What is the standard deviation of narcissism scores in the ASPD group? Compare the means of each group. What can you say about the narcissism scores of the ASPD group compared to the no ASPD group?

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SPSS Homework: Variability Assignment Instructions

Overview

This assignment is designed to increase your statistical literacy and proficiency in summarizing, visualizing, and interpreting variability within data sets. You will work within SPSS, using data that are related to specific research scenarios in the behavioral sciences such as psychology, social work, and counseling. A working knowledge of how to summarize and visualize data is fundamental to being able to understand and apply research in your related field to your practice. Additionally, SPSS skills are professionally valuable, as it is one of the most used statistical software packages in behavioral science settings, both academic and professional.

Instructions

  • This assignment includes two problem sets that contain research scenarios and related questions.
  • For each scenario, you will respond to a series of questions asking you to create and interpret various tables and charts in SPSS. Paste your SPSS output directly into the homework underneath each relevant question. Type written answers into the document underneath the question to which they relate.
  • This assignment is worth 60 points.

Review the Watch: SPSS Homework Tutorial: Describing and Graphing Variability in this module for directions on how to enter data in SPSS and use it to produce the final product for your assignment. The scenarios begin on the next page.

Problem Set 1: A forensic psychologist wants to examine the level of narcissistic personality traits in those who are diagnosed with antisocial personality disorder (ASPD) and those who do not qualify for ASPD within a local prison population. She administers a measure of narcissistic personality traits where higher scores indicate higher levels of narcissism and scores range from 0–35. Name your variables in Variable View. Assign values to the “Diagnosis” variable as follows: 1 = ASPD; 2 = no ASPD.

Diagnosis Narcissism Score
1

1

1

1

1

1

1

1

1

1

2

2

2

2

2

2

2

2

2

2

 33

8

20

26

27

9

17

27

34

32

12

8

18

12

6

5

8

14

10

6

 

  1. Using the data in the table above, set up your data file in SPSS and create a table of Descriptive Statistics using the “Explore” function that shows descriptive statistics for ASPD and no ASPD diagnoses separately. Paste the table here: (8 pts)
  2. What is the standard deviation of narcissism scores in the ASPD group? (4 pts)
  3. Compare the means of each group (ASPD and no ASPD). What can you say about the narcissism scores of the ASPD group compared to the no ASPD group? (5 pts)
  4. Using the same data, create a boxplot in SPSS to show the difference in narcissism scores between the two diagnostic groups. Paste the boxplot here: (7 pts)
  5. Based on the boxplot and descriptive statistics, which group shows more variability in narcissism scores? Support your answer with knowledge from the presentations and/or reading from this week. (6 pts)

Problem Set 2: A school psychologist wants to examine the difference in the minutes that middle school students spend working on a difficult math problem depending on whether they have been primed with a statement reflecting a fixed mindset or one reflecting a growth mindset. She divides her students into two groups: one is primed with the statement that “Some people are just better at math” (fixed mindset), while the other group is primed with the statement that “People can improve in math with hard work” (growth mindset) She records the number of minutes each student works on the math problem in the table below. She assigns values to the Mindset Group variable as follows: 1 = Fixed; 2 = Growth.

 

Mindset Group (1 = Fixed; 2 = Growth) Minutes Spent on Difficult Math Problem
1

1

1

1

1

1

1

1

1

2

2

2

2

2

2

2

2

2

2

 2.5

1.2

1.9

2.0

0.6

1.4

3.7

0.9

0.7

2.1

3.8

1.8

1.3

2.4

4.6

3.5

1.7

1.4

6.6

 

  1. Using the data in the table above, set up a data file in SPSS and create a table of descriptive statistics using the “Explore” command for each “Mindset” group separately. Paste the table here: (8 pts)
  2. Compare the means of the two groups. Which group worked longer on average on the difficult math problem? (4 pts)
  3. Using the same data, create a paneled histogram showing the distribution of minutes spent working on the problem in each sample. Paste the histogram here: (7 pts)
  4. Based on the histogram and “Explore” table of descriptive statistics, are these distributions symmetrical or skewed? If skewed, what kind of skew is present? Support your answer with the appropriate data. (5 pts)
  5. Based on the data, what might the school psychologist conclude about the effect of mindset statements on students’ effort levels in solving difficult math problems? Answer in 2-3 complete sentences. (6 pts)

In your own words describe the Lipschitz condition? Give several examples of functions that satisfy this condition or give several examples of functions that do not satisfy this condition.

