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and in the decimal system. How many digits are there in these two numbers all together? C.1379. Alex and Burt took their rabbits to a whole salesman to sell them to him at once. Each of them got as many dollars for each of their rabbits as many as the rabbits they each took to him. But, because their rabbits were so beautiful, they each got as many extra dollars for their rabbits from the salesman as many as the rabbits they each sold him. This way Alex received \$202 more than Burt. How many rabbits did they each sell to the salesman? C.1380. How many {a, b, c} sets are there containing three positive whole elements, where the product of a, b, and c is 2310? C.1381. Let a, b, c, and d be different digits. Find their values so that the following sum has the least possible number of divisors, but the sum itself is the greatest possible. C.1382. Fill in a 25×25 grid by using the numbers +1 and -1. Create the products of the 25 numbers in each column and in each row. Could the sum of these 50 numbers be: a) 0 b) 10 c) 17? C.1383. Is there such a triangle in which the heights are 1, 2, and 3 units long? C.1384. You put a plain on each side of a regular, square-based pyramid. How many sections do these 5 planes divide the space?
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e idea of “least squares” in regression (you need to fully read pp. 200-208 to understand). 3) What does it mean if b = 0? 4) What does it mean when r-squared is 0? What does it mean when r-squared is 1? 5) What is the difference in an unstandardized regression coefficient and the standardized regression coefficient? 6) If a report says test performance was predicted by number of cups of coffee (b = .94), what does the .94 mean? Interpret this. (For every one unit increase in ___,There is an increase in ___ ) 7) If F (2,344) = 340.2, p < .001, then what is this saying in general about the regression model? (see p. 217) 8) Why should you be cautious in using unstandardized beta? (p. 218) 9) (Ch. 8) Explain partial correlation in your own words. In your explanation, explain how it is different from zero-order correlation (aka Pearson r). 10) (Ch. 9) What is the F statistic used to determine in multiple regression? 11) What is F when the null hypothesis is true? 12) In Table 9.4, which variable(s) are statistically significant predictors? 13) In Table 9.4, explain what it means if health motivation has b = .36 in terms of predicting number of exercise sessions per week. 14) What is the benefit of interpreting standardized beta weights? (see p. 264). 15) What happens if your predictor variables are too closely correlated? 16) Reflect on your learning. What has been the most difficult? How did you get through it? What concepts are still fuzzy to you? Is there anything you could share with me that would help me address how you learn best?
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s him about the same time to assemble. He figures he has time to make at most 18 pieces of furniture by this Saturday. The materials for each bookcase cost him \$20.00 and the materials for each TV stand cost him \$40.00. He has \$600.00 to spend on materials. Andrew makes a profit of \$60.00 on each bookcase and a profit of \$100.00 for each TV stand. Find how many of each piece of furniture Andrew should make so that he maximizes his profit. Using the information in the problem, write the constraints. Let x represent number of bookcases, and y represent number of TV stands.
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vice. The company has four stores located at malls and is planning on expanding to other locations. Each store has a manager, a technician, and between one and four sales reps. The owners want to create a personnel records database, and they asked you to review a table that they had designed. They suggested fields for Store Number, location, store telephone, manager name, and manager home telephone. They also want fields for technician name and technician home telephone and fields for up to four sales rep names and sales rep home telephones. Draw an Entity Relationship Diagram modeling their suggested design. Analyze their original design using the normalization concepts you learned in Module 9. For this part of the question, make sure you begin with the original table in an unnormalized form as requested by the company. Work your way through 1st, 2nd, and 3rd normal forms. At each point, be sure you use the standard notation format to show the changes in the structure of your table(s) (Module 9; 9.6.1). During your analysis, be sure to explicitly illustrate/write about the reason behind the design decisions you make. Additionally, each normal form should have it's own section/heading. Draw a final ERD showing your final analysis showing the relationship among the entities you identified during normalization
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rvice. The company has four stores located at malls and is planning on expanding to other locations. Each store has a manager, a technician, and between one and four sales reps. The owners want to create a personnel records database, and they asked you to review a table that they had designed. They suggested fields for Store Number, location, store telephone, manager name, and manager home telephone. They also want fields for technician name and technician home telephone and fields for up to four sales rep names and sales rep home telephones. a. Draw an Entity Relationship Diagram modeling their suggested design. b. Analyze their original design using the normalization concepts you learned in Module 9. For this part of the question, make sure you begin with the original table in an unnormalized form as requested by the company. Work your way through 1st, 2nd, and 3rd normal forms. At each point, be sure you use the standard notation format to show the changes in the structure of your table(s) (Module 9; 9.6.1). During your analysis, be sure to explicitly illustrate/write about the reason behind the design decisions you make. Additionally, each normal form should have it's own section/heading. c. Draw a final ERD showing your final analysis showing the relationship among the entities you identified during normalization
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division. The ^ means rised to the power.
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ution, regression, decision trees Past paper has 5 questions (attached), we will have 4. Complexity of questions will be reduced slightly for decision trees and regression. Visualisation question – written in word file or hand-written and scanned or photographed. Normal distribution: Sketch using online normal distribution visualisation applet (add notes around this to discuss if necessary) or sketch by hand and scan or photograph. For mathematical workings, use formulae sheet, copy, paste and adapt, or scan / photograph your workings and upload. Decision tree – use Office smart shapes, or sketch by hand and scan or photograph. If formulae are required, then use formula sheet, copy, paste and adapt. Regression – written in word file or hand-written and scanned or photographed. MCDA – written in word file or hand-written and scanned or photographed. Remember if they appear, decision trees and regression will be a little less technical than they have been in the past. (To allow more of a buffer with regards to time available to complete and upload). Visualisation and MCDA questions will be more general (strengths and weaknesses, key messages, make some recommendations). Exam questions will be set so as to minimise practical and logistical difficulties in uploading answers.
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1.AU MAT 120 Systems of Linear Equations and Inequalities Discussion

mathematicsalgebra Physics