Input your name here Christina Rhoades Unadjusted CPI, all items for 5 years ago Unadjusted CPI, all items for last month Month Febuary Febuary Year CPI 2012 2017 227.63 242.83 Part 1 - Budget Projection: your dream vacation from Worksheet 1 for Inflation rate: something that cost $1.00 five Your friends have decided $to delay1.06 years, and you need to estimate what the cost of your trip will be by then. Go years ago would cost what now? Bureau of Labor Statistics website at http://www.bls.gov/cpi/tables.htm and What percent increase is this? 6% Report (complete text and tables). download the most current CPI Detailed In Total budget from Worksheet 1 $10,352 document, locate the table \"U.S. City Average - Historical - All Items 1913 - present.\" (usually this is table 24 in the document). Use the most recent CPI va 5 year projected budget total $10,973.12 and the CPI for the same month but five years earlier to estimate the price of y trip in five years and the five year inflation rate. cation from Worksheet 1 for five your trip will be by then. Go to the bls.gov/cpi/tables.htm and complete text and tables). In this istorical - All Items 1913 - t). Use the most recent CPI value rlier to estimate the price of your Before wells After wells were dug - were dug Millions of Millions of E.Coli per ml E.Coli per ml 56 6 85 54 63 44 71 50 62 42 17 8 43 10 59 30 53 32 68 46 68 46 38 26 67 48 61 45 60 43 55 32 50 33 0 0 55 37 72 49 59 30 53 39 58 38 23 0 58 51 68 52 70 52 57 40 72 44 0 0 57 27 60 42 58 50 71 62 62 40 28 0 55 38 48 24 YOUR NAME: Christina Rhoades Before min = formula max = formula mean= formula SD = formula sample size = formula/number 0 count = formula/number Ratio Percent Clean After min = formula max = formula mean= formula SD = formula sample size = formula/number 0 count = formula/number Before formula Conversions ml 29.5735 oz 1 In 24 ounces E.coli before formula E. coli after formula After formula 57 73 58 17 66 50 52 58 62 21 70 61 49 63 4 18 55 61 59 73 110 60 48 62 66 55 53 8 69 55 49 63 70 34 54 68 64 69 63 0 85 63 71 62 17 40 52 43 0 47 35 33 30 40 3 37 33 18 38 0 7 42 34 38 53 95 44 24 36 40 17 27 0 39 23 10 44 48 13 44 44 40 42 52 6 54 44 50 42 8 43 59 53 68 68 38 67 61 60 55 50 0 55 72 59 53 58 10 30 32 46 46 26 48 45 43 32 33 0 37 49 30 39 38 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 G19 and H19 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.) Answer here: e quality of efore and eed to rspectives Use the ement in statistics. . Calculate re does it d. (In G19 you ingest w many the 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 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 63 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 39 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 73 84 78 77 88 83 70 65 74 73 79 87 79 77 66 73 85 77 45 57 53 57 68 61 32 48 52 53 58 59 57 55 52 58 63 55 Random seed numbers 18 35 52 69 86 3 20 37 54 71 88 5 22 39 56 73 90 7 24 41 58 75 92 9 26 43 60 77 94 11 28 45 62 79 96 13 30 17 1 63 24 3 17 4 110 5 38 6 53 70 8 91 9 23 10 21 11 0 12 2 13 28 14 8 15 17 16 34 17 21 18 0 19 18 20 43 21 60 22 67 23 65 24 55 25 64 26 58 27 61 28 57 29 57 30 55 31 69 32 66 33 54 34 70 35 85 36 55 37 59 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 47 64 81 98 15 32 49 66 83 100 17 34 51 68 85 2 19 36 53 70 87 4 21 38 55 72 89 6 14 31 48 65 82 99 16 33 50 67 84 1 18 35 52 69 86 38 48 39 61 40 63 41 72 42 56 43 68 44 56 45 60 46 61 47 48 48 55 49 50 50 68 51 61 52 63 53 61 54 53 55 62 56 60 57 52 58 59 59 71 60 70 61 57 62 58 63 44 64 57 65 49 66 52 67 64 68 49 69 71 70 59 71 68 72 66 73 55 74 56 75 53 76 61 77 57 78 56 79 71 80 71 81 73 82 63 24 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 3 20 37 54 71 88 5 22 39 56 73 90 7 24 41 58 75 92 83 58 84 69 85 63 86 62 87 73 88 68 89 55 90 50 91 59 92 58 93 64 94 72 95 64 96 62 97 51 98 58 99 70 100 62 30 42 38 42 53 46 17 33 37 38 43 44 42 40 37 43 48 40 Before wells were After wells dug were dug Millions of Millions of Improvement E.Coli per E.Coli per Level: ml ml Before - After 56 6 85 54 63 44 71 50 62 42 17 8 43 10 59 30 53 32 68 46 68 46 38 26 67 48 61 45 60 43 55 32 50 33 0 0 55 37 72 49 59 30 53 39 58 38 23 0 58 51 68 52 70 52 57 40 72 44 0 0 57 27 60 42 58 50 71 62 62 40 28 0 55 38 48 24 IMPROVEMENTS min = formula max = formula mean= formula SD = formula SE = formula Frequency Distribution Low High Title Formula/NumberFormula/N words or formula Formula/NumberFormula/N words or formula Formula/NumberFormula/N words or formula Formula/NumberFormula/N words or formula Formula/NumberFormula/N words or formula Formula/NumberFormula/N words or formula Formula/NumberFormula/N words or formula Formula/NumberFormula/N words or formula Formula/NumberFormula/N words or formula Formula/NumberFormula/N words or formula Formula/NumberFormula/N words or formula (remember to create the Histogram, too). 