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Use your maths knowledge in 350 words

In your own words describe the Lipschitz condition?

Give several examples of functions that satisfy this condition or give several examples of functions that do not satisfy this condition. APA 7th edition, with 350 words

 

Analyze the asymptotic cases when k1 * L2/D <> 1: k1”L/D <> 1. What happens with the concentration profiles in these cases?

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Time dependatn diffusion

A film of thickness L is filled with a mixture of chemicals A and B. In this mixture, a first order chemical reaction with the reaction constant k1 can occur. During this reaction, chemicals A are consumed. The chemicals are continuously delivered from one side of the film x=0, so that the concentration at this surface is kept constant, n(0)=N. At another side, x=L, the film is covered with a catalyst that reacts with A at the surface with the reaction rate constant k1’’. At the very first moment no chemicals A were present in the film. a) Formulate the math model for this case for the time-dependent diffusion with these chemical reactions.

  1. b) Reformulate the problem in dimensionless form. List all dimensionless parameters that the concentration profile will depend on. (10 points) Solve the formulated problem for a steady state case and find the distribution of chemicals A in film
  2. c) Analyze the asymptotic cases when k1 * L2/D << 1, k1L^2/D >> 1: k1”L/D <<1, k1”L?D >> 1. What happens with the concentration profiles in these cases?
  3. d) A tube of length L is filled with a mixture of chemicals A and B. In this mixture, a second order chemical reaction with the reaction constant k2 can occur. During this reaction, chemicals A are consumed. Assuming that the chemicals are continuously delivered to the tube end x=0 so that the concentration at this end is kept constant, n(0)=N, and another end is sealed, find the distribution of chemicals in the tube. Plot the concentration profile in dimensionless form n(x/L)/N for three different ratios k2NL2/D =1/2, 1, 3/2

 

Three runners run 100 yards race. Sara runs the race in 9.25 seconds, Alex runs the race in 8.625 seconds, and Tonya runs the race in 9.8 seconds. Who has the winning time?

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Algebra

Three runners run 100 yards race. Sara runs the race in 9.25 seconds, Alex runs the race in 8.625 seconds, and Tonya runs the race in 9.8 seconds. Who has the winning time?

 

Define x and y. Which variable is useful for making predictions? Is there an association between x and y? Describe the association you see in the scatter plot. What do you see as the shape? If you had a 1,800 square foot house, based on the regression equation in the graph, what price would you choose to list at?

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MAT 240 Real Estate Data

Scenario
Smart businesses in all industries use data to provide an intuitive analysis of how they can get a competitive advantage. The real estate industry heavily uses linear regression to estimate home prices, as cost of housing is currently the largest expense for most families. Additionally, in order to help new homeowners and home sellers with important decisions, real estate professionals need to go beyond showing property inventory. They need to be well versed in the relationship between price, square footage, build year, location, and so many other factors that can help predict the business environment and provide the best advice to their clients.

Prompt
You have been recently hired as a junior analyst by D.M. Pan Real Estate Company. The sales team has tasked you with preparing a report that examines the relationship between the selling price of properties and their size in square feet. You have been provided with a Real Estate Data Spreadsheet spreadsheet that includes properties sold nationwide in recent years. The team has asked you to select a region, complete an initial analysis, and provide the report to the team.

Note: In the report you prepare for the sales team, the response variable (y) should be the listing price and the predictor variable (x) should be the square feet. Specifically you must address the following rubric criteria, using the Module Two Assignment Template Word Document:

 

• Generate a Representative Sample of the Data

o Select a region and generate a simple random sample of 30 from the data.

o Report the mean, median, and standard deviation of the listing price and the square foot variables.

 

• Analyze Your Sample

o Discuss how the regional sample created is or is not reflective of the national market.

