You want to use a random graph G(N, p) with N = 10³ to best approximate a Poisson random graph with average degree (k)use?Select one:O a. p = 0.5O b. p = 0.002O c. p= 0.0002O d. p = 2=2. Which p would you prefer to

Given: Random graph, ; Average degree, <k> = 2To find: The preferred value of

Answered: You want to use a random graph G(N, p)…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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The number of hours in a month a sample of 12 people chosen at random from a normal population work is as follows: 55,55,54,56,56,58,60,62,61,59,59,60. Can we conclude that the mean of the sample differs significantly from the assumed population average of 56 hours? Given that t11,0.05  2.201.
pls answer C
A class of 40 students, aged 12, was measured for weight and height. The results are included in the JMP output below, along with the linear regression output. O JMP Applet mp Response weight Ibs Whole Model Regression Plot 180 180- 140- 120 100 80 00 height inches Parameter Estimates Term Estimate Std Error Intercept -127.1452 37.52372 height inches 3.7113549 0.508550 Prediction Profiler 180.000 weight Ibs 105.000- 00.000- height inches Click here to access the JMP applet in a new window. 90 III 000 09
PART I. SAMPLING DISTRIBUTION OF THE MEAN Assume you have a population which has been measured on a scale of career ambition with u = 150 and o = 40. Assume that the ambition scores are normally distributed in the population. Assume that you have drawn a sample of 100 individuals from the population and have recorded the mean in this sample. Then you have replaced the individuals in the population and have drawn another sample of size 100. You keep doing this repeatedly until you have a list of the sample means in a huge number of samples from this population. Now you make a plot of the means of all the samples (i.e., you form a distribution of the sample means). 1. What is this distribution called? 2. What is the numerical value of the mean of the distribution you have created? 3. In general, how does the mean of the distribution you have created relate to the population mean? 4. What will be the shape of the distribution of means? Explain your answer. 5. Now suppose you calculate the…
The Grocery Manufacturers of America reported that 66.00% of consumers read the ingredients listed on a product's label. Assume the population proportion is p = 0.66 and a sample of 450 consumers is selected from the population. a. Show the sampling distribution of the sample proportion, where is the proportion of the sampled consumers who read the ingredients listed on a product's label. E(p) = (to 2 decimals) op= (to 4 decimals) b. What is the probability that the sample proportion will be within ±0.03 of the population proportion (to 4 decimals)? c. Answer part (b) for a sample of 660 (to 4 decimals).
Make sure to add hypothesis as well as graph
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You want to use a random graph G(N, p) with N = 10³ to best approximate a Poisson random graph with average degree (k)= 2. Which p would you prefer to use? Select one: O a. p=0.5 O b. O c. p=0.002 p = 0.0002 O d. p=2