A researcher has determined that a two-factor model is appropriate to determine the return on a… 1 answer below »

A researcher has determined that a two-factor model is appropriate to determine the return on a stock. The factors are the percentage change in GNP and an interest rate. GNP is expected to grow by 4.1 percent, and the interest rate is expected to be 3.6 percent. A stock has a beta of 1.8 on the percentage change in GNP and a beta of –.80 on the interest rate.
If the expected rate of return on the stock is 14 percent, what is the revised expected return on the stock if GNP actually grows by 3.7 percent and the interest rate is 3.9 percent?

21. Mark Taylor famous personality development councillor of Germany in a special show on would you.

21. Mark Taylor famous personality development councillor of Germany in a special show on would you like to have affair with your own sister asked his viewers “ would you like to have affair with your own sister?” Of more than 8,500viewers who responded, 70% said yes. What does this show? The survey would have been more meaningful if he had picked a random sample of the 8,500 viewers. The survey would have been more meaningful if he had used a control group. This was a legitimate sample, randomly drawn from his viewers and of sufficient size to allow the conclusion that most of his viewers would in fact date there own sister. No meaningful conclusion is possible without knowing something more about the characteristics of his viewers. The survey is meaningless because of voluntary response.

In trying to find out what freshmen think about the food served on campus, campus-caterer has… 1 answer below »

In trying to find out what freshmen think about the food served on campus, campus-caterer has considered both an SRS and a stratified sample. Now they have run into a problem:it is simply too difficult and time consuming to track down the individuals whose names were chosen for their sample. Fortunately freshmen at the college is housed in 10 freshmen dorms. How could you use these facts to draw a cluster sample?how might that alleviate the problem?what concerns do you have?

Cluster analysis study on conservation of non distiled water from distillation process in USM lab…

I want you to do presentation about (Cluster analysis study on conservation of non distiled water from distillation process in USM lab )chrome://external-file/KELESTARIAN%20WSU%20101%20SURVEY%20ON%20GREEN%20LAB%20PRACTICE%20%E2%80%9CCONSERVATION%20ON%20NON-DISTILLED%20WATER%20FROM%20DISTILLATION%20PROCESS%E2%80%9D%20-%20Google%20Forms-1.pdf

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Given the two-dimensional points in Table 13.2, assume that k = 2, and that initially the points…

Given the two-dimensional points in Table 13.2, assume that k = 2, and that initially the points are assigned to clusters as follows C1 = {x1, x2, x4} and C2 = {x3, x5}. Answer the following questions

(a) Apply the K-means algorithm until convergence, i.e., the clusters do not change, assuming (i) the usual Euclidean distance or the L2-norm, defined

(b) Apply the EM algorithm with k = 2 assuming that the dimensions are independent. Show one complete execution of the Expectation and the Maximization steps. Start with the assumption that P(Ci |xia) = 0.5 for a = 1, 2.

Due Date: Jun 21, 2017 Details: Understanding the data sampling procedure and the description of… 1 answer below »

Due Date: Jun 21, 2017
Details:

Understanding the data sampling procedure and the description of the data is critical to accurately interpreting the results of a study. In this assignment, you will practice describing data from an SPSS data set.

General Requirements:

Use the following information to ensure successful completion of the assignment:

  • Review “SPSS Access Instructions,” located in Course Materials, for information on how to access SPSS for this assignment.
  • Access the document, “Introduction to Statistical Analysis Using IBM SPSS Statistics, Student Guide” to complete the assignment.
  • Download the file “Drinks.sav” and open it with SPSS. Use the data to complete the assignment.
  • Download the file “Census.sav” and open it with SPSS. Use the data to complete the assignment.

Directions:

Perform the following tasks to complete this assignment:

  1. Locate the data set “Drinks.sav” and open it with SPSS. Follow the steps in section 2.11 Learning Activity as written. Answer questions 1-3 in the activity based on your observations of the SPSS output. Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.
  2. Locate the data set “Census.sav” and open it with SPSS. Follow the steps in section 3.9 Learning Activity as written. Answer all of the questions in the activity based on your observations of the SPSS output.Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.
  3. Locate the data set “Drinks.sav” and open it with SPSS. Follow the steps in section 4.18 Learning Activity as written. Answer questions 1-6 in the activity based on your observations of the SPSS output.Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.

suppose you want to determine the mean number of students per statistics class in your state,… 1 answer below »

suppose you want to determine the mean number of students per statistics class in your state, Describe a possible sampling method in three complete sentences

