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Words 1057

Pages 5

Both House Director Pat Montesian and Don Gately’s A.A. sponsor like to remind him how the new Ennet House resident Geoffrey Day could be an invaluable teacher for him, Gately, as Staff.

“So then at forty-six years of age I came here to learn to live by clichés” is what Day says to Charlotte Treat right after Randy Lenz asked what time it was at 0825. “To turn my will and life over to the care of clichés. One day at a time. Easy does it. First things first. Ask for help. Thy will not mine be done. It works if you work it. Grow or go. Keep coming back.”

Poor old Charlotte Treat, needlepointing primly beside him on the old vinyl couch that just came from Goodwill, purses her lips. “You need to ask for some gratitude.”

“Oh no but the point is that I’ve already been fortunate enough to receive gratitude.” Day crosses one leg over the other in a way that inclines his whole little soft body toward her. “For which, believe you me, I’m grateful. I cultivate gratitude. That’s part of the system of clichés I’m here to live by. An attitude of gratitude. A grateful drunk will never drink. I know the actual cliché is ‘A grateful heart will never drink,’ but since organs can’t properly be said to imbibe and I’m still afflicted with just enough self-will to decline to live by utter non sequiturs, as opposed to just good old clichés, I’m taking the doubtless hazardous liberty of light amendment. Albeit grateful amendment, of course.”

Charlotte Treat looks over to Gately for some sort of help or Staff enforcement of dogma. The poor bitch is clueless. All of them are clueless, still. Gately reminds himself that he too is probably still mostly clueless, even after all these hundreds of days. “I Didn’t Know That I Didn’t Know” is another of these slogans that look so shallow for a while and then all of a sudden drop off and deepen like the lobster waters off the North…...

...Project Part B: Hypothesis Testing and Confidence Intervals a. The average (mean) annual income was less than $50,000 Null Hypothesis: The average annual income was greater than or equal to $50,000 H₀: µ > 50000 Alternate Hypothesis: The average annual income was less than $50,000. Ha: µ > 50000 Analysis Plan: Significance Level, α=0.05. Since the sample size, n > 30 I will use z-test for mean to test the given hypothesis. As the alternative hypothesis is Ha: µ > 50000, the given test is a one-tailed z-test. Critical Value and Decision Rule: The critical value for significance level, α=0.05 for a lower-tailed z-test is given as-1.645. Decision Rule: Reject H₀, if z – statistic, -1.645 Test Statistic - minitab One-Sample Z: Income ($1000) Test of mu = 50 vs < 50 The assumed standard deviation = 14.55 95% Upper Variable N Mean StDev SE Mean Bound Z P Income ($1000) 50 43.48 14.55 2.06 46.86 -3.17 0.001 Interpretation of Results and Conclusion: Since the P-value (0.0001) is smaller than the significance level (0.05), we reject the null hypothesis. The p-value implies the probability of rejecting a true null hypothesis. The significance level of 0.05, there is enough evidence to support the claim that the average annual income was less than $50,000. Confidence Interval - minitab One-Sample Z The assumed standard deviation = 14.55 N Mean SE Mean 95% CI 50 43.48 2.06 (39.45, 47.51) The 95% upper confidence limit......

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...edu/montgomery/lecture-7 Point Estimate vs. Interval Estimate To estimate population parameters, statisticians use sample statistics. For example, we use sample means to estimate population means and we use sample proportions to estimate population proportions. An estimate of a population parameter can be expressed in one of two ways: * Point estimate. A point estimate of a population parameter is a single value of a statistic. For example, the sample mean x is a point estimate of the population mean μ. In the same way, a sample proportion p is a point estimate of the population proportion P. * Interval estimate. An interval estimate is defined by two numbers, and the population parameter is said to lie between those two numbers. For example, a < x < b represents an interval estimate of the population mean μ. It expresses that the population mean is greater than a but less than b. Confidence Intervals To express the precision and uncertainty that are associated with a particular sampling method statisticians use a confidence interval. A confidence interval consists of three parts: * A confidence level. * A statistic. * A margin of error. The confidence level is used to describe the uncertainty of a sampling method. The margin of error and the statistic define an interval estimate that describes the precision of the method. Confidence intervals are preferred to point estimates, because confidence intervals express both the: a.......

