1. STAT10T 7.2.1-2 (Points: 5.0) Solve the problem. Find the critical value zα/2 that corresponds to a degree of confidence of 91%. a. 1.645 b. 1.75 c. 1.34 d. 1.70 2. STAT10T 7.2.3-2 (Points: 5.0) Solve the problem. The following confidence interval is obtained for a population proportion‚ p: 0.817 < p < 0.855 Use these confidence interval limits to find the point estimate‚ . a. 0.833 b. 0.817 c. 0.839 d. 0.836 3. STAT10T 7.2.4-3 (Points: 5
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laborers with Amed‚ the owner‚ supervising five different projects. Amed needs to start using sub-contractors for the large projects coming in so that he won’t get absorbed and stop growing so that each project can be supervised more efficiently. The company requires growing intelligently and organized so that the results are effective. Problem Statement Amed Lopez Construction will transition from a small projects-based company to a large projects-based company due to its high demand of work and opportunity
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evidence to infer that the population mean is not equal to 180. c t x s/ n 175 180 60 / 200 1.18‚ p-value = .2400. There is not enough evidence to infer that the population mean is not equal to 180. 269 d. As the s increases‚ the test statistic increases and the p-value increases. 12.12 H0 : H0 : = 50 50 a Rejection region: t t x s/ n 52 50 15 / 25 t / 2‚n 1 t .05‚24 1.711 or t t / 2‚n 1 t .05‚24 1.711 .67‚ p-value = .5113. There is not enough evidence
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There are several types of bad statistics that can be seen when looking at statistical data. According to the video “Don’t be fooled by bad statistics” (2010)‚ there are three basic types of bad data consisting of poorly collected data‚ leading questions‚ and misuse of center. Poorly collected data can produce misleading results. For example‚ when a publishing company conducted a phone survey of popular magazines but did so during business hours when stay at home moms were most likely to participate
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45.16 + 2.3263 * 10 = 99% of households spent less than $68.42 NORMINV (.99‚ 45.16) References Levine‚ D.‚ Stephan‚ D.‚ Krehbiel‚ T.‚ & Berenson‚ M. (2008) Statistics for managers using Microsoft Excel w/cd. (5th ed.). Upper Saddle River‚
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It is known that there are two data types that are utilized to evaluate and draw meaningful conclusions through statistics‚ population and sample data. These two data types are utilized to formulate end conclusions of data that is to be collected and data that is to be reviewed. The description of population data can best be explained‚ as the complete collection of all data that is to be queried/collected and reviewed. Sample data‚ a subset of population data‚ is the partial collection and review
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How to validate root causes in a lean sigma approach Silvia Pederzolli Milan‚ the 15th of april 2013 attivaRes Define Opportunities Measure Performance Analyze Opportunity Improve Performance Control Performance CCR’S Objective • • • • • Identify problem statement: what is wrong and why. Deviation from what is expected (targeted performance). How much/how often Effects on Customers. Find and validate the root causes that assure the elimination of “real” root causes.
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Dani Socher Statistics Project Mr. Seufer 1/15/2013 Shooting Guards and Field Goal Percentage In the NBA‚ games are won by shooting the ball well‚ which makes sense. The more times your team’s players get the ball in the hoop‚ the more points are scored. And the more points scored‚ the more games won. Obviously‚ it is a little more complicated than that in reality‚ given how important defense is. But field goal percentage should be a solid indicator of games won. Field goal percentage is as
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Case Project 1a) The histograms of page cost‚ circulation and median income are all skewed to the right because the majority of the data lies to the left of the mean and the tail on the right side is longer than that on the left side. b) There seems to be a strong logarithmic type of relationship between page cost and circulation and a slightly noticeable linear relationship between page cost and median income. As for the scatterplot between page cost and percent male‚ the points appear
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alternative hypothesis should state µ1 − µ2 > 0 ANSWER: c 2. A Type I error is committed when a. a true alternative hypothesis is not accepted b. a true null hypothesis is rejected c. the critical value is greater than the value of the test statistic d. sample data contradict the null hypothesis ANSWER: b In determining an interval estimate of a population mean when σ is unknown‚ we use a t distribution with a. n − 1 degrees of freedom 3. b. c. d. ANSWER: 4. n degrees of freedom n −
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