STA 296: Statistical Methods and Motivations Other Graded Questions…

STA 296: Statistical Methods and Motivations Other Graded Assignments #4 – Due Friday, February 16 Submission: Upload and submit your completed assignment on Canvas before 11:59 PM on February 16, 2018. Make sure the document you upload has file extension .pdf. 1. In order to estimate the proportion of all dentists who recommend a specific brand of toothpaste, a consumer protection group randomly samples 400 dentists, and finds that 330 recommend that brand. Suppose we want to estimate the proportion of all dentists who recommend that brand of toothpaste. Use StatKey to construct a bootstrap distribution (consisting of at least 5000 bootstrap samples), and then use percentiles to find a 90% confidence interval for the relevant population proportion. Copy screenshots of the bootstrap dot plot (with percentiles visible) and original sample box into your assignment. 2. Now, construct the same interval as in the first problem, but use the “CI for Single Mean” option on StatKey instead of “CI for Single Proportion”. To estimate a proportion as though you are estimating a mean, each individual needs to be listed numerically as either a 1 (for a success) or a 0 (for a failure). In this context, a success occurs when a dentist recommends the toothpaste, and a failure occurs when a dentist does not recommend the toothpaste. Consequently, your sample will consist of 330 ones and 70 zeros. The file “toothpaste.csv” on Canvas contains the sample data expressed as ones and zeros. If you would rather not type out 330 ones and 70 zeros manually, select “Upload File” in StatKey (instead of “Edit Data”), and upload toothpaste.csv. (Note: You will have to save the csv file first before you can upload it. You cannot upload it from Canvas.) You will be prompted to select a column. At this point, select the only available column (click on the word “recommendation”, then “OK”), and the sample data will upload to StatKey. Whether you use the csv file or enter the data manually, the original sample should have ?? = 400 and ??¯= 0.825. Just like in the first problem, construct a bootstrap distribution (consisting of at least 5000 bootstrap samples), and use percentiles to find a 90% confidence interval for the proportion of all dentists who recommend that brand of toothpaste. Then copy screenshots of the bootstrap dot plot (with percentiles visible) and original sample box into your assignment. The confidence interval endpoints that you get in this problem should be very close (if not identical) to the ones you got in the first problem.

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In this problem, you will perform K-means clustering manually, with K = 2,…

• In this problem, you will perform K-means clustering manually, with K = 2, on a small example with n = 6 observations and p = 2 features. The observations are as follows:

Obs X1 X2
1 1 4
2 1 3
3 0 4
4 5 1
5 6 2
6 4 0
  1. Plot the observations.
  2. Randomly assign a cluster label to each observation using RandomGroups.sas. Print the random group assignment and report the cluster labels for each observation.
  3. Compute the centroid for each cluster.
  4. Assign each observation to the centroid to which it is closest, in terms of Euclidan distance. Report the cluster labels for each observation.
  5. Repeat (3) and (4) until the answers obtained stop changing.
  6. In your plot from (1), color the observations according to the cluster labels obtained.

• Consider the USArrests data that contains statistics, in arrests per 100,000 residents for assault, murder, and rape in each of the 50 US states in 1973. We will now perform hierarchical clustering on the states. The dataset includes 50 observations on 4 variables:
– Murder: numeric, Murder arrests (per 100,000)
– Assault: numeric, Assault arrests (per 100,000)
– UrbanPop: numeric, Percent urban population
– Rape: numeric, Rape arrests (per 100,000)
Source: World Almanac and Book of facts 1975. (Crime rates). Statistical Abstracts of the United States 1975. (Urban rates).

  1. Using hierarchical clustering with complete linkage and Euclidean distance, cluster the states.
  2. Cut the dendrogram at a height that results in three distinct clusters. Which states belong to which clusters?
  3. Hierarchically cluster the states using complete linkage and Euclidean disnce, after scaling the variables to have standard deviation one.
  4. What effect does scaling the variables have on the hierarchical clustering obtained?

• Consider the data set for company ABC (ABC.csv on Blackboard). Executives are interested in determining if there are segments of their market that have similar perceptions of ABC (X1 – X7) that might help them refine their marketing strategy. ABC is only interested in meaningful segments (representing roughly 10% or more of their customer base). Also assume that the company does not want to consider a segmentation with more than 6-7 segments.

  1. State your dissimilarity measure of choice. Perform a hierarchical cluster analysis of the data. Use the various linkages that we have considered in class.
  2. Summarize what you find by comparing and contrasting the results across the various methods you try.
  3. Using the results, you obtained from the hierarchical analysis, choose a clustering algorithm (linkage) and select a preliminary cluster solution(s).
  4. Profile the preliminary cluster solutions to identify the one you feel is most appropriate. Make sure to justify your decision.
  5. Define seed points for a follow on non-hierarchical analysis.
  6. Perform a non-hierarchical analysis and analyze the results for ABC (i.e. Interpret your results and suggest how the results may help inform their marketing strategy)

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You need to undertake a series of face-to-face interviews with managing directors of small-to…

You need to undertake a series of face-to-face interviews with managing directors of small-to medium-sized organisations. From the data you collect you need to be able to generalise about the attitude