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...constructing confidence intervals for the proportion of each color as well as the mean number of candies per bag. You will use the methods of 6.3 for the proportions and 6.1 for the mean. For the Bonus, you will use the sample size formula on page 338. You can use StatCrunch to assist with the calculations. A link for StatCrunch can be found under Tools for Success in Course Home. Here is also a link: http://statcrunch.pearsoncmg.com/statcrunch/larson_les4e/dataset/index.html. You can also find additional help on both confidence intervals and StatCrunch in the Online Math Workshop under Tab: “MAT300 Archived Workshops”. Specifically you will be looking for Confidence Intervals and Using Technology – CI. Submit your answers in Excel, Word or pdf format. Submit your file through the M&M® project link in the weekly course content. If calculating by hand, be sure to keep at least 4-6 decimal places for the sample proportions to eliminate large rounding errors. 3 pts. Construct a 95% Confidence Interval for the proportion of blue M&Ms® candies. 3 pts. Construct a 95% Confidence Interval for the proportion of orange M&Ms® candies. 3 pts. Construct a 95% Confidence Interval for the proportion of green M&Ms® candies. 3 pts. Construct a 95% Confidence Interval for the proportion of yellow M&Ms® candies. 3 pts. Construct a 95% Confidence Interval for the proportion of red M&Ms® candies. 3 pts. Construct a 95% Confidence Interval for the......

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...INTRO: Not many training breakthroughs attract attention unless they produce unbelievable results. Wouldn’t you all agree?? Well I’m here to tell you that Interval Training is one of those methods. Today I will talk about what IT is, some of the great benefits and finally, how to get started, in hopes that you will want to try IT as part of your fitness plan and healthy lifestyle or at least arouse your curiosity about this training method. TOPIC 1: What is Interval Training? Interval training has been shown to be THE most effective cardiovascular training method for improving cardiovascular endurance, sport-specific performance, boosting metabolic rate, and best of all, burning fat! It is a form of cardio-respiratory Training involving a combination of high intensity work and low intensity work OR rest in repeated successions. In other words, a high intensity activity is followed by a low intensity one, or by rest, allowing the body to recover its energy systems faster for the next high intensity activity. This also allows the body to…. TOPIC 2: Benefits of Interval Training Interval training is awesome for fat burning and aerobic conditioning but let’s have a look at 3 more benefits and reasons to use interval training for your cardio workouts. (1) IT Has a wide variety of programs and methods. Because of its versatility, IT offers 1000s of different program variations. This is especially great for those looking for variety and change. Almost all aerobic......

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...CHAPTER 8: CONFIDENCE INTERVAL ESTIMATION 1. The width of a confidence interval estimate for a proportion will be a) narrower for 99% confidence than for 95% confidence. b) wider for a sample size of 100 than for a sample size of 50. c) narrower for 90% confidence than for 95% confidence. d) narrower when the sample proportion is 0.50 than when the sample proportion is 0.20. ANSWER: c TYPE: MC DIFFICULTY: Moderate KEYWORDS: confidence interval, proportion, properties, width 2. When determining the sample size for a proportion for a given level of confidence and sampling error, the closer to 0.50 that p is estimated to be, the __________ the sample size required. a) smaller b) larger c) The sample size is not affected. d) The effect cannot be determined from the information given. ANSWER: b TYPE: MC DIFFICULTY: Moderate KEYWORDS: confidence interval, proportion, properties 3. A 99% confidence interval estimate can be interpreted to mean that a) if all possible samples are taken and confidence interval estimates are developed, 99% of them would include the true population mean somewhere within their interval. b) we have 99% confidence that we have selected a sample whose interval does include the population mean. c) both of the above d) none of the above ANSWER: c TYPE: MC DIFFICULTY: Moderate ......

