Category: Statistics

Initial Post: Choose one out of the 10 provided datasets and write a post that includes:
The name of the dataset.
A description of the x and y variables.
A trendline (regression line) graph of the data created in Excel or Desmos.
The equation and correlation coefficient.
A clear description of the trend of the association of the x and y variables by discussing the trend, shape, and strength.

This is a doctoral level research assignment
Use peer-reviewed/scholarly articles
Follow ALL instructions on the instructions page.
Review all additional documents
Entire assignment must be APA formatted (see guides attached)

1.     
Overall, what did you think of the way the information was
presented?
(I liked it )
2.     
Which 3 slides did you think provided the best source of
information in an easy-to-read format?  Explain your answer.  
(Slides: 5,6,24)
3.     
Which 3 slides did the worst job of providing easy to use
visual information?  Why did you think this (i.e., too much on one slide,
tried to longitudinal for cross-sectional information, not enough on one slide,
partial picture of the scenario, etc.)?
(Slides: 7,8,20)
4.     
Based on the entire report (not just a couple slides), what
was the overall theme(s) that the researchers portrayed in the dossier and how
would you use this information as a potential investor? Put differently,
briefly tell us the lasting thought or impressions that stuck with you after
only reading through the charts and graphs a time or two.  Also, how would
this lasting impression or theme guide you as an investor, shareholder, or
executive for this company?

choose a Data Set and work with the Systematic Sample that you create to complete this assignment. The Data Sets can be found on the Data Sets for Project Parts and the Semester Project page. To access the pages and assignments listed, use Modules in the Left Navigation.
You will get feedback from your instructor on parts of the project in the Project Parts as listed. Use that feedback to improve that portion of the project.
Part 1: Systematic Sample of your chosen Data Set
Part 2: Frequency Distribution
Part 3: Descriptive Statistics
Part 4: Semester Project First Half.
Part 5: 90% Confidence Interval for the Population Mean
Part 6: Hypothesis Test for the Population Mean
For the this Project you will submit the completed PowerPoint with the above information and what you learned about your sample. Download and use this Template Download Templatefor your project, change the file name to include your Name. Directions from the Project Parts assignments are below and in the template, click on the slide to expand. Additional details and examples for that portion are included in the respective Project Part.
Images cannot be accepted for work for any portion of the project, but may be used as supplemental explanations.
For any calculations that result in more than 4 decimal places, round to 4 decimal places. 
The General Layout is as follows (Click to expand each slide):
Slide 1: Title Page
Slide 2: Abstract
Slide 3: Your Sample Set
Slide 4: Frequency Distribution
Slide 5: Measures of Center
Slide 6: 5 Number Summary & IQR
Slide 7: Standard Deviation
Slide 8: 90% Confidence Interval for the Population Mean
Slide 9: Hypothesis Test
Slide 10: Conclusions
Date of birth is nov 05.
PreviousNext 

Please select your data set from https://www.who.int/data/gho/data/themes/world-health-statistics or any other website (citing the source) and as discussed in class you are required to set your own criteria for selection (smaller set of units/other criteria) and use descriptive statistics in excel. The criteria, data, and results (with explanation) are required to be submitted as a properly formatted word/pdf on or before the submission due date.

Within the Discussion Board area, write 400-600 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.
Suppose that a researcher wanted to use the secondary data found in the gss.sav data file to determine if males or females use the Internet more. Go to the Resources area of the class to download the files that you will need to complete your assignments each week. Open the gss.sav data set in SPSS to review the variables sex, useweb, and webhrs.
Use Variable View to consider whether the data are nominal, ordinal, or interval, and suggest which type of SPSS analysis might be most appropriate for these questions and why that would be the best choice. Please provide the output from SPSS and put in APA format.

