Download the statdisk program from www.statdisk.org.

Explaining Statistics to Your Boss
You are tasked with explaining some statistical concepts to your boss to help him make some company decisions. Your boss does not have any background in statistics and has a hard time with numbers in general, so you decide to choose a non-work topic to explain the concepts. You will use Statdisk to make your computations, and then present the information along with your explanations as a report. Your report should include a title page, table of contents, summary of the information, your computations and explanations, any conclusions that you make about the data, and references that you used. Keep in mind that your textbook and the course resources you use when making your computations and explanations should be cited appropriately.
To prepare for this Assessment:
Download the Statdisk program from www.Statdisk.org. You will save this to your computer for use throughout the Area of Expertise.
For this Assessment, you will need to read pages 3–4 and 7–9 of the Statdisk User Manual document.
Choose one of the following files from the Statdisk User Manual document:
Oscar Winner (This file contains the age of each actress and actor Oscar winner at the time of their win.)
Freshman 15 (This file contains the weight in kilograms and BMI of freshmen in September and in April.)
Word Count (This file contains the counts of words spoken in a day by male and female students in size different sample groups.)
Garbage Weights (This file contains the weights in pounds of household garbage.)
Passive and Active Smoke (This file contains the measured levels of serum continine in ng/ml).
Note: You will need to choose two (2) quantitative variables from the file that you chose and label them Variable 1 and Variable 2.
Part 1: Computations and Graphical Representations
Part 2: Interpreting Statistical Information
Note: Use the learning resources throughout this competency to support your computations and cite at least one resource.

What was not accomplished in the study that needs to be followed up on?

Introduction
a) Identify the specific focus of the research.
b) explain the purpose of the study. what was the study trying to achieve?
c) describe the specific characteristics of the group being studied. what was the population? what was the sample size? what were its demographics?
Analysis
a) analyze the research methods of the study. How did the researchers test their hypotheses related to the research questions?
b) examine the outcomes of those tests. what are the major findings
Discussion
a) Assess the implications of the study. what surprised you or struck you as interesting? What wider relevance or meaning do you draw from this study?
b) Identify the potential next steps for the research. what related questions remain unanswered? What was not accomplished in the study that needs to be followed up on?

How would you guard against such problems when doing your own survey?

Dear writer,
For this assignment, please read chapter 7 from textbook “Remler, D.K., & Van Ryzin, G.G. (2022). Research methods in practice: Strategies for descriiption and causation (3rd Edition). Thousand Oakes, CA: Sage Publications. ISBN-978-1544318424” and answer the questions below.
– In what ways do survey researchers sometimes act unethically? How would you guard against such problems when doing your own survey?
– Please answer in your own words and professionally. Thank you!

List both the familiar and the unfamiliar ones.

Free Supplementary Textbooks:
• Howell, D. C. (2012). Statistical Methods for Psychology. Cengage Learning. http://gtu.ge/Agro- Lib/Howle.pdf (well written and useful, heavy on formulas and hand calculation, little support for SPSS)
• Graphing Distributions in Lane’s Online Statistics Education: An Interactive Multimedia Course of Study at http://onlinestatbook.com/2/index.html or https://openstax.org/details/introductory- statistics
• Tyrrell, S. (2009). SPSS: Stats practically short and simple. Bookboon. Freely downloadable at https://oerstatistics.files.wordpress.com/2016/03/stats-practically-short-and-simple.pdf (This book is nice for a walk-through of the basic steps in data handling, data entry, and other “basic laboratory practices” or “basic office practices”. It is a good reference for a variety of details we might not cover directly in class and should help answer a variety of questions about how to work with data and analyses.)
Syllabus Psychology 301 Statistical Methods 3
• Fay, D. S., & Gerow, K. A biologist’s guide to statistical thinking and analysis. WormBook: the online review of C. elegans biology. http://www.wormbook.org/chapters/www_statisticalanalysis/statisticalanalysis.html (We include this as an example of a very condensed overview of basic statistics)
READ CHAPTER 10 AND 11:
* Describe two types of research designs used when selecting related samples.
* Explain why difference scores are computed for the related-samples t test.
* Calculate the degrees of freedom for a related-samples t test and locate critical values in the t table.
* Identify the assumptions for the related-samples t test.
* Compute a related-samples t test and interpret the results.
* Compute and interpret effect size and proportion of variance for a related-samples t test.
* State three advantages for selecting related samples.
* Summarize the results of a related-samples t test in APA format.
* Compute a related-samples t test using SPSS (Stats 3e Screencast 10.4)
* Describe the process of estimation and identify two types of estimation.
* Distinguish between significance testing and estimation.
* Compute and interpret confidence intervals for the one-sample z test.
* Compute and interpret confidence intervals for the one-sample t test.
* Compute and interpret confidence intervals for the two-independent-sample t test.
* Compute and interpret confidence intervals for the related-samples t test.
* Distinguish between the certainty and precision of an interval estimate.
* Summarize confidence intervals for the z test and t tests in APA format.
* Compute confidence intervals for the one-sample, two-independent-sample, and related-samples t tests using SPSS.
* Hand calculate Cohen’s d statistic as your measure of effect size (click here for a tutorial)
* How to read error bars: https://scienceblogs.com/cognitivedaily/2008/07/31/most-researchers-dont-understa-1
* Use this article to clarify your understanding of confidence intervals and the standard error
* Use this article to understand how to read error bars on charts whether they refer to confidence intervals or standard error
* Stats 3e Screencast 11.5 (click here) which references these instructions ( Stats 3e Screencast 9.6 ). You will also need to read “Example 11.2” about social functioning in our text for these videos to make sense.
* Stats 3e Screencast 11.9 (click here)
Assignment:
1.) Find, cite, and explain one scholarly or academic source that explains how to read a scientific research article.
* Write your reply as if you were teaching others.
* What are the main pieces of advice from this article about how to read scientific research articles?
2.) Find, cite, and explain one scholarly source that explains how to read error bars on graphs.
* What are the main pieces of advice from this article about how to read scientific research articles?
* Write your reply as if you were teaching others.
3.) Go on a “statistics scavenger hunt” by finding an article in your field of interest and list the following
* What were the primary descriptive statistics they mentioned which are familiar? What were any unfamiliar ones?
* What types of graphs and charts were used? Were there any you haven’t seen before? If so, what were those?
* What were the primary inferential statistics mentioned in the article? List both the familiar and the unfamiliar ones.
Your main post should be at least 250 words with one reference.