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...level of confidence would produce the widest confidence interval? Choose the correct answer below. 1. 90% 2. 98% 3. 99% 4. 95% 1. Given the same sample statistics, which level of confidence would produce the widest confidence interval? Choose the correct answer below. 1. 99% 2. 95% 3. 98% 4. 90% Use the values on the number line to find the sampling error. The sampling error is 1.56 2. Use the values on the number line to find the sampling error. The sampling error is 1.69 3 Find the margin of error for the given values of c, s, and n. C=0.90, s=3.4, n=81 E= 0.621 (Round to three decimal places as needed) • Find the margin of error for the given values of c, s, and n. C=0.90, s=3.6, n=81 E= .658 (Round to three decimal places as needed) • Construct the confidence interval for the population mean µ. A 98% confidence interval for µ is (5.95,6.45) (Round to two decimal places as needed) 4 Construct the confidence interval for the population meanµ. A 98% confidence interval for µ is (7.04,7.16), (Round to two decimal places as needed) • Construct the confidence interval for the population mean µ. A 90% confidence interval for µ is (15.5,17.9). (Round to one decimal place as needed) 5 Construct the confidence interval for the population mean µ. A 98% confidence interval for µ is (15.1,16.5). (Round to one decimal place as needed) 6 Use the confidence interval to find the estimated margin of error. Then......

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...level of confidence would produce the widest confidence interval? Choose the correct answer below. 1. 90% 2. 98% 3. 99% 4. 95% 1. Given the same sample statistics, which level of confidence would produce the widest confidence interval? Choose the correct answer below. 1. 99% 2. 95% 3. 98% 4. 90% Use the values on the number line to find the sampling error. The sampling error is 1.56 2. Use the values on the number line to find the sampling error. The sampling error is 1.69 3 Find the margin of error for the given values of c, s, and n. C=0.90, s=3.4, n=81 E= 0.621 (Round to three decimal places as needed) • Find the margin of error for the given values of c, s, and n. C=0.90, s=3.6, n=81 E= .658 (Round to three decimal places as needed) • Construct the confidence interval for the population mean µ. A 98% confidence interval for µ is (5.95,6.45) (Round to two decimal places as needed) 4 Construct the confidence interval for the population meanµ. A 98% confidence interval for µ is (7.04,7.16), (Round to two decimal places as needed) • Construct the confidence interval for the population mean µ. A 90% confidence interval for µ is (15.5,17.9). (Round to one decimal place as needed) 5 Construct the confidence interval for the population mean µ. A 98% confidence interval for µ is (15.1,16.5). (Round to one decimal place as needed) 6 Use the confidence interval to find the estimated margin of error. Then......

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...STAT 121: Writing Assignment 1 Confidence Intervals http://homeworklance.com/downloads/stat-121-writing-assignment-1-confidence-intervals/ STAT 121: Writing Assignment 1 Confidence Intervals Confidence Intervals (12 points) Directions: Read the following article and answer each question completely but concisely. Be sure to save a copy of your work, and see the syllabus for submission details. (The spacing between the questions is not necessarily an indication of the expected response length.) Journal March 26, 2010 Resting Heart Rates of American Adults A normal resting heart rate for adults ranges from 60 to 100 beats a minute,” reports Dr. Edward Laskowski of the Mayo Clinic. Lower resting heart rates are generally associated with higher cardiovascular fitness. With the marked increase in obesity in America, there is rising concern that the average resting heart rate of American adults is trending towards the higher end of the accepted range. A recent study conducted by the Statistical Health Association of America validates this concern. Results were based on a sample of 1587 American adults (ages 18 and older). The mean resting heart rate from this sample was calculated at 87 beats per minute (bpm). The study concludes that, with 95% confidence, the true mean resting heart rate of American adults is in the interval (80, 94). (1 point) What is the population that the confidence interval in the article is making an inference about? Be specific. It is making an......

