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%

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Question
100%
Death Rate per 100,000 people and Donald Trump's share of the popular
Trump's
Per Capita Share of
vote.
COVID
Popular
Death
330
State
Alabama
Alaska
Arizona
Arkansas
California
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.
62.0%
52.8%
121
308
49.0%
288
62.4%
189
34.3%
Colorado
Connecticut
Delaware
District of Columbia
Florida
162
41.9%
250
39.2%
224
39.8%
170
5.4%
The data are on the right. The data are located in Assignment8_Spring22.xlsx.
51.2%
287
Georgia
288
49.2%
Hawaii
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.
Idaho
221
63.8%
llinois
Indiana
228
40.6%
262
57.0%
lowa
236
53.1%
G*Power
Kansas
230
56.1%
Kentucky
Louisiana
Maine
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%
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
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%
Effect size |p|: 0.40
a err prob: 0.05
Power (1-ß prob): 0.8
Montana
256
53.9%
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
164
58.2%
161
47.7%
127
45.4%
320
41.3%
a. What is the required sample size?
257
43.5%
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
227
53.3%
302
65.4%
Oregon
Pennsylvania
Rhode Island
South Carolina
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
appropriate box:
277
55.1%
South Dakota
266
61.8%
Tennessee
253
60.7%
Техas
255
52.1%
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
111
58.1%
Yes
No
66
30.7%
173
44.0%
123
38.8%
276
68.6%
173
48.8%
247
69.9%
Transcribed Image Text:Death Rate per 100,000 people and Donald Trump's share of the popular Trump's Per Capita Share of vote. COVID Popular Death 330 State Alabama Alaska Arizona Arkansas California 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. 62.0% 52.8% 121 308 49.0% 288 62.4% 189 34.3% Colorado Connecticut Delaware District of Columbia Florida 162 41.9% 250 39.2% 224 39.8% 170 5.4% The data are on the right. The data are located in Assignment8_Spring22.xlsx. 51.2% 287 Georgia 288 49.2% Hawaii 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. Idaho 221 63.8% llinois Indiana 228 40.6% 262 57.0% lowa 236 53.1% G*Power Kansas 230 56.1% Kentucky Louisiana Maine 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% Maryland Massachusetts Michigan Minnesota Mississippi Missouri 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% Effect size |p|: 0.40 a err prob: 0.05 Power (1-ß prob): 0.8 Montana 256 53.9% Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota 164 58.2% 161 47.7% 127 45.4% 320 41.3% a. What is the required sample size? 257 43.5% 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 227 53.3% 302 65.4% Oregon Pennsylvania Rhode Island South Carolina 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 appropriate box: 277 55.1% South Dakota 266 61.8% Tennessee 253 60.7% Техas 255 52.1% Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming 111 58.1% Yes No 66 30.7% 173 44.0% 123 38.8% 276 68.6% 173 48.8% 247 69.9%
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