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Statistics

: read the short paper scenario below and answer the questions using the scenario and what you have learned in this course

: Read the short paper scenario below and answer the questions using the scenario and what you have learned in this course
See below attachment

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Statistics

After you listen, reflect on what you heard.

Part 1: 150 words
The early planning stage for a presentation requires you to focus in on your topic and purpose statement and to begin gathering research and support for that purpose statement. In a multi-paragraph reflection, a minimum of 150-words, reflect on the skills you used as you started to prepare for your Portfolio Presentation.
In your reflection, be sure to discuss the following:
Consider your skills in research and planning. Give examples of the research and planning process you used to prepare for your Portfolio Presentation.
Describe your strengths and the areas you struggled with during this process.
Discuss how the development of this skill will help you as you move forward in your education and career.
Part 2: 150 words
The website American Rhetoric ranks Martin Luther King, Jr’s “I Have a Dream” speech as the top-ranking speech of the 20th century. While you have more than likely heard portions of the speech, the power of the speech can only be heard when heard full-length. Click on the link below to listen to the 16 minute, 27-second audio file of Martin Luther King Jr’s speech.
Audio file: “I Have a Dream”
After you listen, reflect on what you heard. In your initial post, address the following:
Discuss King’s use of language to inspire his audience. Give examples of the powerful words and language King uses.
Explain what you perceive as the power behind these words and how they enhance the impact of this speech.
Explain why you believe 137 leading scholars chose this particular speech to represent the best speech of the 20th century.I Have a Dream
Psy Part 3: 150 words
In the lecture, you learned about many cognitive processes, including perception. Perception involves how people interpret and make sense of the world around them. As you learned, there are a variety of perceptual errors, including the recency effect and the halo effect. These errors help to explain why an individual’s perceptions might not correspond with reality and why people can have such differing perceptions from one another.
For discussion, you will apply this material to your personal or professional life. Please address the following in your initial post:
Summarize a time where your perception differed greatly from that of another person.
In so doing, make sure to describe your own perception and the other person’s and explain whether either of you might have been displaying one of the perceptual errors you learned about in lecture (halo effect, recency effect, etc.).
Detail what the results of this perceptual difference were. For instance, did it lead to hostility or difficulty finding common ground?
Outline specific ways this situation could have been handled differently using tips from lecture.
Identify some strategies you will use in the future to ensure you are perceiving reality as accurately as possible and not succumbing to perceptual errors.
Part 4: 150 words
Utilize the Bryant and Stratton College Library Page to find a scholarly research article the utilizes a Pearson Correlation Analysis. You are welcome to search for an article related to your Portfolio Project and utilize this in the literature review section of your project.
Which research article did you choose? Give the article reference.
Give a brief general summary of the research article objectives.
What variables did the researchers test in the correlation analysis?
Give a brief summary of the major findings of the correlation analysis.
Do you think the study could have been improved? Are there additional variables that may be related to the topic that were not included?

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Statistics

Provide the descriptive statistics (sample size, mean, median, and standard deviation).

Scenario
You have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. The average cost per square foot of home sales based on this advertisement is $280. The salesperson claims that the average cost per square foot in the Pacific region is less than $280. In other words, he claims that the newly designed advertisement would result in higher average cost per square foot in the Pacific Region. He wants you to make sure he can make that statement before approving the use of the advertisement. In order to test his claim, you will generate a random sample size of 750 using data for the Pacific region and use this data to perform a hypothesis test.
Prompt
Generate a sample of size 750 using data for the Pacific region. Then, design a hypothesis test and interpret the results using significance level α = .05. You will work with this sample in the assignment. Briefly describe how you generated your random sample.
Use the House Listing Price by Region Spreadsheet document and the National Summary Statistics and Graphs House Listing Price by Region PDF documents to help support your work on this assignment. You may also use the Descriptive Statistics in Excel PDF and Creating Histograms in Excel PDF tutorials for support.
Specifically, you must address the following rubric criteria, using the Module Five Assignment Template Word Document
Hypothesis Test Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
Define your population parameter.
Write the null and alternative hypotheses.
Specify the name of the test you will use.
Identify whether it is a left-tailed, right-tailed, or two-tailed test.
Identify your significance level.
Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.
Provide the descriptive statistics (sample size, mean, median, and standard deviation).
Provide a histogram of your sample.
Describe your sample by writing a sentence describing the shape, center, and spread of your sample.
Determine whether the conditions to perform your identified test have been met.
Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.
Calculate the sample mean and standard error.
Determine the appropriate test statistic, then calculate the test statistic.
Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 280.
Calculate the p value.
Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.
Choose your test from the following:
=T.DIST.RT([test statistic], [degree of freedom])
=T.DIST([test statistic], [degree of freedom], 1)
=T.DIST.2T([test statistic], [degree of freedom])
Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.
Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis.
Discuss how the p value relates to the significance level.
Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.
Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.
Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.

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Statistics

Miniproject03_data_visualization_v09.pdfdownload miniproject03_data_visualization_v09.pdf

Please follow the instructions in the Tableau Mini-project description and submit your *****.twbx file here on Canvas.
miniproject03_data_visualization_v09.pdfDownload miniproject03_data_visualization_v09.pdf
An example mini-project 03 if it is helpful…
example22.twbx

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Statistics

Now you see a large data set with many variables.

