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This document outlines an assignment to analyze two confidential datasets and simulate additional data with similar characteristics. Students are told the first dataset follows a Poisson process but their analysis shows otherwise. The second dataset is related to the first in some binomial fashion. Students must determine the true distributions of the datasets, show their relationship, and use this to simulate new matching data. Their friend provides some helpful hints, like considering waiting times and plotting the relationship between the two datasets.
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1
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Table of Contents
General Instructions 3
Assignment: Defining Variables, Entering Data, Running Descriptives and Checking the Data 4
Assignment: Working with Variables, Z Scores, Population and Interpreting Output 5
Assignment: Computing and Recoding, Checking for Normality and Managing Data 6
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BUSI 820, Quantitative Research Methods
Assignment Instructions
30 August 2018
Page 10 of 11
General Instructions
For each Assignment:
1. Attach your word document for review and grading. Other file formats are not accepted andwill not be graded. Use the following filename format: LastName_BUSI820_AssignmentX.docx
2. Include an APA title block with your name, class title, date, and the assignment number.
3. Include a table of contents and a reference section. Number your pages in the footer alongwith the date. Include a header starting on page 2 with the Course and assignment number.
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Note:
The graphically depicted solution is not included in the required page length but must be included in the design document appendix.
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Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment p.
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Title: Enhance The Technique For Searching Dimension Incomplete Databases
Author: Mr. Amol Patil, Prof. Saba Siraj, Miss. Ashwini Sagade
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
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1 P a g e ME 350 Project 2 Posted February 26.docx
1 | P a g e
ME 350 Project 2
Posted February 26, 2019, Due March 5 2019
Higher level tools for roots of f(x) = 0 problems
Q. 1. The velocity of a falling parachutist is given by the following formula:
1
Where g=9.81 m/s2, the drag coefficient c=13.5 kg/s.
Compute the mass (m) of the parachutist so that v = 40.7 m/s when t = 12.8 s
Hint. This is an f(x) = 0 type problem, with corresponding variables v(m) = 0
(a) Rearrange the terms and write a simple m-file, then use this file to use a
regular plot command to locate the approximate root. Submit the m-file and
the corresponding plot. Here you will need to experiment with a range of
values of ‘m’ .
(b) Modify the m-file from (a) into a function file that can be used with the
fzero function to compute a refined root. Submit your function and the
solution it displays in the MATLAB command window.
Q.2. Consider the square cross section beam anchored on one end and supporting a
500 lb weight. Other details are shown in figure below. Ref. Musto ch. 6. This
exercise will help you review methods for solving f(x) = 0 problems.
According to strength of materials principles, the maximum bending stress
experienced by the cantilever beam shown above is:
2 | P a g e
σ = 335,000/x3 + 92,600/x (1)
This reflects the suspended weight, the specific weight (weight per unit length),
and the length of the beam. From materials science, the maximum allowable stress
(i.e. limiting stress before the onset of yielding) for the beam material is 17,750
psi. We now need to determine the minimum dimension ‘x’ in inches that will satisfy
this stress constraint. Solve this problem using four different techniques as
itemized below.
Hint: The solution approaches involve solving a problem of the form: f(x) = 0
a) Rewrite equation 1 in polynomial form in descending coefficients of the
powers of x then use the built-in MATLAB function roots to compute the
representative solution.
b) Rewrite equation 1 into a MATLAB function file (beam2b.m) which can be
used by MATLAB’s fzero function. Use the fzero function to compute the
solution for this problem, using an initial guess of 43.
c) Rationalize the denominators of beam2b.m to generate a more standard
polynomial form and name it beam2c.m . Use fplot to generate a plot of
the function in the range -5≤x≤15; insert grid lines to spot the
approximate location of the real root. Use the fzero function to compute
the solution for this problem using and initial guess of -125. Submit the
function file, the plot and the solution computed using fzero.
d) Refer to the plot from (c). Use the bisectrr function to compute a root for
this function in the interval -5≤x≤5.
i. Comment on the outcome of the attempt in (d).
ii. Select an alternative range that would yield the root for this
function. What is the solution?
3 | P a g e
Q.3. In designing a spherical tank whose schematic i.
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BUSI 820Quantitative Researc
BUSI 820
Quantitative Research Methods Assignment Instructions
Liberty University School of Business 30 Aug 2018
Table of Contents
General Instructions 3
Assignment: Defining Variables, Entering Data, Running Descriptives and Checking the Data 4
Assignment: Working with Variables, Z Scores, Population and Interpreting Output 5
Assignment: Computing and Recoding, Checking for Normality and Managing Data 6
Assignment: Assessing Reliability with Nominal Data, Exploratory Factor Analysis and Cronbach’s Alpha 7
Assignment: Analyzing Chi-Square, Phi (Or Cramer’s V) and Writing Research Questions 8
Assignment: Examining Bivariate Pearson, Spearman Correlations and Linear Regression 9
Assignment: One Sample and Paired Sample t-Tests, and Group Comparison 10
Assignment: One-Way ANOVA and Nonparametric Kruskal-Wallis Test 11
BUSI 820, Quantitative Research Methods
Assignment Instructions
30 August 2018
Page 10 of 11
General Instructions
For each Assignment:
1. Attach your word document for review and grading. Other file formats are not accepted andwill not be graded. Use the following filename format: LastName_BUSI820_AssignmentX.docx
2. Include an APA title block with your name, class title, date, and the assignment number.
3. Include a table of contents and a reference section. Number your pages in the footer alongwith the date. Include a header starting on page 2 with the Course and assignment number.
