MAT 144 Major Assignment 2
Question # 00796208
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Updated on: 03/01/2021 06:50 AM Due on: 03/27/2021
Answer directly on the worksheet.
This assignment uses a scoring guide. Review the scoring guide on the last tab of the spreadsheet prior to beginning the assignment to become familiar with the expectations for successful completion.
Please note that the Confidence Interval Explanation document is provided for reference and assistance with Major Assignment 2.

Grading Sheet
Part 1 Requirements: Answer each question fully. Use Excel formulas with cell references. Answers must be recorded on the worksheet. Possible points Points earned Comments 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 the worksheet. Possible points Points earned Comments 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 0% Part 1 Inflation
Input your name here name You should just use information from Major Assignment 2, but if you want to retrieve fresh CPI data, here are the instrructions again. Step 1: Go to the Bureau of Labor Statistics website at the link below. Step 2: Check U.S. All items, 198284=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. Month Year CPI Unadjusted CPI, all items for 5 years ago number number number Unadjusted CPI, all items for last month number number number What is the 5 year inflation rate, that is percent increase in your CPI values? formula If something cost $1.00 five years ago, what would it cost now? formula Total budget from Worksheet 1 number 5 year projected budget total formula CPI Data Link Like Topic 4 DQ 1 https://data.bls.gov/cgibin/surveymost?cu
Part 2 Questions 13
Before wells were dug  Millions of E.Coli per ml After wells were dug  Millions of E.Coli per ml YOUR NAME: Joe Lope 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. Original Before Data Original After Data Random numbers seed 23 52 Before After 8 21 3 min = formula min = formula Recall Topic 1 DQ 2 78 67 9 1 63 52 64 35 max = formula max = formula 1. Calculate descriptive statistics for your data in the table provided in the Excel spreadsheet. Use the statistics including mean, max and standard deviations of the data to decide if it appears if there has been improvement in water quality? This requires a thorough discussion of these statistics to obtain full marks. (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.) 19 4 17 2 4 0 54 44 mean= formula mean= formula 32 23 25 3 17 8 72 49 SD = formula SD = formula 125 110 33 4 110 95 50 35 # of wells tested = formula
Richard Ketchersid: Richard Ketchersid: Use =count()# of wells tested = formula 53 41 41 5 38 26 52 38 # of wells with 0 E coli = formula
Richard Ketchersid: Richard Ketchersid: Use =Countif()# of wells with 0 E coli = formula 68 42 49 6 53 27 49 10 4 10 57 7 0 0 55 32 Ratio Before After 106 79 65 8 91 64 73 52 Percent Clean formula formula Answer Question 1 here: 38 6 73 9 23 0 55 17 36 16 81 10 21 1 51 37 Conversions 4 14 89 11 0 0 38 26 ml oz 17 5 97 12 2 0 28 0 29.5735 1 43 9 5 13 28 0 60 44 23 3 13 14 8 0 57 40 In 24 ounces 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.) 32 8 21 15 17 0 59 30 E.coli before E. coli after 49 28 29 16 34 13 60 42 formula formula 36 18 37 17 21 3 61 34 2 21 45 18 0 6 57 33 33 22 53 19 18 7 71 50 58 25 61 20 43 10 57 40 Answer Question 2 here: 75 59 69 21 60 44 63 38 82 63 77 22 67 48 64 43 80 60 85 23 65 45 63 52 70 52 93 24 55 37 23 0 79 50 1 25 64 35 21 3 73 66 9 26 58 51 64 35 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.) 76 54 17 27 61 39 54 44 72 42 25 28 57 27 72 49 72 55 33 29 57 40 50 35 70 53 41 30 55 38 52 38 84 54 49 31 69 39 49 10 Nothing to answer here! 81 62 57 32 66 47 55 32 69 59 65 33 54 44 73 52 85 52 73 34 70 37 55 17 100 69 81 35 85 54 51 37 70 57 89 36 55 42 38 26 74 45 97 37 59 30 28 0 63 39 5 38 48 24 60 44 76 60 13 39 61 45 57 40 78 75 21 40 63 60 59 30 87 64 29 41 72 49 60 42 71 41 37 42 56 26 61 34 83 67 45 43 68 52 57 33 71 56 53 44 56 41 71 50 75 57 61 45 60 42 57 40 76 58 69 46 61 43 63 38 63 39 77 47 48 24 64 43 70 38 85 48 55 23 63 52 65 50 93 49 50 35 23 0 83 59 1 50 68 44 21 3 76 48 9 51 61 33 64 35 78 59 17 52 63 44 54 44 76 49 25 53 61 34 72 49 68 47 33 54 53 32 50 35 77 51 41 55 62 36 52 38 75 58 49 56 60 43 49 10 67 53 57 57 52 38 55 32 74 45 65 58 59 30 73 52 86 58 73 59 71 43 55 17 85 67 81 60 70 52 51 37 72 48 89 61 57 33 38 26 73 65 97 62 58 50 28 0 59 43 5 63 44 28 60 44 72 55 13 64 57 40 57 40 64 25 21 65 49 10 59 30 67 48 29 66 52 33 60 42 79 55 37 67 64 40 61 34 64 33 45 68 49 18 57 33 86 65 53 69 71 50 71 50 74 53 61 70 59 38 57 40 83 61 69 71 68 46 63 38 81 55 77 72 66 40 64 43 70 47 85 73 55 32 63 52 71 54 93 74 56 39 23 0 68 54 1 75 53 39 21 3 76 64 9 76 61 49 64 35 72 55 17 77 57 40 54 44 71 55 25 78 56 40 72 49 86 77 33 79 71 62 50 35 86 62 41 80 71 47 52 38 88 67 49 81 73 52 49 10 78 59 57 82 63 44 55 32 73 45 65 83 58 30 73 52 84 57 73 84 69 42 55 17 78 53 81 85 63 38 51 37 77 57 89 86 62 42 38 26 88 68 97 87 73 53 28 0 83 61 5 88 68 46 60 44 70 32 13 89 55 17 57 40 65 48 21 90 50 33 59 30 74 52 29 91 59 37 60 42 73 53 37 92 58 38 61 34 79 58 45 93 64 43 57 33 87 59 53 94 72 44 71 50 79 57 61 95 64 42 57 40 77 55 69 96 62 40 63 38 66 52 77 97 51 37 64 43 73 58 85 98 58 43 63 52 85 63 93 99 70 48 77 55 1 100 62 40 Part 2 Questions 46
