Category: Statistics

I am currently in need of assistance with my statistics project, specifically an

I am currently in need of assistance with my statistics project, specifically analyzing the impact of Spiderman on Box Office Success. I am encountering difficulties while attempting to input data and I am unsure about which graph options to utilize in StatKey. Moreover, formulating my null hypothesis has been challenging as well. As it stands now, my null hypothesis states that the release of the 2002 Spiderman movie had no impact on the Box office success. Conversely, my alternative hypothesis suggests that the release of the 2002 Spiderman movie had a positive impact on the Box office success. If possible, I would greatly appreciate if someone could provide me with a similar outline of this example project for reference purposes towards completing my final project.
My dataset
https://www.kaggle.com/datasets/jonbown/spiderman-box-office-performance
Final Project Example Reference outline
Daddy Changed the World”: History of Police Killings of Black
People in the 20th – 21st Century, and the Impact of the Police
Killing of George Floyd on Systemic Racism
Description: this project focuses on the history of police killings of black
people – it involves recent data on the topic.
Resources to use:
a) https://naacp.org/resources/criminal-justice-fact-sheet – see “Effects of
Incarceration” along with other valuable data on the page
b) https://www.youtube.com/watch?v=FvK4JCmscuc – “People Killed by
Police in the U.S.” – watch this video and pay attention to the various
statistics used and displayed – this will be key to what you’ll have to do
c) https://mappingpoliceviolence.org/ – Mapping Police Violence website
which tracks police deaths in the US. The data in b) above is taken from
here and your data will be as well. Note: The site mentions on the main
page “Black people have been 27% of those killed by police in 2021
despite being only 13% of the population.” Think about this statement.
d) https://www.youtube.com/watch?v=TrdxC513rvo – “US Police Violence
Visualized” – a good visualization of US police violence from 2013-2020.
e) https://mappingpoliceviolence.org/s/MPVDatasetDownload.xlsx – Full
Database for mapping police violence as presented in video source b).
f) Log-on to our Canvas shell and download the “Dataset for Project 2” under
the “Final Project” section of the page.
Project steps and details:
1) Familiarize yourself with the provided resources above.
2) Download the dataset for this project from our Canvas shell.
3) Go to StatKey and under “Descriptive Statistics and Graphs” select “Two
Quantitative Variables.”
5) Hit “Upload File” (4th button on top menu) and select the .CSV file with
data “MVPDataSetCSV”. StatKey will ask you to select the two quantitative
variables – select “Black Male Population (2015)” first for the x variable and
“Black Men Killed by Police” second for the y variable.
6) Hit the “Show Regression Line” box on StatKey to select it and see the
scatterplot with regression line. What do you observe? Look at the summary
statistics and write down the correlation factor, slope, and intercept. Also
note the various means and standard deviations.
7) In another country, data shows that the correlation coefficient is r=0.650
for Black Male Population vs. Black Men Killed by Police (as set up in step 5)
above). Run a Randomization Test for a Slope, Correlation on StatKey with
null hypothesis rho=0 to see if a correlation of 0.650 is statistically
significant. Use 2,000 samples. Carefully write down all your work and steps
in detail. Take a screenshot to include in your report.
8) Reject or accept the null hypothesis from step 7.
9) Explain its significance, and discuss in the context of the bigger issue of
history of police killings.
10) Summarize your research in a short report or a 6–to-10-minute video.
Your report or video should show step-by-step solutions to prompt 7). It
should provide many visual displays of statistics, relevant to the theme.
Provide plenty of visuals as in the video provided in resource b). Finally,
your report/video should tie-in the statistics with the overall discussion on
the topic.