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...MAT 510 WEEK 9 DQ CONFIDENCE INTERVAL LATEST To purchase this visit following link: http://www.activitymode.com/product/mat-510-week-9-dq-confidence-interval-latest/ Contact us at: SUPPORT@ACTIVITYMODE.COM MAT 510 WEEK 9 DQ CONFIDENCE INTERVAL LATEST “Confidence Interval” Note: Online students, please select one of the two subjects to discuss. • Use the Internet or Strayer Library to research articles on confidence interval and its application in business. Select one (1) company or organization which utilized confidence interval technique to measure its performance parameters (e.g., mean, variance, mean differences between two processes, etc.). Give your opinion as to whether or not the utilization of such a technique improves business process for the company or organization that you selected. Justify your response. • Select one (1) project from your working or educational environment in which you would use the confidence interval technique for the process. Next, speculate on one to two (1-2) challenges of utilizing such a technique in the process and suggest your strategy to mitigate the challenges in question. Activity Mode aims to provide quality study notes and tutorials to the students of MAT 510 Week 9 DQ Confidence Interval Latest in order to ace their studies. MAT 510 WEEK 9 DQ CONFIDENCE INTERVAL LATEST To purchase this visit following link: http://www.activitymode.com/product/mat-510-week-9-dq-confidence-interval-latest/ Contact us......

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...Case Study 2, Under Armour’s Strategy Under Armour is an emerging company in the sports apparel industry whose mission is to “Make all athletes better through passion, science and the relentless pursuit of innovation”. Under Armour was a disruptive innovator in the sports apparel industry by creating sports apparel using synthetic materials as an alternative to natural fibers, such as cotton. This important change in material resulted in a “shirt that provided compression and wicked perspiration off your skin rather than absorb it…that worked with your body to regulate temperature and enhance performance”. This promise to increase athletic performance differentiated it from competing sports apparel companies, but rivals have since implemented synthetic materials into their product lines. This case study seeks to analyze Under Armour’s history, resources, capabilities, and core competencies, business and corporate-level strategies, as well as the general environment and competitive landscape. After careful inspection of these varying areas, the factors contributing to Under Armour’s current success and future challenges will become clearer. The conception for Under Armour began over a year ago when CEO Kevin Plank played on the University of Maryland football team. Frustrated with having to repeatedly change his cotton shirt during practice, he envisioned a shirt whose materials allowed the perspiration to dry quickly, causing the athlete to be quicker, faster, and......

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...STAT 121: Writing Assignment 1 Confidence Intervals To Buy this Class Copy & paste below link in your Brower http://homeworkregency.com/downloads/stat-121-writing-assignment-1-confidence-intervals/ Or Visit Our Website Visit : http://www.homeworkregency.com Email Us : homeworkregency@gmail.com STAT 121: Writing Assignment 1 Confidence Intervals STAT 121: Writing Assignment 1 Confidence Intervals (12 points) Directions: Read the following article and answer each question completely but concisely. Be sure to save a copy of your work, and see the syllabus for submission details. (The spacing between the questions is not necessarily an indication of the expected response length.) Journal March 26, 2010 Resting Heart Rates of American Adults A normal resting heart rate for adults ranges from 60 to 100 beats a minute,” reports Dr. Edward Laskowski of the Mayo Clinic. Lower resting heart rates are generally associated with higher cardiovascular fitness. With the marked increase in obesity in America, there is rising concern that the average resting heart rate of American adults is trending towards the higher end of the accepted range. A recent study conducted by the Statistical Health Association of America validates this concern. Results were based on a sample of 1587 American adults (ages 18 and older). The mean resting heart rate......

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...STAT 121: Writing Assignment 1 Confidence Intervals To Buy this Class Copy & paste below link in your Brower http://homeworkregency.com/downloads/stat-121-writing-assignment-1-confidence-intervals/ Or Visit Our Website Visit : http://www.homeworkregency.com Email Us : homeworkregency@gmail.com STAT 121: Writing Assignment 1 Confidence Intervals STAT 121: Writing Assignment 1 Confidence Intervals (12 points) Directions: Read the following article and answer each question completely but concisely. Be sure to save a copy of your work, and see the syllabus for submission details. (The spacing between the questions is not necessarily an indication of the expected response length.) Journal March 26, 2010 Resting Heart Rates of American Adults A normal resting heart rate for adults ranges from 60 to 100 beats a minute,” reports Dr. Edward Laskowski of the Mayo Clinic. Lower resting heart rates are generally associated with higher cardiovascular fitness. With the marked increase in obesity in America, there is rising concern that the average resting heart rate of American adults is trending towards the higher end of the accepted range. A recent study conducted by the Statistical Health Association of America validates this concern. Results were based on a sample of 1587 American adults (ages 18 and older). The mean resting heart rate......

