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# Which number is a common multiple of and

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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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ooking at how likely a given email is to be spam based on the words it contains. In particular, in this problem we’re going to count how often words are present in spam emails within some set of training data (which here means a set of emails that have already been marked as spam or not spam manually). We have already started to write a function spam_score(spam_file, not_file, word), which takes in two filenames, along with a target word (a lowercase string). Both filenames refer to text files which must be in the same directory as hw07.py (we’ve provided several such files in hw07files.zip). The text files contain one email per line (really just the subject line to keep things simple) - you can assume that these emails will be a series of words separated by spaces with no punctuation. The first file contains emails that have been identified as spam, the second contains emails that have been identified as not spam. Since you haven’t learned File I/O yet, we’ve provided code that opens the two files and puts the data into two lists of strings (where each element is one line - that is, one email). You then must complete the function, so that it returns the spam score for the target word. The spam score is an integer representing the total number of times the target word occurs across all the spam emails, minus the total number of times the word occurs in not-spam emails. Convert all words to lowercase before counting, to ensure capitalization does not throw off the count.
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d for 1H NMR should be dilute. b. Samples for 13C NMR should be dilute, and for 1H NMR should be concentrated. c. Samples for 13C NMR and 1H NMR should both be concentrated. d. Samples for 13C NMR and 1H NMR should both be dilute. 3. What is the proper way to dispose of an NMR sample that had deuterated chloroform (CDCl3) as the solvent? a. Placement down the drain. b. Placement in the non-halogenated organic waste container. c. Placement in the halogenated organic waste container. d. Placement in the oven for evaporation. 4. Which feature of a 1H NMR spectrum can provide information about the number of inequivalent kinds of hydrogen in the structure? a. chemical shift b. coupling c. integration d. None of the above. 5. Which feature of a 1H NMR spectrum can provide information about the number of neighboring hydrogens that a given hydrogen in the structure has? a. chemical shift b. coupling c. integration d. None of the above. 6. Which feature of a 1H NMR spectrum can provide information about the number of hydrogens responsible for each signal? a. chemical shift b. coupling c. integration d. None of the above 7. An unknown has a specific rotation (i.e., a rotation unequal to 0°) as measured with a polarimeter. What is true about the unknown? a. The structure contains at least one chirality center. b. The structure contains no chirality centers. c. The structure has a plane of symmetry. d. None of the above. 8. True or False: Conjugation increases the wavenumber of absorption in the IR spectrum. True False 9. What group classification does a solid unknown most likely belong to if its melting point is greater than 250 °C? a. carboxylic acid b. amino acid c. amine d. acid derivative 10. True or False: If a liquid unknown freezes when placed in an ice-water bath for 10 minutes, the melting point of the unknown is between 0 °C and 25 °C. True False
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quid with a “sweet” smell. i. Using the ground state electron configuration and excited state electron configuration explain the hybridization of the central Carbon (C) atom. (7 Marks) ii. Identify the orbitals that overlap to form the C-Cl bond. Draw a diagram to show the orbital overlap. (3 Marks) iii. What is the bond angle of CCl4? (1 Mark) b) Consider a Fluorine atom (F) and a Fluorine anion (F-). Which of these two species would you expect to have a larger radius? Explain your answer. (5 Marks) c) Explain why the first ionization energy of Aluminum (Al) is less than that of Magnesium (Mg). (4 Marks) d) Assume the atom Oxygen(O) can form both cationic(O+) and anionic(O-) species. Place the following species in order of increasing first ionization energy, starting with the lowest. O+, O, O- (5 Marks) 4. a) Sea water contains roughly 28.0 g of NaCl per liter. (NaCl molar mass = 58.44 gmol-1). i. Calculate the number of moles of NaCl in a liter of sea water. (2 Marks) ii. Calculate the molarity of NaCl in sea water. (4 Marks) iii. Calculate the mass by volume percent (W/V) of NaCl in sea water. (4 Marks) Lowest first ionization energy ………………… ….. Intermediate ionization energy ………………… ….. Highest first ionization energy …………………
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of Sport-Equip Ltd, a company that sells sports equipment. Some of the users who visit the website end up buying sports equipment from the website while others are simply browsing in order to obtain product information. (a) Clearly explain and justify which probability distribution you would use to describe the number of Internet users who visit the website of Sport-Equip Ltd in a one hour period. [There is no need to calculate any probabilities for this part of the question] (5 marks) (b) What is the probability that during any half-hour period, there will be less than 3 visitors to the website? (5 marks) (c) What is the probability that during any two-hour period, there will be more than 15 visitors to the website? (5 marks) (d) If a user has just visited the website, find the probability that the website will have another visitor within the next 10 minutes. In your answer, state the probability distribution you have used and explain your choice. (4 marks) (e) It is estimated that 40% of Internet users who visit Sport-Equip Ltd’s website buy a product from the company. If 100 users visit the website over a given period of time, find the probability that more than 50 of them will buy a product from the company. In your answer, state the probability distribution you have used and explain your choice
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1.AU MAT 120 Systems of Linear Equations and Inequalities Discussion

mathematicsalgebra Physics