Exam 1 Review BIO 130: Introduction to Environmental Science Unit 1 Be able to define an environmental factor. There are two types (condition and resource). What is the difference between a condition and a resource? Be able to categorize particular environmental factors as conditions OR resources (for example‚ temperature is a condition and not a resource). Be able to rank from smallest to largest: ecosystem‚ landscape‚ biome‚ biosphere Be able to rank from smallest to largest (in terms
Premium Evolution Ecology Species
************************* MIDTERM I ***************************** 1. Operations Management is attracting increasing attention due to the recent trends in the industrial world. Which of the following statements correctly represents this recent change? a. The percentage of the world’s output produced by the U.S. has been steadily increasing since 1960. b. Compared to the other industrial countries such as Italy and France‚ the U.S. has a higher rate of productivity growth since 1960
Premium Inventory Exponential smoothing Supply and demand
Study Guide for Final Exam The final will be cumulative‚ although much of the test will focus somewhat more heavily on the material covered since the last midterm. There will be some questions that have been taken directly from the two earlier midterms. You’ll almost certainly recognize these questions; if you’ve reviewed the earlier exams with me in class (or in person) & know the answers to most or all of the questions‚ you’ll breeze through them. Read each question carefully‚ though‚ as
Premium Petroleum Climate change Climate
encounters is the equation that models the change of a population as being proportional to the number of individuals in the population. In symbols‚ if P(t) represents the number of individuals in a population at time ‚ then the so called called exponential growth model is: Recall that the general solution of this differential equation is . Recall also that in order to get a particular solution‚ we must have some sort of experimental
Premium Population ecology Logistic function Population
percent error (MAPE) are shown. Correlation Bias MAD MSE MAPE Naïve -- 541.38 6865.52 69‚856‚200 .19 Moving Average (3 periods) -- 491.36 6‚138.27 59‚540‚560 .17 Weighted Moving Average (3 period; .6‚ .3‚ .1) -- 424.81 6‚501.58 61‚107‚180 .18 Exponential smoothing (alpha = 0.5) -- 794.28 5‚880.56 50‚755‚960 .16 Trend Analysis .54 0.00 4‚355.70 31‚285‚700 .12 Seasonal Additive Decomposition .97 0.00 1‚251.26 2‚386‚650 .03 It is obvious that the superior
Premium Season Moving average Forecasting
PROBLEM 4.1 A) (374 + 368 + 381) / 3 = 374.33 Pints B) Forecast: (381 x .1) = 38.1 (368 x .3) = 110.4 (374 x .6) = 224.4 38.1 + 110.4 + 224.4 = 372.9 Pints C) Week Of Pints Used Forecast with exponential smoothing applied 31st Aug 360 360.00 7th Sep 389 360.00 14th Sep 410 365.80 21st Sep 381 374.64 28th Sep 368 375.91 5th Oct 374 374.33 12th Oct 374.26 Forecast : 374.26 Pints PROBLEM 4.5 A) (3700 + 3800) / 2 = 3750 Miles
Premium Moving average 1982 Exponential smoothing
however‚ environmental regulations became more relaxed in spite of the mounting evidence for global climate change. 2. Explain the main point concerning exponential growth and whether it is good or bad. Compare exponential growth to a logistic growth curve and explain how these might apply to human population growth. What promotes exponential growth? What constrains population growth? The population growth is dependent and thus proportional to the birth rate‚ which is the main variable.
Premium Systems theory Environmentalism Population
College Algebra Year: 1st Year Topic: Functions Designer: Frago‚ Christine Joy S. Stage 1 – Desired Results Established Goals: This section aims to: 1. distinguish a function from a mere relation; and 2. find the domain and range of functions or relations Understandings: Students will understand… the definition of relation the definition of function the relationship between relation and function Essential Questions: Is the relation a function? How do you define a relation? What
Premium Function Cartesian coordinate system Derivative
Chapter 7 Problem Summary Problem Solutions 7.1 See file Ch7.1.xls a. Yes‚ a stationary model seems appropriate b. Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 20.16667 1.373732 14.6802 4.3E-08 17.1058 23.22753 17.1058 23.22753 Period -0.07692 0.186653 -0.41212 0.688949 -0.49281 0.338967 -0.49281 0.338967 From regression output‚ t = -.412 and p = .689. A stationary model seems appropriate since the linear term‚ Period
Premium Regression analysis Linear regression Moving average
Life-time examples: 1. In the Deliotte report‚ it is said 44% of respondents list business intelligence systems as enablers or disruptors that may threaten their business model‚ which makes it second most concerning technology threat. 2. One example of how business intelligence systems have been maximised is at women’s underwear manufacturer Maidenform. Their CIO Bob Russo said recently after implementing BI‚ “Providing targeted information at the right place and time is central to improving the
Premium Data warehouse Business intelligence Data mining