Use this article link to answer questions below:https:/ews.gallup.com/poll/389954/racial-ethnic-divide-views-pandemic-healthcare.aspx

Remember the article that is used in the screenshot is just an example make sure you use the above article link to answer the questions below. Make sure you use the questions below to guide you.

Topic

Racial, Ethnic Divide in U.S. Views of Pandemic, Healthcare

Questions

1. How does americans feel about the way the U.S. is handling the pandemic?

1. How does americans feel about the state of healthcare in the U.S.?

1. How does views on the pandemic and healthcare differ by race and ethnicity?

Data I will collect:

1. How many americans feel the U.S. is doing a good job handling the pandemic?

1. How many americans feel the U.S. is doing a bad job handling the pandemic?

1. How many americans feel the state of healthcare in the U.S. is good?

1. How many americans feel the state of healthcare in the U.S. is bad?

1. How many americans of each race and ethnicity feel the U.S. is doing a good job handling the pandemic?

1. How many americans of each race and ethnicity feel the U.S. is doing a bad job handling the pandemic?

1. How many americans of each race and ethnicity feel the state of healthcare in the U.S. is good?

1. How many Americans of each race and ethnicity feel the state of healthcare in the U.S. is bad?

- Condence intervals 0 Based on the sample data nd the 90,95 and 99% Condence Intervals. (using = .667 - Hypothesis Testing a Run a 'Iproportion 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? 0 Using a demographic breakdown run a twosample hypothesis test to see if the rates between different demographic groups differ (think about age groups, educational levels, race, etc. 0 Repeat for the second group. - Regression Analysis 0 might any of your data be useful in a regression analysis? Why/why not? - Synopsis - writeup 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? Whyfwhy not? . Create a survey in google to collect data on the statistic (proportion that you choose to test). o 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 o 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 o Do the same using your proportion. I would use p = .667I am going to outline the project using the Will Smith/Christ Rock controversy from this spring. https://today.yougov.com/topics/entertainm reports/2022/03/28/will-smith-was-wrong- hit-chris-rock 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 o solve n*.61(1-.61) >=10 o n*.61*.39 >=10 o .2379n>=10 o 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)