  • Compare and contrast your sample with the population using the National Summary Statistics and Graphs Real Estate Data PDF document.

o Explain how you have made sure that the sample is random.

  • Explain your methods to get a truly random sample.

• Generate Scatterplot

  • Create a scatterplot of the xand yvariables noted above and include a trend line and the regression equation

 

• Observe patterns

o Answer the following questions based on the scatterplot: •

  • Define x and y. Which variable is useful for making predictions?
  • Is there an association between x and y? Describe the association you see in the scatter plot.
  • What do you see as the shape (linear or nonlinear)?
  • If you had a 1,800 square foot house, based on the regression equation in the graph, what price would you choose to list at?
  • Do you see any potential outliers in the scatterplot?
  • Why do you think the outliers appeared in the scatterplot you generated?
  • What do they represent?

You can use the following tutorial that is specifically about this assignment. Make sure to check the assignment prompt for specific numbers used for national statistics and/or square footage. The video may use different national statistics or solve for different square footage values.

 

Using the data in the table above, set up your data file in SPSS and create a table of Descriptive Statistics using the “Explore” function that shows descriptives for women and men separately. What is the median salary for men in this sample?

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SPSS Homework: Central Tendency Assignment Instructions

Overview

This assignment is designed to increase your statistical literacy and proficiency in summarizing, visualizing, and interpreting central tendency within data sets. You will work within SPSS, using data that are related to specific research scenarios in the behavioral sciences such as psychology, social work, and counseling. A working knowledge of how to summarize and visualize data is fundamental to being able to understand and apply research in your related field to your practice. Additionally, SPSS skills are professionally valuable, as it is one of the most used statistical software packages in behavioral science settings, both academic and professional.

Instructions

  • This assignment includes two problem sets that contain research scenarios and related questions.
  • For each scenario, you will respond to a series of questions asking you to create and interpret various tables and charts in SPSS. Paste your SPSS output directly into the homework underneath each relevant question. Type written answers into the document underneath the question to which they relate.
  • This assignment is worth 60 points.

 

Please review Watch: SPSS Homework Tutorial: Describing and Graphing Central Tendency and Watch: SPSS Homework Tutorial: Describing and Graphing Central Tendency for Groups in this module for directions on how to enter data in SPSS and use it to produce the final product for your assignment. The scenarios begin on the next page.

 

Problem Set 1: A neuropsychologist who works with clients over 60 years of age administers the Dementia Severity Rating Scale (DSRS; Clark and Ewbank, 1996) to the caregivers of 20 clients. On the DSRS, lower scores indicate a lack of, or low severity of, dementia symptoms; while higher scores indicate more severe dementia symptoms. The scores are contained in the table below.

 

DSRS Score
17

13

18

21

10

26

51

10

6

53

52

11

8

13

19

6

20

16

17

20

 

  1. Using the data in the table above, set up a data file in SPSS and create a table of descriptive statistics using the “Explore” command. Paste the table here: (8 pts)
  2. Using the same data, create a histogram showing the distribution of DSRS scores in the sample. Paste the histogram here: (7 pts)
  3. List the mean and the median for DSRS scores. (4 pts)
  4. Based on the information in numbers 1-3, which measure of central tendency would you use to describe this data set? Support your answer with material from the presentations and/or reading this week. (6 pts)
  5. Locate the outliers in the data set. Based on your knowledge of DSRS scores, what would your recommendation be for the caregivers of the patients with these outlying scores? (5 pts)

 

Problem Set 2: The following data are based on numbers taken from the Bureau of Labor Statistics surveys from the year 2019 ( https://www.bls.gov/cps/aa2019/cpsaat39.htm ), for community, service, social science, and education occupations. They represent the average weekly pay for wage and salary earners measured during 2019 and broken down by gender. Enter these data into a new file containing one grouping variable for gender and one variable for salary.

For the Gender variable in column 1, code women as 1 and men as 2

Remember to define these in Value Labels as covered in the presentations.

There will be thirteen “1”s and thirteen “2”s (as many participants as in each group) in the Gender column in SPSS.

The corresponding earnings will be entered in the Salary column in SPSS.