4. Write the problem number and the problem title as a level one heading (Example ‐ A.1.1: Chapter 2, Problem 2.1, Check the Completed Questionnaires) and then provide yourresponse.
5. Use level two headings with short titles for multi part questions (Example ‐ A1.1.a, Short Title, A1.1.b, Short Title II, etc.)
6. Use appropriate level headings for key elements of your discussion such as Research Questions, Hypotheses, Descriptive Statistics, Assumptions & Conditions, Interpretation, Results, and others. Your goal is to make your analysis easy to follow and logical.
7. Ensure that all tables and graphs are legible and include a figure number.
8. Carefully review your document prior to submission for formatting, flow, and readability. Keep in mind that running the statistical tests is only the first half of the challenge; you must be able to clearly communicate your findings to the reader!
Assignment: Defining Variables, Entering Data, Running Descriptives and Checking the Data
A1.1: Chapter 2, Problem 2.1, Check the Completed Questionnaires. Write a short narrative of your process, and an interpretation of your findings.
A1.2: Chapter 2, Problem 2.2, Define and Label the Variables. Write a short narrative of your process, and an interpretation of your findings. Include a screen shot of your Completed Variable View.
A1.3: Chapter 2, Problem 2.3, Display your Dictionary or Codebook. Write a short narrative of your process. Include a screen shot of your Codebook.
A1.3: Chapter 2, Problem 2.4, Enter Data. Write a short narrative of your pro ...
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Project Deliverable 3 Database and Programming DesignThis ass.docx
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This assignment consists of two (2) sections: a design document and a revised Gantt chart or project plan.
You must submit both sections as separate files for the completion of this assignment.
Label each file name according to the section of the assignment for which it is written. Additionally, you may create and / or assume all necessary assumptions needed for the completion of this assignment.
One (1) of the main functions of any business is to transform data into information. The use of relational databases has gained recognition as a standard for organizations and business transactions. A quality database design makes the flow of data seamless. The database schema is the foundation of the relational database. The schema defines the tables, fields, relationships, views, indexes, and other elements. The schema should be created by envisioning the business, processes, and workflow of the company.
Section 1: Design Document
1. Write a five to ten (5-10) page design document in which you:
a. Create a database schema that supports the company’s business and processes.
b. Explain and support the database schema with relevant arguments that support the rationale for the structure.
Note:
The minimum requirement for the schema should entail the tables, fields, relationships, views, and indexes.
c. Create database tables with appropriate field-naming conventions. Then, identify primary keys and foreign keys, and explain how referential integrity will be achieved.
d. Normalize the database tables to third normal form (3NF).
e. Create an Entity-Relationship (E-R) Diagram through the use of graphical tools in Microsoft Visio or an open source alternative such as Dia.
Note:
The graphically depicted solution is not included in the required page length but must be included in the design document appendix.
f. Explain your rationale behind the design of your E-R Diagram.
g. Create a Data Flow Diagram (DFD) through the use of graphical tools in Microsoft Visio or an open source alternative such as Dia.
Note:
The graphically depicted solution is not included in the required page length but must be included in the design document appendix.
h. Explain your rationale behind the design of your DFD.
i. Create at least two (2) sample queries that will support the organizational reporting needs.
j. Create at least two (2) screen layouts that illustrate the interface that organizational users will utilize.
Your assignment must follow these formatting requirements:
Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions.
Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment p.
ICDE 2015 - LDV: Light-weight Database Virtualization
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Title: Enhance The Technique For Searching Dimension Incomplete Databases
Author: Mr. Amol Patil, Prof. Saba Siraj, Miss. Ashwini Sagade
ISSN 2350-1022
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Instructions 1. Using annual data on GDP from the U.S. Cens.docx
Instructions:
1. Using annual data on GDP from the U.S. Census Bureau complete the following:
a. Use a simple trend projection and discuss the meaning of the estimated coefficient for the trend variable.
b. Assume that you only have data up through 1999 and conduct a 3-period moving average for GDP through 2007. Find the in-sample and out of sample MAE, MAPE, and RMSE using the forecast errors.
c. Conduct a simple exponential smoothing model using α = 0.3 and α = 0.7 using the GDP data set. Again assume that we only have data through 1999.