Explain briefly.

Report:
Use the given Template to upload a two to three pages report to Canvas
by the Due Date. In your report, include the following:
• Your name at the top
• The following analysis output as described in this handout:
Exhibit 1 (10 points): Screenshot of your “Descriptive Statistics”
results.
Exhibit 2 (10 points): Screenshot of your “Regression” results.
• Answers to the following questions:
Question 1 (20 points): Based on the “Descriptive Statistics” results,
what’s the mean value for ‘VS1’ diamonds’ price? and what’s the mean
value for ‘I1’ diamonds’ price?
Question 2 (20 points): Based on the “Regression” results, what’s R-
square of the model? What does it mean? Explain briefly.
Question 3 (20 points): Based on the “Regression” results, what’s the
coefficient for the weight ‘carat’? How much change in price would be,
averagely, if the weight of a VS1 diamond increase 0.1 carat?
(You can apply the same analysis on ‘I1’ diamonds and you may find the
story isn’t the same. This part is not required for Question 3)
Question 4 (20 points): Based on the “Regression” results, what’s the
95% Confidence Interval for the coefficient of ‘carat’?

Please read the first report for your reference the change happened in august note when submitting the copy, i also want an excel shebciet as order # 7764288

I want to make a comparison in the second report after we created the second model that we produced in August. I want to analyze each of the information and add tables and graphics. Please read the first report for your reference The change happened in August Note when submitting the copy, I also want an Excel Shebciet as order # 7764288

How will you start

If you have 1 Million dollars and you start a business in another country
What business will you choose
Why that business
How will you start
What are your goals

“our state elections “

Prepare a statistical research paper on topic
“Our State Elections “
You can take data related to the topic based on different demographics like age, gender, ethnicity, income, education, states, regions, country, underlying health condition risk factor etc.
Present the data in tables and do calculations like mean, variance, testing, charts, percentages, proportions, Test Hypothesis, Regression, Analsis of Variance, comparisons etc.
Present your own graphs and conclusion of your study based on the objective.
The expected research paper structure is as follows and the subheadings expected in your paper are marked bold.
1) Give a Title to your research paper on the top. Then follow by following steps
2) Abstract – A short paragraph covering the objective for your study. This should appear after the title
3) An Introduction to your topic
4) List Data tables on which you do calculations in your narrative
5) Do Calculations like mean, mode, median, standard deviation, variance, percentages, proportions etc. Where ever it makes sense in your study
5) Present Graphical/charts of data like bar graphs, Pie graphs, Ogive curve, Frequency polygon, Histograms etc. where ever applicable in your narrative as per the objective of study
7) Give Summary or Conclusion of your study in the end and
8) List of References or citation of papers or website used for study
Your paper should have at least 5 pages or more.
No limit on maximum number of pages.
Font size 12 and line spacing 1.5.

Why are we concerned with multicollinearity?

Why are we concerned with multicollinearity?
How might we sift through predictors to find the best set of predictors for our model?
If we run an ANOVA(model1, model2) and the p-value is greater than .05 what does this mean?
– Illustrate the questions with your own words.
– Illustrate the questions with your own words.
– Form your research question
– Form your hypothesis
– Provide the correct codes you used
– Write a proper summary with all the essential information