SL Math Internal Assessment: Stellar Numbers 374603 Mr. T. Persaud Due Date: March 07‚ 2011 Part 1: Below is a series of triangle patterned sets of dots. The numbers of dots in each diagram are examples of triangular numbers. Let the variable ‘n’ represent the term number in the sequence. n=1 n=2 n=3 n=4 n=5 1 3 6
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436 Inland Center Drive San Bernardino‚ CA 92408 To Whom It May Concern: I have been a satisifed customer for the past 3 years. I’ve never been dissapointed with my purchased merchandise and service when I visit the retail store. I am writing this letter to express my great interest in the postion of becoming a Zumiez sales person. My parents have raised me as a determined individual that is willing to take any oppurtunites. Nothing has really been handed to me‚ but I’ve learned that with
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Continuity and Differentiability Extra questions: 1) If f(x) = is continuous at x = 0‚ find the value of a and b 2) A function f is defined as f(x) = for x 1 = - for x = 1. Show that f(x) is differentiable at x = 1 and find its value 3) Let f(x) = if x 2 = k‚ if x = 2. If f(x) is continuous for all x‚ then find the value of k. 4) Let f(x) be a function of x defined as f(x) = ‚ x 1
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Number Expanded form Exponential form Base and exponent 10000 10 × 10 × 10 × 10 104 base 10‚ exponent 4 base ‚ exponent 5 64 2 × 2 × 2 × 2 × 2 × 2 26 base 2‚ exponent 6 64 (–2) × (–2) × (–2) × (–2) × (–2) × (–2) (–2)6 base –2‚ exponent 6 –32 (–2) × (–2) × (–2) × (–2) × (–2) (–2)5 base –2‚ exponent 5 Example 1: Write the following in exponential form. a. Minus nine to the power of six b. One fourth to the power of five c. Three square to the power of five Solution:
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Tatenda Shumba Shane Johnson Per 4 Is algebra necessary? Algebra is important to learn. But it is not necessary. Life existed before algebra was invented and could still continue without it. There are many applications of Algebra in real life situations. It is important to learn the basics‚ especially when it comes to money and finance. Many adults use the basics but not anything beyond‚ like if you were to go around and ask what is the quadratic equation not most adults would get it
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Econometrics I Yarine Fawaz Exercises Econometrics: Set 1-Correction Computer exercises: 1) Use the data in SLEEP75.RAW from Biddle and Hamermesh (1990) to study whether there is a tradeoff between the time spent sleeping per week and the time spent in paid work. We could use either variable as the dependent variable. For concreteness‚ estimate the model sleep 0 1totwork u ‚ where sleep is minutes spent sleeping at night per week and totwrk is total minutes worked during the
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Name: Piyush Sonawane Student Id: 901-767-730 The Big-O-Notation in Data structures Introduction:- The Big-O-Notation is done to test the efficiency of one algorithm or many algorithms of same code and the time duration it takes to run and to execute in the given input size or it can be also be defined as how algorithm or similar algorithms are execute more quickly in its worst case scenario or outcome. Example: A programmer would want to execute his program
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Project In Mathematics Submitted by: Michelle Quitalig Section: IV-Gold Submitted to: Mrs. Diño Problem: 1. A satellite dish in storage has parabolic cross sections and is resting on its vertex.A point on the rim is 4 feet high and is 6 feet horizontally from the vertex. How high is a point which is 3 feet horizontally from the vertex? 2. Jack Pott dives off the high diving board. His distance from the surface of the water varies quadratically with the number
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How to Work with Dummy Independent Variables Chapter 8 is devoted to dummy (independent) variables. This How To answers common questions on working with and interpreting dummy variables. Questions: 1) How to include dummy variables in a regression? 2) How to interpret a coefficient on a dummy variable? 3) How to test hypotheses with dummy variables and interaction terms? 4) How to create a double-log functional form with dummy variables? 5) How to interpret a coefficient on
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ECON2206 Assignment 1 [pic] Question A [pic] in the equation above describes the relationship between price of the house and the size of the lot. The coefficient of “log(lotsize)” is the estimated elasticity of “price” with respect to “lotsize”. From this number‚ we learn that in this model‚ an additional square feet increase to the lotsize would increase the house price on average by[pic] %‚ assuming that the other independent variable in this model are held constant. Question B I would
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