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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.
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