Download the attached data file (sav SPSS file) file to open in SPSS. Now you see a large data set with many variables.
CAUTION: All variable measures have been changed to ORDINAL. Obviously, not all variables are ordinal. You need to identify the level of measurement of the variables you pick, and if necessary for your analysis, correct the level of measurement on SPSS.
TASK:
– Using SPSS, select a NOMINAL, an ORDINAL and a SCALE variable. Describe these variables one by one. Where necessary, report frequency, and measures of central tendency. Create a display (bar, chart or graph) for each variable. Not every graph is suitable for every variable. This is the assignment, as well as it is SPSS. Your graphs need to make sense.
– Follow the principles from the textbook, as we discussed in class. (Is that variable a “good one” to make a bar graph, or do i need a histogram or a pie chart here?)
– Copy and paste information/tables/charts/graphs to a word document. Copy relevant information ONLY. Explain every information you put out there. Copy pasting a graph without an explanation will not be meeting the minimum requirements. Be neat. Suppose that you are preparing a report for your Chief/CEO.
– Beware of GIGO (garbage in garbage out)
– Submit the word document AND the .spv file (SPSS output editor file) to the BB. (please name your documents properly; i.e. “CIA540_LabActivity1_Chad_Smokey.docx”)

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Statistics

Describe the chi-square goodness-of-fit test.

The purpose of this discussion is to allow you to consider how nonparametric tests are used and how two types of chi-square tests compare. To do this, you will need to explain statistical concepts and assess assumptions, limitations, and implications associated with statistical tests.
For your initial post,
Describe the chi-square goodness-of-fit test. Explain what this test measures.
Explain how the chi-square goodness-of-fit test is similar to and different from a simple frequency distribution.
Describe the chi-square test of independence. Explain what this test measures and how it is similar to and different from the chi-square goodness-of-fit test.
How do you know when to use one analysis over the other?
Provide a real-world example in which either a goodness-of-fit test or a test of independence should be used.

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Statistics

Reviewed scientific journal articles should be included and integrated into the paper (2 points).

GRADING CRITERIA FOR RESEARCH PROPOSAL
Total of 100 Points
I. Title Page (5 points) A. Title Page (Title not too “narrowly focused” and not too “vague”; Use APA Format) (5 points).
II. Introduction (35 points)
A. At least 2 paragraphs at beginning which discuss the general problem/issues relevant to the project. Introduce key
conceptual ideas and possibly relevant terminology. (7 points).
B. 3-6 paragraphs reviewing at least 3 relevant experimental studies which bear upon your project in some way (e.g.,
similar methodology, similar goals, similar concepts). At least 1 paragraph per experimental study. Note that
many journal articles report multiple experimental studies so you can take several experimental studies from same
journal article. Each paragraph should explain: what was done, what were the results, and clarify how this study is
related to the current study. (20 points).
C. 1-2 paragraphs at the end of the introduction which explain what you intend to do and why you intend to do it. (8
points).
NOTE: The point of the introduction is to make the reader appreciate the importance and scientific integrity of your
project as well as explain clearly what you intend to accomplish and describe your proposed methodology. Points will
be assigned based upon how well you accomplish these goals.
III. Method Section (15 points total)
A. Participants (3 points). (1 paragraph)
B. Materials/Apparatus/Measures ( 9 points). (1 –6 paragraphs)
C. Procedure (3 points). (1 – 6 paragraphs)
IV. Expected Results/Proposed Analyses (15 points total)
A. Study variables (independent and depended variables) /Scoring (3 points).
B. Preliminary Analysis (3 points).
C. Main Proposed Analyses for (9 points).
V. Discussion (15 points)
A. Restatement of expected key findings and results of the study (3 points).
B. Discussion regarding how the expected findings and results are similar
and different with respect to at least 3 relevant experimental studies (which can
be the same ones as you used in your introduction. (3 points).
C. Implications and contributions to knowledge: practical implications and theoretical implications (5 points).
D. Summary of take-home message. What are the key distinguishing scientific contributions of this project? (4
points).
VI. References (5 points).
References should be properly cited in text using APA format and reference list complete (3 points). At least 3 peer-
reviewed scientific journal articles should be included and integrated into the paper (2 points). At least two of the journal
articles should be published within the last 8 years.
VII. Writing Style (5 points).
0 = not APA format, 1=weak (organization poor and English Grammar use is not acceptable), 2=ok (watch for
ambiguous words; terms not carefully defined; organization poor but English Grammar acceptable; no misspelled
words), 3= good, 4=very good (“excellent” for a typical undergraduate student paper) [each word essential for each
sentence; each sentence essential for each paragraph; each paragraph essential for each section], 5=excellent (scientific
journal quality)
VIII. Appendix (5 points)
A. Surveys, questionnaires, or demographic questions that will be used in your study. (5 point)

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Statistics

Answer the questions correctly and make sure to show all of your work.

Answer the questions correctly and make sure to show all of your work. If you need to hand write to show work that is fine too. I have attached the questions in pdf and dox.

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Statistics

The flowchart

Statistical Process Control Methods of ABC Company
Continue the flowchart from precedent Week and identify variances within a process.
The flowchart

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Statistics

I don’t think it will be hard for someone who has experience in statistics.

Please answer the questions in the table. The answers don’t have to be long as long as they are satisfactory. Please use chapters 3 and 4 of the book I attached when answering the questions. I don’t think it will be hard for someone who has experience in statistics.
I’d really appreciate it if I can get it in 2 hours!