Allie goes to bed at night fully intending to get up at 5 am and study hard beore oon. When the alarm goes off, she smacks it hard and goes straight back to sleep.
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Allie goes to bed at night fully intending to get up at 5 am and study hard beore oon. When the alarm goes off, she smacks it hard and goes straight back to sleep.
Which of the following terms describes this?
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Hyperbolic Discounting |
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Preferences over Profiles |
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Choosing Not to Choose |
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Rational Addiction |
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- Consider a linear spline with 50 knots. Which of the following statements is correct? The linear spline function is built up of 51 pieces that join together at points whose x-axis coordinates are given by the 50 knots. The linear spline function is built up of 51 pieces that join together at points whose y-axis coordinates are given by the 50 knots. The linear spline function is built up of 51 pieces that are all parallel to the x-axis. The linear spline function is built up of 50 pieces that are all parallel to the x-axis.(a) pull down options are: -1, 0, 1, c, infinity (b) pull down options are: intercept, limit, multiple, zero, factor (c) pull down options are: x, yQ4. Given the initial state, goal state, successor function and cost function for each of the following. Choose a formulation ( write down steps of the procedure) that is precise enough to be implemented You have to color a planner map consisting of 8 cities (draw a map of your own choice) using only four colors, in such a way that no adjacent regions have the same color.
- If the are.... Horizontal asympotote is y=2 Vertical asympotote is x=-1 x-intercept is (-1.5,0) y-intercept is (0,3) what is the domain, range, and behavior1) (i) If a data set has nturning points where n∈W, and you wish to modelthe data with a polynomial, what is the least possible degree of that polynomial?Explain.(ii) Consider the following data set: {(0,0),(1,−3),(2,0),(−1,3)}.Draw a scat-ter plot of this data set. Based only off the scatter plot, what degree polynomialwould you suggest?(iii) Show that each point in the relation for (ii) satisfies the equation y=x(x−2)(x+ 2).(iv) Show that there is no function y= ax2 + bx+ cwhich satisfies all 4 datapoints in (ii). In light of (iii) and (iv), reconsider your answer to (ii).Only the questions after "State the critical values for the rejection rule..." and after. So only questions in secound image. Thank you.
- Determine saddle points, all local minima and local maxima. Enter each point as an ordered triple, e.g., "(1,5,10)". If there's more than one point of a given type, write out a comma-separated list of ordered triples. If there are no points of a given type, say there is "none".(L1, F3, L6) partial. Graph of f(x) is shown. Answer the question based on the graph.We have to find the optimal relaxation factor how we have to do it (hint: you can use Matlab for help )
- Hybrids One of Mendel’s famous experiments with peas resulted in 580 offspring, and 152 of them were yellow peas. Mendel claimed that under the same conditions, 25% of offspring peas would be yellow. Assume that Mendel’s claim of 25% is true, and assume that a sample consists of 580 offspring peas. a. Use the range rule of thumb to identify the limits separating values that are significantly low and those that are significantly high. Based on the results, is the result of 152 yellow peas either significantly low or significantly high? b. Find the probability of exactly 152 yellow peas. c. Find the probability of 152 or more yellow peas. d. Which probability is relevant for determining whether 152 peas is significantly high: the probability from part (b) or part (c)? Based on the relevant probability, is the result of 152 yellow peas significantly high? e. What do the results suggest about Mendel’s claim of 25%?Teachers get courses assigned to teach each semester. For each instructor, there are the courses that the instructor can teach based on the skill set of the instructor, and there are courses that the teacher would rather teach all the time, closer to their specialization. To be able to teach in any department, a teacher must be able to teach more than the favorite courses. Let X denote the proportion of teachers who teach the whole spectrum of courses taught in a department, and Y the proportion of teachers who teach the courses they specialize in. Let X and Y have the joint density function : f(x,y)=2(x+y),0<y<x<1 (a) Given that 10% of the teachers teach the whole spectrum of courses, what is the probability that fewer than 5% teach their favorite courses? (b) What is the expected percentage of teachers teaching their favorite courses when the proportion of teaching the whole spectrum is 0.7?