The final projects need to include at least two charts and calculations done on both quantitative and qualitative data. While you should test the obvious hypotheses from these articles you need to collect enough data to dig down a little deeper.
my assigned project is the COVID-19 Pandemic Continues To Reshape Work in America.
my project information is in the downloads, use that to get tge information needed for this project and also make calculations. Thank you!!
For example:
The statistic indicates that 61% of people thought it was wrong for Will Smith to hit Chris Rock at the Oscars.
•Background info
•Write-up a brief overview of the article and what you decided to collect data on and why.
2 charts that tell a story about your data – they should not only be on the main statistic of the article, but a visual story of how other demographic information influences the main statistic.
•Use the formula n*p(1-p) >= 10 to determine your minimum sample size. The p is the proportion from the article that you chose.
Example – from the article p = .61
solve n*.61(1-.61) >=10
n*.61*.39 >=10
.2379n>=10
n > 42.03. The minimum sample size (# of people) that you will collect data from is at least 43 (always round up to the next whole number)
•Create a survey in google to collect data on the statistic (proportion that you choose to test).
The survey question(s) should need to include two pieces of demographic data as well as the the question you are testing
For example my questions would be
Do you think it was wrong for Will Smith to hit Chris Rock at the Oscars? Y/N
What is you gender? M/F/Non-binary/prefer not to say
How old are you?
These last two questions will let me run a comparison test using two proportions later in the project. You could ask about political affiliation/gender/age/where they live – ie urban or suburban environment. You just want to ask something that relates to the question asked.
For the example let’s say I had 60 responses and 40 of them indicated it was wrong. My p-hat (sample proportion would be 40/60 = .667
•Binomial Probabilities
using the proportion from the article find the probability that out of a group of 65 people that exactly 30, less than 25, between 50&60 people agree with the given statistic. [HINT: BINOMIAL DISTRIBUTION] for this question I would use p = .61
Do the same using your proportion. I would use
= .667
•Confidence intervals
Based on the sample data find the 90,95 and 99% Confidence Intervals. (using
= .667
•Hypothesis Testing
Run a 1-proportion hypothesis test between your calculated statistic and the one from the article. How would your calculated p-value differ (if at all) at the .01, .05, .1 levels of alpha?
Using a demographic breakdown run a two-sample hypothesis test to see if the rates between different demographic groups differ (think about age groups, educational levels, race, etc.
Repeat for the second group.
•Regression Analysis
might any of your data be useful in a regression analysis? Why/why not?
•Synopsis
•write-up any takeaways from this project – was there a price of data that could have been collected differently? What differences might you make in how you collected data were you to do this project again. Was your sample representative of the entire population? Why/why not?