Based on what you have learned throughout the course, you will produce a final r

Based on what you have learned throughout the course, you will produce a final research project on your topic (18-20 pages, not including the bibliography). Your final project should include the following:
1. A clear articulation of the policy puzzle motivating your research question
2. A concise synthesis of existing research related to your research question
3. An identification of both the dependent variable and primary independent variable(s)
4. A coherent explanation of the hypothesized relationship between your dependent and independent variable(s) and a detailed description of how you measured your dependent and primary independent variable(s) and what data you used or plan to use to do so
5. A statistical approach to testing your hypothesis and an interpretation of the results that includes:
a. descriptive statistics (such as frequency tables and/or distributions and measures of central tendency)
b. results from several statistical tests of your hypothesis that you conducted, (such as difference-of-means tests, bivariate regression, or multivariate regression)
c. a professional-looking presentation of your test results, (tables and/or figures)
d. a discussion of the policy implications and future research directions indicated by your findings

This paper uses a statistical test to report findings in variables and findings

This paper uses a statistical test to report findings in variables and findings in 2 correlations, two scatter plots, and one bivariate linear regression model. I am adding an example of how the paper should look, an overview of the paper, and two each types of tests to report for you to analyze and compare.
I am attaching documentation to support the report and findings. This is a sociology class focused on statistics.
Let me know if you need any clarification. All the information you need is in the documentation I am sending to you.
Thank you.

This paper uses a statistical test to report findings in variables and findings

This paper uses a statistical test to report findings in variables and findings in 2 correlations, two scatter plots, and one bivariate linear regression model. I am adding an example of how the paper should look, an overview of the paper, and two each types of tests to report for you to analyze and compare.

Comments from Customer
customer cannot pay for Medium task size, please apply if

Comments from Customer
customer cannot pay for Medium task size, please apply if you accept compensation

The Real Estate Data Analysis module assessment entails an end-of-the-module man

The Real Estate Data Analysis module assessment entails an end-of-the-module mandatory
2500-word research project. The project’s contents should align with a relevant research
question that should be presented in the introduction. using r studio
The project will cover all the areas of the module’s learning outcomes. The objective is for the
student to answer a relevant research question. The question has to be broadly related to
Real Estate and have an empirical and causal approach.

I need someone who knows queue theory to help me to solve hw questions. we are r

I need someone who knows queue theory to help me to solve hw questions. we are relying on this book until chapter 16: https://mecsenotes.weebly.com/uploads/4/7/6/5/47654023/1107027500.pdf
while solving, mention the source of where you get the answers (like page number and equation number). It is part of the solution

I have an exam on Wednesday 12/13/2023 at 8am over my Statistics course. It has

I have an exam on Wednesday 12/13/2023 at 8am over my Statistics course. It has word problems some fill in the blank and graph problems, it usually has around 30-50 questions and it’s time for 2 hours starting at 8am.
Comments from Customer
– Start date: 13 Dec, 8 AM (GMT -5), 3 PM (GMT +3)
– Duration: 120 min
– Format: 30-50 questions (fill in the blank and graph problems)
The customer has uploaded the practice questions for the upcoming exam and please check the topics of the chapters as questions will be related to them.

Your paper references Appendix Chart 3 often enough that it should have been inc

Your paper references Appendix Chart 3 often enough that it should have been included in your main write up. On that note, don’t just include snapshots of a Excel spreadsheet. You should include a summary table that is easy to read and follow.
Analysis does not respond to all of the posed questions in the case study. No discussion on how complaint homes compare to newspaper and sample data. No discussion on differences between newspaper and sample sets and the implications of the differences or factors for why it is not fair for sellers to compare their sale prices to the newspaper average.
How much of the variation is explained by agency alone?
What was your final model’s equation?
What was the predicted selling price of the complaint homes using your model? What was the difference between predicted price and actual?
Any violations of the assumptions of linear regression?
Comments from Customer
Hey,
I used the wrong instruction. This is the right instruction: Executive Summary:
The goal of this analysis is to develop admissions guidelines for the Kurtosis University MBA program (KUSB) that select the best students while ensuring a minimum enrollment of 100 students per year. The current admissions standards, based on minimum GMAT and UG GPA, are abandoned in favor of a formula suggested by Albert Razzick, the program director. The proposed formula includes additional variables such as undergraduate school, major, international status, and others. The success of students is defined as having an MBA GPA greater than 3.2 at the end of the first year. Now write a full report about it and make it as clear as possible.

Answer the questions under Part II, E through J on the Excel file.
Comparing Bra

Answer the questions under Part II, E through J on the Excel file.
Comparing Brand X with ACME – be sure to use the after adjustment/calibration columns for each one.
Please be sure to run the test in Excel and attach the Excel spreadsheet when completing Part II of the final.