Question The MTU for IP packets on 100 Mbps Ethernet is typically set to 1500 bytes. A typical IPv4 header consists of 20 bytes, and a UDP header consists of 8 bytes. If we split up a file of 24,000,000 bytes so we can send it as a series of UDP payloads, how many bytes do we have to send at the network layer in order to transfer the entire file? Enter an integer number (no commas). Answer:

A text file named 'data.dat' is stored on a computer's hard drive. In a text editor the file displays: # Created on November 15, 2018 # Time, Temperature, Windspeed # (min), (deg F), (knots) 0, 33.47, 1.27 5, 32.59, 1.95 10, 33.62, 0.76 15, 33.79, 1.12 Write a program that reads the contents of this file, assigns the header lines to a variable that is a list A text file named 'data.dat' is stored on a computer's hard drive. In a text editor the file displays: # Created on November 15, 2018 # Time, Temperature, Windspeed # (min), (deg F), (knots) 0, 33.47, 1.27 5, 32.59, 1.95 10, 33.62, 0.76 15, 33.79, 1.12 Write a program that reads the contents of this file, assigns the header lines to a variable that is a list of strings, and assigns the data to a variable that is a floating point np.array that contains all of the data in the file. (The data should be in a 4 x 3 array.) Write this code using standard file I/O commands; do not use any csv reader that you may know of in some Python package.

You are a proctor for a Data Science exam, and just gave a test to 15 students. You want to get an idea for the true standard deviation of the scores, using the scores you just recieved. Assume that the underlying score population is normally distributed. scores = c(53.62, 69.2, 81.96, 40.62, 76.24, 99.78, 94.49, 71.6, 76.95, 37.68, 37.59, 59.22, 92.44, 81.22, 63.74) Part A) Using the data stored in the variable scores , calculate a 95% confidence interval for the standard deviation of the data. Your confidence interval should be two tailed, and cut off an equal proportion of area on each side. Save the lower value as p1.lower and the upper value as p1. upper . Round your answers to two decimal places. # your code here p1.upper = NA p1.lower = NA alpha = 0.05

It's Halloween, and Ralphie has 6 large bags, each filled with a combination of 4 different kinds of candy. Each bag should have an approximately equal amounts of each flavor. But, being a buffalo, Ralphie is not sure that she spread the candy out evenly. She has asked your help to determine whether the proportions of flavors within each bag is the same. Each bag contains hundreds of pieces of candy, so we can't count them all by hand. Instead, you take a sample of 50 pieces from each bag. The table below displays the counts of each type of candy within each sample of 50 pieces: Candy A Candy B Candy C Candy D Bag 1 14 18 11 6 Bag 2 10 20 12 9 Bag 3 13 14 15 8 Bag 4 15 15 10 10 Bag 5 11 17 13 9 Bag 6 11 14 14 11 Part B) Determine whether the proportions of candy are equal by solving for the p-value of the appropriate test. Save your answer as p2.b. Round your answer to three decimal places. # your code here p2.b = NA Part E) After some thinking, Ralphie has changed her mind and believes that the candies actually follow the below proportions: PA = 0.25 PB = 0.35 Pc = 0.25 PD = 0.25 At a significance level of a = 0.05, determine if your observed samples agree with Ralphie's newly proposed proportions. Save the p-value of your calculations as p2.e.pval. Round this answer to three decimal places. Into variable p2.e, save TRUE if your data does agree with the new proportions, or FALSE if it does not. # your code here p2.e = NA p2.e.pval = NA

It's Halloween, and Ralphie has 6 large bags, each filled with a combination of 4 different kinds of candy. Each bag should have an approximately equal amounts of each flavor. But, being a buffalo, Ralphie is not sure that she spread the candy out evenly. She has asked your help to determine whether the proportions of flavors within each bag is the same. Each bag contains hundreds of pieces of candy, so we can't count them all by hand. Instead, you take a sample of 50 pieces from each bag. The table below displays the counts of each type of candy within each sample of 50 pieces: Candy A Candy B Candy C Candy D Bag 1 14 18 11 6 Bag 2 10 20 12 9 13 14 15 8 Bag 3 Bag 4 15 15 10 10 Bag 5 11 17 13 9 Bag 6 11 14 14 11 Part B) Determine whether the proportions of candy are equal by solving for the p-value of the appropriate test. Save your answer as p2.b. Round your answer to three decimal places # your code here p2.b = NA Part E) After some thinking, Ralphie has changed her mind and believes that the candies actually follow the below proportions: PA = 0.25 PR = 0.35 Pc = 0.25 PD = 0.25 At a significance level of a = 0.05, determine if your observed samples agree with Ralphie's newly proposed proportions. Save the p-value of your calculations as p2.e.pval. Round this answer to three decimal places. Into variable p2.e, save TRUE if your data does agree with the new proportions, or FALSE if it does not. # your code here p2.e = NA p2.e.pval = NA

autosave#question49050485 -2 -1 1 Answer each of the following questions about Fx). You have one submission for each question (a) Does lim fx) exist? X3 Ores ONO (b) Is Fx) continuous at x = 3? Oyes ONO (C) is f(x) differentiable at x = 32 OYes ONO (d) Does lim fex) exist? Oves ONO (e) is f*) continuous at x = 12 Yes ONO () is fx) differentiable at x = 17 Answer each of the following questions about f(x). You have one submission for each question (a) Does lim F*) exist? x-1 Ores ONO (b) is Fx) continuous at x = 12 Ores ONO (C) IS F(x) differentiable at x = 12 OYes No (d) Does lim, x) exist? Yes ONO (e) is x) continuous at x = 27 The graph of y = f(x) is shown below. dep=27270333&tags-autosave question4905048_5 Answer each of the following questions about Rx). You have one submission for each question (a) Does lim Fix) exist? Yes No -0 (b) is x) continuous at x = 0? OYes No (c) Is f(x) differentiable at x = 07 OYes No 3 2 -2 -1 1 2 3 Answer each of the following questions about Fx). You have one submission for each question. (a) Does lim F(x) exist? Yes No (b) Does lim Fx) exist? x-1" Ores ONO (c) Does lim fx) exist? Ores ONO (d) Is x) continuous at x = 12 Yes No

Sweet Catering completed the following selected transactions during May 2016: Sweet Catering completed the following selected transactions during May 2016: • May 5: Received and paid electricity bill, $120 May 9: Received cash for meals served to customers, $3,190 • May 23: Served a banquet on account, $2,540 • May 31: Accrued salary expense, $750 • May 31: Recorded prepaid insurance expired, $170 If Sweet Catering had recorded transactions using the Cash method, how much net income (loss) would they have recorded for the month of May? If there is a loss, enter it with parentheses or a negative sign. If Sweet Catering had recorded transactions using the Accrual method, how much net income (loss) would they have recorded for the month of May? If there is a loss, enter it with parentheses or a negative sign.