random will be between 19 and 31 is about 0.95. This area (probability) is shown fir the X values and for the z values. σ = 3 0.95 σ = 1 0.95 X 19 25 31 -2 0 +2 Normal curve showing Standard normal curve showing area between 19 and 31 area between -2 and +2 Entry to a certain University is determined by a national test. The scores on this test are normally distributed with a mean of 500 and a standard deviation of 100
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NORMAL DISTRIBUTION 1. Find the distribution: a. b. c. d. e. f. following probabilities‚ the random variable Z has standard normal P (0< Z < 1.43) P (0.11 < Z < 1.98) P (-0.39 < Z < 1.22) P (Z < 0.92) P (Z > -1.78) P (Z < -2.08) 2. Determine the areas under the standard normal curve between –z and +z: ♦ z = 0.5 ♦ z = 2.0 Find the two values of z in standard normal distribution so that: P(-z < Z < +z) = 0.84 3. At a university‚ the average height of 500 students of a course is 1.70 m; the standard
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Australia’s unique flora and fauna Australia has over 1 million different native species. Australia’s unique variety of plants and wildlife has evolved as a result of our countries unique conditions. This is a result of Australia’s geographical isolation. From deserts to rainforests‚ mountains and plains; this environment has created unique animals suited to their environments. As a result: * Australia has 10% of the world’s biodiversity. * Out of 20‚000 species of vascular plants 4 in 5
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Final Exam Review Questions Solutions Guide You will probably want to PRINT THIS so you can carefully check your answers. Be sure to ask your instructor if you have questions about any of the solutions given below. 1. Explain the difference between a population and a sample. In which of these is it important to distinguish between the two in order to use the correct formula? mean; median; mode; range; quartiles; variance; standard deviation. Solution: A sample is a subset of a population. A population
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What is Normal? Lorber’s Believing is Seeing: Biology as Ideology In her article Believing is Seeing‚ Judith Lorber writes of the very fine line between gender and sex. She argues that neither sex nor gender is a pure category of classification. They are more so just a combination of the two of them in the social construction of gender statuses. Her article uses sports and technological competence to show how society transforms physiological differences into gendered social bodies. Lorber’s perspective
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Table Z: Areas under the standard normal curve (negative Z) Second decimal place in z 0.06 0.05 0.04 0.03 0.09 0.08 0.07 0.02 0.01 0.0001 0.0001 0.0002 0.0002 0.00 * 0.0000 0.0001 0.0001 0.0002 0.0002 z -3.9 -3.8 -3.7 -3.6 -3.5 0.0001 0.0001 0.0001 0.0002 0.0001 0.0001 0.0001 0.0002 0.0001 0.0001 0.0001 0.0002 0.0001 0.0001 0.0001 0.0002 0.0001 0.0001 0.0001 0.0002 0.0001 0.0001 0.0001 0.0002 0.0001 0.0001 0.0001 0
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Normal Distribution Normal distribution is a statistics‚ which have been widely applied of all mathematical concepts‚ among large number of statisticians. Abraham de Moivre‚ an 18th century statistician and consultant to gamblers‚ noticed that as the number of events (N) increased‚ the distribution approached‚ forming a very smooth curve. He insisted that a new discovery of a mathematical expression for this curve could lead to an easier way to find solutions to
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Confirming Pages C H A P T E R 6 The Normal Distribution Objectives Outline After completing this chapter‚ you should be able to 1 2 3 Identify distributions as symmetric or skewed. 4 Find probabilities for a normally distributed variable by transforming it into a standard normal variable. Introduction 6–1 Normal Distributions Identify the properties of a normal distribution. Find the area under the standard normal distribution‚ given various z values.
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In Flora Tristan’s journal published in 1842‚ it is very evident that these lack of commodities is what caused the workers to become distraught. Such lack of necessary things made the workers not motivated to work. The quality and progress of production decreased
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SECTION 2: TIME VALUE OF MONEY Decision problems in business usually involve a decision over whether to accept one alternative over another‚ or whether to implement a plan or not. In most cases‚ the effects of these decisions are felt in the future. Examples: Expand into a new market (geographical‚ consumer segment‚ etc.) or not? Now or later? Outsource production or keep it in-house? Grow organically or acquire a competitor? Or don’t grow at all? Purchase shares in Microsoft
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