distributions, and its most important variations. * Week 4 – Confidence intervals and sample size determinations, and their most important variations. * Week 5 – Hypothesis testing: includes the 5-step hypothesis testing procedure, applied to means and proportions, and its most important variations. * Week 6 – Simple linear regression: includes interpreting Minitab output for point estimates, hypothesis tests, and confidence intervals. * Week 7 – Multiple regression: includes the same
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Math 221 **** Example Format **** Week 6 Lab Submitted by: (Insert Name) Part 1. Normal Distributions and Birth Weights in America 1(a) 37 to 39 weeks as mean is around 7.33 lb. 1(b) 40 weeks as mean is around 7.72 lb. 1(c) 28 to 31 weeks as mean is 4.07 lb. 2(a) 99.88%, Excel command used was NORMDIST(5.5,1.88,1.19,TRUE). 2(b) 43.83% 2(c) 4.66% 2(d) 2.75% 3(a) Above 8.7269, Excel command used was NORMINV(0.9,7
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beaches beautiful and our community strong. The confidence interval (also called margin of error) is the plus-or-minus figure usually reported in newspaper or television opinion poll results. For example, if you use a confidence interval of 4 and 47% percent of your sample picks an answer you can be "sure" that if you had asked the question of the entire relevant population between 43% (47-4) and 51% (47+4) would have picked that answer. The confidence level tells you how sure you can be. It is expressed
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has dropped below the past noted 25%. To do this, we will find the confidence interval, as well as test to see if the 25% is reasonable. With 100 ingots, we have determined that with 90% confidence, between 17.8% and 32.1% will have cracks. This is in line with the company’s estimate of 25%, and after testing, it is determined that this hypothesis will not be rejected. With 1000 ingots, we have determined that with 90% confidence, between 22.7% and 27.2% will have cracks. This is also in line with
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M&Ms® Project Report Rachel Carr Professor Patty Fuller MAT 300- Statistics June 8, 2013 Abstract This paper is about the color proportion of each bag of M&Ms®. Now even though the factory has a claim of the each bag being grouped off into a certain percentage of each color, the results are not always the same. In fact, I will show through random selection process that M&Ms® brand candies each have a different number of candies in the bag and from that a different percentage
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ESSAY CASE: ‘Ponzi schemes’ ‘Ponzi schemes’ are scams in which investors are promised exaggerated profits (often short-term) from supposedly can’t-miss investments. If and when early investors are paid returns, the money doesn’t come from actual investment gains; it comes from new cash pouring in from later investors. Initially the promoter will pay out high returns to attract more investors, and to lure current investors into putting in additional money. Other investors begin to participate
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data so it cannot be used in bootstrapping. 2. The following bootstrap output is for mileage of a random sample of 25 mustang cars. Based on a 90% confidence interval, which of the following would not be a plausible value of the population mean, µ? Explain why it wouldn’t be. a) 60.01 b) 80.01 c) 55 d) 52 Based on the 90% confidence interval, the values are between 5th percentile and 95th percentile, which are between 52.096 and 80.012 3. Which of the following p-values would provide
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7a) Width of the confidence interval=0.8349-0.6651=0.1698 (2x1.96)((0.75)(1-0.75)/n)^1/2=0.1698 n=100 7b) (2z) )((0.75)(1-0.75)/100)^1/2=0.1299 Z=1.499955 P(z<1.50)=0.9332 So the new confidence level is 93.32% 8a) Yes, the manufacturer should assume that the average would be 21714 miles driven. It is because the sample mean(21714miles) is usually equal to the population mean. Sample mean is the unbiased estimator of the population mean
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CATCH ME IF YOU CAN SEC 1 of NIL states the requirements of an instrument to be negotiable. SEC 185 of NIL defined a check that is a bill of exchange drawn on a bank payable on demand. Frank Abagnale Jr. uses forges payroll checks from PanAm Airlines. Cashier’s check means that it is drawn by the cashier of a bank upon the bank itself, payable on demand to the payee and it is accepted practice in the business sector that a cashier’s check is deemed as cash. Frank uses this kind of check in order
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14.8 | 9 | 14.8 | 19 | 15.8 | 29 | 14.8 | 10 | 15.2 | 20 | 14.5 | 30 | 14.6 | Write a two to three (2-3) page report in which you: 1. Calculate the mean, median, and standard deviation for ounces in the bottles. 2. Construct a 95% Confidence Interval for the ounces in the bottles. 3. Conduct a hypothesis test to verify if the claim that a bottle contains less than sixteen (16) ounces is supported. Clearly state the logic of your test, the calculations, and the conclusion of your
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