annual data on GDP from the U.S. Census Bureau
DATE
GDP
1980-01-01
2789.5
1981-01-01
3128.4
1982-01-01
3255.0
1983-01-01
3536.7
1984-01-01
3933.2
1985-01-01
4220.3
1986-01-01
4462.8
1987-01-01
4739.5
1988-01-01
5103.8
1989-01-01
5484.4
1990-01-01
5803.1
1991-01-01
5995.9
1992-01-01
6337.7
1993-01-01
6657.4
1994-01-01
7072.2
1995-01-01
7397.7
1996-01-01
7816.9
1997-01-01
8304.3
1998-01-01
8747.0
1999-01-01
9268.4
2000-01-01
9817.0
2001-01-01
10128.0
2002-01-01
10469.6
2003-01-01
10960.8
2004-01-01
11685.9
2005-01-01
12433.9
2006-01-01
13194.7
2007-01-01
13843.8
2. Complete the Forecasting for Tracway for mowers using the Tracway data. For this exercise, forecast industry sales as well as market share. Compare the moving average (3 month) method against Winter's method. Since we are forecasting mowers, think about which model you would expect to be more accurate.
After working through the problems, go to Lesson 9: Individual Exercises 9 and answer the associated multiple choice questions.
Forecasting for Tracway
An important input to planning manufacturing capacity is a good forecast of sales. In reviewing the Tracway database, Henry Hudson is interested in forecasting sales for mowers and tractors in each marketing region. Although Henry has obtained expert opinions on sales forecasting using the Delphi process, he would like to generate time series forecasts for the next year for each product by region. Henry plans to then compare and incorporate the judgmental forecasts from the Delphi process to the quantitative forecasts developed via the Delphi process.
Tracway data.
See attached worksheet labeled (Tracway data)
Questions:
Using annual data on GDP from the U.S. Census Bureau answer questions 1-6.
1.
The trend analysis reveals
A) no evidence of any clear trend either upward or downward.
B) an upward trend.
C) an downward trend.
D) a positive but insignificant coefficient for the trend variable.
2.
According to the F-statistic we cannot reject the null hypothesis that R2 = 0 when using trend analysis.
A) True
B) False
3.
When conducting a 3-period moving average for GDP through 2007 the out of sample Mean Absolute Error (MAE) is found to be approximately
A) $682
B) $696
C) $1,043
D) none of the above
4.
The moving average analysis shows forecasts that consistently underestimate actual GDP.
A) True
B) False
5.
When using an exponential smoothing model .
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Assignment2
- 1. KME272 Engineering Mathematics 2B 2019 : Assignment 2 Due 5pm September 4th; worth 7.5%. Submit online only. You have been asked to look at these highly confidential data and have been told certain things about it: 1. Data 1 correspond to a Poisson Process 2. Data 2 correspond to a Binomial Process based on Data 1 values Your job for $15,000 is to: 1. Find how the Poisson Process gives you the data you saw 2. Find the relationship between Data1 and Data2 3. Simulate data that behave like the data provided This awful task is helped by your busy statistics friend, who having briefly glanced at the data, makes the following obser- vations: 1. It’s clearly not a Poisson process, but maybe there’s a Poisson process involved. 2. Start by showing it’s not Poisson. 3. Maybe it’s to do with waiting times. 4. Try fitting some distributions so they have the same mean and variance as those data. 5. You’ll need to use the inverse transform method to simulate from the data. 6. Data2 looks like its values are high when the Data1 values are high - what’s going on with that? Can you plot this relationship? 1
- 2. 2 Tasks 1. Why is it “clearly not” Poisson? (a) Calculate summary statistics for Data1 and use them to argue that the distribution is not a Poisson distribution. 2 (b) Use the method of moments to estimate what the parameter of a Poisson distribution would be to give you those values. 2 (c) Collate how many values there are in the range 0-4, 5-9, 10-14, etc. and plot the resulting histogram. 2 (d) Use the Chi-square test to determine whether the data fit a Poisson distribution. 2 2. Find a better distribution for Data1: (a) Show your reasoning for which distribution you choose, and remember, you may need to compare several distributions. 4 (b) Give all measures of fit you use, including at least the Chi-square measure of fit, calculated as you did in the question above. You are encouraged to use other measures also. 4 3. You have been told Data2 has some kind of binomial relationship with Data1 values: (a) Why is it binomial? Provide a justification of why these data fit a binomial distribution. 2 (b) Provide plot(s) to show that Data2 follows a binomial distribution as a function of the values of Data1. 2 4. Simulate data using a spreadsheet or R that have the same characteristics as given in Data2 (which will require you work out the relationship between Data2 and Data1). In particular, the simulated data should 5 (a) have approximately the same mean and variance as Data2; (b) have the same upper and lower limits as Data2. 5. Comment on the processes that might be going on. Think about what the assumptions are of the distribution you have found that you think fits the Data1 and Data2 the best. 5 Style Guide 1. Submit your report as a pdf, and attach all other working (e.g., spreadsheet, R scripts). 2. Write your report in clear English, with correct spelling and grammar. 3. Lay your report out logically and clearly so information is easy to find. 4. Give full working and provide clear, fully labelled plots for your answers in your report. 5. Use full sentences for all answers: instead of writing “mean: 5” write “The mean value was 5” or similar. Total marks: 30