2). You need to write a report on the success of the mission and for that y some statistical analysis on the data. You will be looking at the data from different persp if the water quality has improved. Frequency Formula Formula Formula Formula Formula Formula Formula Formula Formula Formula Formula 4. Since you collected water from the same source twice it makes sense to analyze the a well’s water quality improved. Calculate a data set that would measure the improveme and the descriptive statistics for that data set, including both the standard deviation an for the data set. (see section 3.5 of the textbook). Make a frequency distribution and hi data. (Calculate the improvement in the water quality of each well in column D. (Differe Then, fill out the two tables to the left and make a histogram of the improvement levels. deviation of this data set is not the same as the standard error. Use the formulas from se to calculate the standard error of the means.)) 5. You have calculated one sample of 100 wells and their improvement levels. If you cou samples of 100 wells, the distribution of all of those sample means would be a normal di section 3.5). Find the 95% confidence interval of that distribution, using your sample m population mean and the standard error of your sample as the population standard de the 95% confidence interval of the sampling distribution in cells F24 and H24.) 6. Suppose that 0 was inside of the 95% confidence interval. From that measure, water became cleaner? Why or why not? Suppose that 0 was outside the 95% confidenc measure, could you conclude that the water became cleaner? Why or why not? Answer here: f the mission was to improve the quality of he E. coli count from each well before (Q1) after f the mission and for that you need to perform e data from different perspectives to determine akes sense to analyze the amount by which each d measure the improvement level of each well, h the standard deviation and standard error (SE) quency distribution and histogram for your well in column D. (Difference in Level of e. Coli.) of the improvement levels. (NOTE: The Standard r. Use the formulas from section 3.5 of the text ovement levels. If you could take all possible means would be a normal distribution. (see ution, using your sample mean as the he population standard deviation. (Calculate ells F24 and H24.) rom that measure, could you conclude that the outside the 95% confidence interval. From that ? Why or why not?
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