book for this class: https://openstax.org/details/books/introductory-business-statistics
Tables serve as a structured and organized way to present data, making it easier to comprehend and analyze (Siedlecki 2023). For the injuries seen in the clinic, a frequency table would be best. It would list each type of injury observed along with the frequency of occurrence. This table would show the types of injuries encountered and their respective frequencies. For the data on the number of minutes spent in the waiting room, a frequency table or a relative frequency table could be used. 
Injuries Seen in the Clinic:
A bar graph would be best to display the frequency distribution of injuries. The x-axis would represent the different types of injuries, while the y-axis would represent the frequency of each injury type.
Data 2- Number of Minutes Spent in the Waiting Room: For this data, a histogram would be best to display the frequency distribution of minutes spent in the waiting room. The x-axis would represent the range of minutes like 0-10, 11-20. The y-axis would represent the frequency of patients falling into each range
.
Reference-
Holmes, A., Illowsky, B., & Dean, S. (2017). Introductory Business Statistics. OpenStax. https://openstax.org/details/books/introductory-business-statisticsLinks to an external site.
Siedlecki, S. (2023). Tables, Figures, and Graphs—Oh My. Clinical Nurse Specialist, 37 (4), 160-163. doi: 10.1097/NUR.0000000000000751.

1. Data on the amount of the customers’ shopping by using an account card and whether they decided to upgrade their account from silver status to platinum status after receiving the upgrade offer is shown in Table 2.
a. Construct the k nearest neighbors’ scheme for predicting upgrades based on the data given in Table 2, and interpret the confusion matrix.
2. According to the data given in part 1, estimate the probability of upgrade for each division of the purchase amount, using Bayes’ theorem.
using the book from Bowerman, B., Drougas, A. M., Duckworth, A. G., Hummel, R. M. Moniger, K. B., & Schur, P. J. (2019). Business statistics and analytics in practice (9th ed.). McGraw-Hill

Question 1: Hypothesis Testing (7 points, 1 point each)
The average performance of the statistical analysis course in UD is claimed to be 70 percent. To confirm the claim, the University took a samples of 30 students who took the course in the past and their marks are reported in the tables below (for respective group analysis): Sample For Group E:
72,73,66,72,70,74,69,67,75,78,65,73,70,67,71,74,69,72,70,76,67,71,74,69,73,72,70,75,73,71
Using the data assigned to your group undertake a hypothesis testing (at 0.05 level of significance) to determine whether the claim is true or not clearly showing all the steps below:
State the appropriate null and alternative hypotheses
Specify the desired level of significance, and state the sample size.
Determine the appropriate test statistic (Z-distribution or t-distribution) and state why.
Determine the critical values, for a = 0.05
Compute the test statistic from your sample.
Is the test statistic calculated in the acceptance or the rejection region (show it graphically)?
Make a decision and interpret the results.
Question 2: Regression Analysis (13 points: 2 + 2+ 3 + 3 + 3)
Use the house data, (available on Moodle) to
answer the following questions:
Run a linear regression where the dependent
variable is the rent value, while all the other variables are independent. Your group should work on the data sample assigned on the
excel TAB (posted in the Moodle).
a.
What is the Adjusted R Square? Interpret your result. (2 marks)
b.
Interpret the significance of each independent variable in explaining the
dependent variable. If significant, tell at what % level of significance. (4
marks)
c.
What is the estimated regression line? Interpret
the estimated coefficients for each of the independent variables. (5
marks)
d.
What will be the estimated rent-value of
a house with the following attributes:
(2
marks) SQFT
2300
AgeOfHouse
20

Using the steps developed in Value Stream Mapping (attached in the document named activity 3.2), go to 5 people (can be made up)  and ask how long it would take to do each step of your process. 
Using the data from this survey, determine the mean and sample deviation for each step. 
Enter this information in the Excel file attached for each step of your process. Run the program.
Using Minitab develop a Time Series Chart and a Descriptive Data table
Infer about the behavior and trend of values. 
Notes:  The values change each time you run the program. Therefore print the run that you will use as a basis for the current situation.
If you have more than 10 steps, insert the spaces you need and copy the columns.