 

Women Men
1358

1042

1095

942

579

1003

944

862

896

556

731

664

589

 1870

1161

1262

1190

707

944

1108

1155

928

588

953

890

671

 

  1. Using the data in the table above, set up your data file in SPSS and create a table of Descriptive Statistics using the “Explore” function that shows descriptives for women and men separately. Paste the table here: (8 pts)
  2. What is the median salary for men in this sample? (5 pts)
  3. What are the mean and standard deviation of salaries for women? (5 pts)
  4. Using the same data, create a boxplot in SPSS to show the difference in salaries between women and men. Paste the boxplot here: (6 pts)
  5. Locate the outlier in the boxplot. What effect does this data point have on the mean of weekly earnings for men? (6 pts)

 

Use the following values in the model: m= 1450 kg, k-63. Simulate the response for the case F-0, with initial conditions x(0)-0, v(0)=15 m/sec; and the case F-550 N with initial conditions x(0)-0, and v(0)-0.

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Math Lab

Chapter – 6 – Principles of Cyber-Physical Systems (Rajeev Alur)

1. Implement and test (show the execution of) the continuous-time component that represents the dynamic model of a car given in the Textbook. Use the following values in the model: m= 1450 kg, k-63. Simulate the response for the case F-0, with initial conditions x(0)-0, v(0)=15 m/sec; and the case F-550 N with initial conditions x(0)-0, and v(0)-0. Use the discrete trapezoidal approximation of the derivative with the simulation step At-0.10 sec. Plot the component responses generated from your simulation.

2. Now add the level road effect to the car model above and regenerate the car responses to the 0-5 degree and 0-10 degree road slope and the F-550N case with initial conditions x(0) = 0 and v ( 0)-0 only. Plot the component responses generated by your simulation

 

Calculate the momentum vectors before and after collision of particles. Calculate the kinetic energy of the two particles before and after collision.

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Trigonometry

Deduce the final equation by using the cos and sin theta

Considerer the collision between a moving particle of mass M1 and an initially stationary particle of mass M2, assume collision occurs at an angle θ defined by the initial trajectory of M1 and the line joining the mass centers at contact.

1- Calculate the momentum vectors before and after collision of particles.

2- Calculate the kinetic energy of the two particles before and after collision.

3- Deduce that the ratio of the kinetic energy (E2) acquired by M2 relative to the kinetic energy (El) of M1 is:

4- Show that for a constant value of θ this ratio is maximum for M1=M2.

 

Write a function to compute the prime numbers up to a given value. The function is named sieve and it will take an integer value as parameter.

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Application of queues

The purpose of this assignment is the application of queues.

A prime number is a positive integer other than 1 and is divisible only by 1 and itself. For example, 7 is a prime number because the only positive factors of 7 are 1 and 7. On the other hand, 12 is not a prime number because 2, 3, 4, and 6 are also factors of 12.

You are asked to write a function to compute the prime numbers up to a given value. The function is named sieve and it will take an integer value as parameter. The function should return a list that contains all prime numbers up to (and including, if appropriate) value, the numbers in the returned list must be in ascending order. def sieve(value):

For example:

  • sieve(10) ➔ [2, 3, 5, 7]
  • sieve(11) ➔ [2, 3, 5, 7, 11]
  • sieve(20) ➔ [2, 3, 5, 7, 11, 13, 17, 19]
  • sieve(100) ➔ [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97]

 

Submit a Math Unit Plan paper. Incorporate one or more the components of number sense as a focus in your unit planning for 5 lessons.

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Math Unit Plan paper

Submit a Math Unit Plan paper. Incorporate one or more the components of number sense as a focus in your unit planning for 5 lessons. Go into detail in your lesson plan description so that anyone who reads your paper could teach each lesson from the information you provide. That means this paper will be at least 5-8 pages. You may create a student or use the description from a student you know (use a psuedonym rather than the real name).

Use the sample paper as your guide. Use 12 point font, 1 inch margins, and double-spacing for this paper.
Example as follows
file:///var/mobile/Library/SMS/Attachments/33/03/C1E56930-86E5-45F8-AF74-90532E020DFF/Sample+Writing+Unit+Plan+Paper.pdf