Before wells were dug  Millions of E.Coli per ml After wells were dug  Millions of E.Coli per ml Improvement Data: Before  After Part 2 – Data Analysis: 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 (Q1) after your mission (Q2). 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 improved. 23 52 formula IMPROVEMENTS 21 3 formula min = formula All computations use column D, the "Improvement" data. 4. Since you collected water from the same source twice it makes sense to analyze the amount by which each well’s water quality improved. Calculate a data set that would measure the improvement level of each well, and the descriptive statistics for that data set, including both the standard deviation and standard error (SE) for the data set. (see section 3.5 of the textbook). Make a frequency distribution and histogram for your data. (Calculate the improvement in the water quality of each well in column D. (Difference in Level of e. Coli.) Then, fill out the two tables to the left and make a histogram of the improvement levels. (NOTE: The Standard deviation of this data set is not the same as the standard error. Use the formulas from section 3.5 of the text to calculate the standard error of the means.)) 64 35 formula max = formula 54 44 formula mean= formula 72 49 formula SD = formula 50 35 formula SE = formula 52 38 formula 49 10 formula 55 32 formula Frequency Distribution 73 52 formula Low High Bins Cumulative Frequency Frequency 55 17 formula Formula/Number Formula/Number words or formula formula formula 51 37 formula Formula/Number Formula/Number words or formula formula formula 5. You have calculated one sample of 100 wells and their improvement levels. If you could take all possible samples of 100 wells, the distribution of all of those sample means would be a normal distribution. (see section 3.5). Find the 95% confidence interval of that distribution, using your sample mean as the population mean and the standard error of your sample as the population standard deviation. (Calculate the 95% confidence interval of the sampling distribution in cells F24 and H24.) 38 26 formula Formula/Number Formula/Number words or formula formula formula 28 0 formula Formula/Number Formula/Number words or formula formula formula 60 44 formula Formula/Number Formula/Number words or formula formula formula 57 40 formula Formula/Number Formula/Number words or formula formula formula 59 30 formula Formula/Number Formula/Number words or formula formula formula 60 42 formula Formula/Number Formula/Number words or formula formula formula 6. Recall that a 95% confidence interval shows a range of values that is 95% likely to contain the true value of a parameter. For example, if your 95% confidence interval for the average improvement level is (14, 18), it would mean that the true average improvement level is 95% likely to be in the range (14, 18). Now answer each of these questions: a) What would it mean for the average improvement in water quality to be 0? b) Look at the confidence interval you calculatedis the value 0 inside or outside your confidence interval? c) If the value 0 is outside your 95% confidence interval, can you conclude (with 95% confidence) that the water became cleaner? d) What if the value 0 were inside your confidence interval? Could you conclude in that case that the water became cleaner or not? 61 34 formula Formula/Number Formula/Number words or formula formula formula 57 33 formula Formula/Number Formula/Number words or formula formula formula 71 50 formula Formula/Number Formula/Number words or formula formula formula 57 40 formula (remember to create the Histogram, too). 63 38 formula 64 43 formula 63 52 formula 23 0 formula 95% Confidence Interval 21 3 formula Lower number to Higher number 64 35 formula formula to formula 54 44 formula Answer Question 6 (a): 72 49 formula 50 35 formula 52 38 formula 49 10 formula 55 32 formula 73 52 formula 55 17 formula 51 37 formula Answer Quastion 6 (b): 38 26 formula 28 0 formula Answer Question 6 (c): 60 44 formula 57 40 formula Answer Question 6 (d): 59 30 formula 60 42 formula 61 34 formula 57 33 formula 71 50 formula 57 40 formula 63 38 formula 64 43 formula 63 52 formula 23 0 formula 21 3 formula 64 35 formula 54 44 formula 72 49 formula 50 35 formula 52 38 formula 49 10 formula 55 32 formula 73 52 formula 55 17 formula 51 37 formula 38 26 formula 28 0 formula 60 44 formula 57 40 formula 59 30 formula 60 42 formula 61 34 formula 57 33 formula 71 50 formula 57 40 formula 63 38 formula 64 43 formula 63 52 formula 23 0 formula 21 3 formula 64 35 formula 54 44 formula 72 49 formula 50 35 formula 52 38 formula 49 10 formula 55 32 formula 73 52 formula 55 17 formula 51 37 formula 38 26 formula 28 0 formula 60 44 formula 57 40 formula 59 30 formula 60 42 formula 61 34 formula 57 33 formula 71 50 formula 57 40 formula 63 38 formula 64 43 formula 63 52 formula

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