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...Confidence Intervals http://homeworkregency.com/downloads/stat-121-writing-assignment-1-confidence-intervals/ STAT 121: Writing Assignment 1 Confidence Intervals (12 points) Directions: Read the following article and answer each question completely but concisely. Be sure to save a copy of your work, and see the syllabus for submission details. (The spacing between the questions is not necessarily an indication of the expected response length.) Journal March 26, 2010 Resting Heart Rates of American Adults A normal resting heart rate for adults ranges from 60 to 100 beats a minute,” reports Dr. Edward Laskowski of the Mayo Clinic. Lower resting heart rates are generally associated with higher cardiovascular fitness. With the marked increase in obesity in America, there is rising concern that the average resting heart rate of American adults is trending towards the higher end of the accepted range. A recent study conducted by the Statistical Health Association of America validates this concern. Results were based on a sample of 1587 American adults (ages 18 and older). The mean resting heart rate from this sample was calculated at 87 beats per minute (bpm). The study concludes that, with 95% confidence, the true mean resting heart rate of American adults is in the interval (80, 94). 1. (1 point) What is the population that the confidence......

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...STAT 121: Writing Assignment 1 Confidence Intervals To Buy this Class Copy & paste below link in your Brower http://homeworkregency.com/downloads/stat-121-writing-assignment-1-confidence-intervals/ Or Visit Our Website Visit : http://www.homeworkregency.com Email Us : homeworkregency@gmail.com STAT 121: Writing Assignment 1 Confidence Intervals STAT 121: Writing Assignment 1 Confidence Intervals (12 points) Directions: Read the following article and answer each question completely but concisely. Be sure to save a copy of your work, and see the syllabus for submission details. (The spacing between the questions is not necessarily an indication of the expected response length.) Journal March 26, 2010 Resting Heart Rates of American Adults A normal resting heart rate for adults ranges from 60 to 100 beats a minute,” reports Dr. Edward Laskowski of the Mayo Clinic. Lower resting heart rates are generally associated with higher cardiovascular fitness. With the marked increase in obesity in America, there is rising concern that the average resting heart rate of American adults is trending towards the higher end of the accepted range. A recent study conducted by the Statistical Health Association of America validates this concern. Results were based on a sample of 1587 American adults (ages 18 and older). The mean resting heart rate......

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...minitab One-Sample Z: Income ($1000) Test of mu = 50 vs < 50 The assumed standard deviation = 14.55 95% Upper Variable N Mean StDev SE Mean Bound Z P Income ($1000) 50 43.48 14.55 2.06 46.86 -3.17 0.001 Interpretation of Results and Conclusion: Since the P-value (0.0001) is smaller than the significance level (0.05), we reject the null hypothesis. The p-value implies the probability of rejecting a true null hypothesis. The significance level of 0.05, there is enough evidence to support the claim that the average annual income was less than $50,000. Confidence Interval - minitab One-Sample Z The assumed standard deviation = 14.55 N Mean SE Mean 95% CI 50 43.48 2.06 (39.45, 47.51) The 95% upper confidence limit is 47.51. Since, 50.00 lies beyond the 95% upper confidence limit, we can support the claim that the average annual income was less than $50,000. b. The true population proportion of customers who live in an urban area exceeds 40% Null Hypothesis: The true population proportion of customers who live in an urban area is less than or equal to 40%. H₀: p < 0.40 Alternate Hypothesis: The true population proportion of customers who live in an urban area is greater than 40%. Ha: p > 0.40 Analysis Plan: Significance Level, α=0.05 and......

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