Trump's Per Capita Share of Popular Death Rate per 100,000 people and Donald Trump's share of the popular vote. COVID State Death * Vote. A group of political activists noticed that hesitancy to get the vaccine for COVID-19 seems particularly strong in states that Donald Trump won in the 2020 presidential election. They wondered whether there is a correlation between the COVID-19 death rate per 100,000 people per state and Donald Trump's share of the popular vote in 2020 per the 50 states and District of Columbia. The death rate data was sorted from a Johns Hopkins University/CNN report. The Voting data was sourced from CNN. Alabama 330 62.0% Alaska Arizona Arkansas California 121 52.8% 49.0% 308 288 62.4% 189 34.3% Colorado Connecticut Delaware 162 41.9% 250 39.2% 224 39.8% District of Columbia 170 5.4% The data are on the right. The data are located in Assignment8_Spring22.xlsx. Florida 287 51.2% Georgia Hawaii Idaho 288 49.2% 73 34.3% Question 1: A Priori Statistical Power Before collecting the data, they decided to calculate a priori statistical power to determine how large a sample is needed to achieve 80% statistical power. 221 63.8% llinois 228 40.6% Indiana 262 57.0% 236 lowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska 53.1% 230 56.1% G*Power 247 62.1% Conduct an a priori power analysis using G*Power. (If you are not using a Windows or Macintosh computer use Statistics Kingdom to estimate sample size) Here are the setting for G*Power: Test family: t tests 319 58.5% 99 44.0% 186 32.1% 282 32.1% 258 47.8% Statistical test: Correlation: Point biserial model 172 45.3% Type of power analysis: A priori: Compute required sample size.. 346 57.5% Tails: Two 253 53.8% 53.9% Effect size |p|: 0.40 a err prob: 0.05 Power (1-ß prob): 0.8 256 164 58.2% Nevada 161 47.7% New Hampshire New Jersey New Mexico 127 45.4% 320 41.3% a. What is the required sample size? 257 43.5% New York North Carolina North Dakota 296 37.7% 179 49.9% 255 65.1% b. What level of statistical power will be achieved? Round off your answer to four digits passed the decimal point. Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota 227 53.3% 302 65.4% 124 40.4% 263 48.8% 277 38.6% Using data from 50 states and the District of Columbia, do they have a sufficiently large sample size to achieve 80% power assuming that the coefficient of correlation is the population equal 0.40? Please an "X" in the 277 55.1% 266 61.8% Tennessee |Техas Utah Vermont Virginia Washington West Virginia Wisconsin 253 60.7% 255 52.1% appropriate box: 111 58.1% Yes No 66 30.7% 173 44.0% 123 38.8% 276 68.6% 173 48.8% Wuoming 247 69 A%
Trump's Per Capita Share of Popular Death Rate per 100,000 people and Donald Trump's share of the popular vote. COVID State Death * Vote. A group of political activists noticed that hesitancy to get the vaccine for COVID-19 seems particularly strong in states that Donald Trump won in the 2020 presidential election. They wondered whether there is a correlation between the COVID-19 death rate per 100,000 people per state and Donald Trump's share of the popular vote in 2020 per the 50 states and District of Columbia. The death rate data was sorted from a Johns Hopkins University/CNN report. The Voting data was sourced from CNN. Alabama 330 62.0% Alaska Arizona Arkansas California 121 52.8% 49.0% 308 288 62.4% 189 34.3% Colorado Connecticut Delaware 162 41.9% 250 39.2% 224 39.8% District of Columbia 170 5.4% The data are on the right. The data are located in Assignment8_Spring22.xlsx. Florida 287 51.2% Georgia Hawaii Idaho 288 49.2% 73 34.3% Question 1: A Priori Statistical Power Before collecting the data, they decided to calculate a priori statistical power to determine how large a sample is needed to achieve 80% statistical power. 221 63.8% llinois 228 40.6% Indiana 262 57.0% 236 lowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska 53.1% 230 56.1% G*Power 247 62.1% Conduct an a priori power analysis using G*Power. (If you are not using a Windows or Macintosh computer use Statistics Kingdom to estimate sample size) Here are the setting for G*Power: Test family: t tests 319 58.5% 99 44.0% 186 32.1% 282 32.1% 258 47.8% Statistical test: Correlation: Point biserial model 172 45.3% Type of power analysis: A priori: Compute required sample size.. 346 57.5% Tails: Two 253 53.8% 53.9% Effect size |p|: 0.40 a err prob: 0.05 Power (1-ß prob): 0.8 256 164 58.2% Nevada 161 47.7% New Hampshire New Jersey New Mexico 127 45.4% 320 41.3% a. What is the required sample size? 257 43.5% New York North Carolina North Dakota 296 37.7% 179 49.9% 255 65.1% b. What level of statistical power will be achieved? Round off your answer to four digits passed the decimal point. Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota 227 53.3% 302 65.4% 124 40.4% 263 48.8% 277 38.6% Using data from 50 states and the District of Columbia, do they have a sufficiently large sample size to achieve 80% power assuming that the coefficient of correlation is the population equal 0.40? Please an "X" in the 277 55.1% 266 61.8% Tennessee |Техas Utah Vermont Virginia Washington West Virginia Wisconsin 253 60.7% 255 52.1% appropriate box: 111 58.1% Yes No 66 30.7% 173 44.0% 123 38.8% 276 68.6% 173 48.8% Wuoming 247 69 A%
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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