95% Confidence Interval Lower number to Higher number formula to formula 57 73 58 17 66 50 52 58 62 21 70 61 49 63 4 18 55 61 59 73 110 60 48 62 66 55 53 8 69 55 49 63 70 34 54 68 64 69 63 0 85 63 71 62 17 40 52 43 0 47 35 33 30 40 3 37 33 18 38 0 7 42 34 38 53 95 44 24 36 40 17 27 0 39 23 10 44 48 13 44 44 40 42 52 6 54 44 50 42 8 43 59 53 68 68 38 67 61 60 55 50 0 55 72 59 53 58 10 30 32 46 46 26 48 45 43 32 33 0 37 49 30 39 38 ncy Distribution Cumulative FrequeFrequency Formula Formula Formula Formula Formula Formula Formula Formula Formula Formula Formula 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 improv in 100 wells in a certain region. You collected data on the E. coli count from each well bef mission (Q2). You need to write a report on the success of the mission and for that you ne statistical analysis on the data. You will be looking at the data from different perspectives water quality has improved. 4. Since you collected water from the same source twice it makes sense to analyze the am well's water quality improved. Calculate a data set that would measure the improvemen 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 (Calculate the improvement in the water quality of each well in column D. (Difference in fill out the two tables to the left and make a histogram of the improvement levels. (NOTE deviation of this data set is not the same as the standard error. Use the formulas from se calculate the standard error of the means.)) 5. You have calculated one sample of 100 wells and their improvement levels. If you coul samples of 100 wells, the distribution of all of those sample means would be a normal di 3.5). Find the 95% confidence interval of that distribution, using your sample mean as t and the standard error of your sample as the population standard deviation. (Calculate interval of the sampling distribution in cells F24 and H24.) 6. Suppose that 0 was inside of the 95% confidence interval. From that measure, could y water became cleaner? Why or why not? Suppose that 0 was outside the 95% confidence measure, could you conclude that the water became cleaner? Why or why not? Answer here: the mission was to improve the quality of water i count from each well before (Q 1) after your mission and for that you need to perform some rom different perspectives to determine if the kes sense to analyze the amount by which each measure the improvement level of each well, the standard deviation and standard error (SE) uency distribution and histogram for your data. n column D. (Difference in Level of e. Coli.) Then, mprovement levels. (NOTE: The Standard Use the formulas from section 3.5 of the text to vement levels. If you could take all possible eans would be a normal distribution. (see section ng your sample mean as the population mean dard deviation. (Calculate the 95% confidence om that measure, could you conclude that the utside the 95% confidence interval. From that Why or why not? Part 1 Requirements: Answer each question fully. Use Excel formulas with cell references. Answers must be recorded on 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 on Possible points Points earned Descriptive Statistics 16 Interpret Descriptive Statistics 14 Conversion of before well 5 Conversion of after well 5 Proportion calculations 10 Interpretation of proportions 10 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 1 references. Answers must be recorded on the worksheet. Comments 2 references. Answers must be recorded on the worksheet. Comments 0% To prepare for the final project: This part of the assignment is not graded, and your final Mission Trip project. Your Mission Trip will occur in 5 years, so you be able to do the 5 year projections of your M You should also be filling in the details of your questions from the Mission Trip assignment: An overview of your project: Where are go cannot be the sole purpose of your trip. Cultural and social aspects of the country a How your choice of project works toward f yourself: How does your personal worldvie plans for the trip? Information about your target population: the population of the country as a whole? Aspects of the country that make it a suita The economic situation in your cou Possible concerns that you need to could be safety from violence or fr travel to the country) e final project: ssignment is not graded, and you will not hand it in at this time. It is here to help you stay on track for n Trip project. will occur in 5 years, so you will need to make budget projections into the future. By now, you should 5 year projections of your Mission Trip budget. e filling in the details of your narrative. If asked, you should be able to answer the following he Mission Trip assignment: f your project: Where are going, and what service will you be providing? Remember, evangelism sole purpose of your trip. ocial aspects of the country and its population that led you to choose this area of the world. ce of project works toward fulfillment of the Judeo-Christian-Islamic ideal to love your neighbor as does your personal worldview and the possible worldviews of your target population influence your rip? bout your target population: Who are you planning to serve? How does this population compare to n of the country as a whole? country that make it a suitable location for your trip. In particular, include information about onomic situation in your country and how your project will improve this. le concerns that you need to keep in mind to keep your team and your target population safe. This be safety from violence or from health problems (for example, will your team need inoculations to to the country)