• The Standard Deviation which compares the dispersion shows that AA Fly (1.2478) is clustered more closely compared to TT Air (1.6602). • Since to the Standard Deviation for AA Fly is closer‚ the variance for AA Fly (1.557) as compared to TT Air (2.756) shows clearly the dispersion rate of both variables. In conclusion‚ this could mean that TT Air has maximized their usage of aircrafts and is more efficient than AA Fly. [Com: Good work on citing the numbers on mean and standard deviation/variance
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[assignment‚ quiz‚ paper‚ test]. 2 Pg 212 #14) A normal population has a mean of 12.2 and a standard deviation of 2.5. A) Compute the z value associated with 14.3. - z = (14.3 – 12.2)/2.5 z value is .84 B) What proportion of the population is between 12.2 and 14.3? - Looking for .84 on the curve ti would be .2995 C) What proportion is less
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Introduction to Basic Statistics Pat Hammett‚ Ph.D. 2005 Instructor Comments: This document contains an overview of basic probability and statistics. It also includes a practice test at the end of the document. Note: answers to the practice test questions are included in an appendix. 1 Pat Hammett University of Michigan Table of Contents 1. VARIABLES- QUALITATIVE AND QUANTITATIVE......................3 1.1 Qualitative Data (Categorical Variables or Attributes) .............
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Statistics – Lab Week 2 Name:Michael Jacks Math221 Statistical Concepts: * Using MINITAB * Graphics * Shapes of Distributions * Descriptive Statistics * Empirical Rule Data in MINITAB * MINITAB is a powerful‚ yet user-friendly‚ data analysis software package. You can launch MINITAB by finding the icon and double clicking on it. After a moment you will see two windows‚ the Session Window in the top half of the screen and the Worksheet or Data Window in the bottom
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of SST variability. Comparison between two strong El Niño and La Niña events of 1997-1998 and 1988-1989 were performed by using synoptic SSTA. We attempted to find out seasonal and monthly mean variation of SST and standard deviation‚ and monthly mean SSTA and their standard deviation. Statistical model was used to find out the best probability distribution function (PDF) for the selected study area. We therefore discussed the warmer or cooler trends of SST and proposed the PDF of SST as the best-fitted
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Budget surplus/deficit. There is a huge standard deviation in the data given for GDP. In both 2009 and 2010 the standard deviation was over four and a half times larger than the average of GDP itself. This will make it hard to create general assumptions for all countries to assess whether different factors correlate with each other. Even other factors such as GDP growth have relatively large standard deviations. GDP growth has a very large standard deviation. An example of ambiguous data can be seen
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8 – 23 MERRILL FINCH INC. RISK AND RETURN a. (1) Why is T-bill’s return independent of the state of the economy? Do T-bill’s promise a completely risk-free return? Explain (2) Why are High Tech’s returns expected to move with the economy‚ whereas‚ Collections’ are expected to move counter to the economy? 1. The 5.5% T-bill return does not depend on the state of the economy because the Treasury must redeem the bills at par regardless of the state of the economy; therefore‚ T-bills are
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FINAL EXAM PBHE525 Complete the final exam offline during the final exam week. Once you have complete the exam‚ input your exam into the final exam shell in the exam folder on the course webpage. Good luck 1. 2. 3. 4. 5. 6. 7. 8. US Census statistics show that college graduates make more than $254‚000 more in their lifetime than non-college graduates. If you were to question the validity of this observation‚ what would be your basis for doing so? A. Definition of a college graduate
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wanted to ensure that the new coating would not reduce driving distances‚ and would be comparable to the current product. Section II: Relevant Statistical Results Statistic Current Model New Model Sample Mean 270.275 267.500 Standard Error 1.3840 1.5648 Standard Deviation 8.7530 9.8969 Sample Size 40 40 Confidence Level (95%) 2.62 3.14 Degrees of freedom 39 39 t = 1.33 Comparisons 1. A two tail hypothesis test was conducted based on the sample studies of 40 current and 40 new golf balls. The
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Case Study #1 1) In order to calculate the expected return‚ risk premium‚ and standard deviation of the portfolio invested partly in the market and partly in Pioneer‚ we first needed to devise a table with all of the known variables: Table 1 Pioneer Gypsum (X) Market (Y) Expected Return 11.0% 12.5% Standard Dev. 32% 16% Beta 0.65 N/A The calculation of the expected return‚ risk premium and the standard deviation of the portfolio are dependent upon the amount that John wants to invest. For
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