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Using the demographics data, test if the actual proportion of counties that are considered inside a metro area is less than 44% at the 1%
Using the demographics data, test if the actual proportion of counties that are considered inside a metro area is less than 44% at the 1% significance level.
County | State | 2017 Population | Population Increasing | Poverty Percentage | Homeownership Percentage | Multi Unit Family Percentage | Unemployment Percentage | Metro | Median Household Income |
Coffee County | Alabama | 51874 | 1 | 16.1 | 69.7 | 13.6 | 4.39 | 0 | 49821 |
Covington County | Alabama | 37092 | 0 | 17.6 | 74 | 6.1 | 5.24 | 0 | 39467 |
Dallas County | Alabama | 39215 | 0 | 31.9 | 62.6 | 16 | 7.53 | 0 | 30065 |
Valdez-Cordova Census Area | Alaska | 9278 | 0 | 7.4 | 71.8 | 17.6 | 7.96 | 0 | 86019 |
St. Francis County | Arkansas | 25930 | 0 | 27.5 | 58.7 | 15.2 | 5.08 | 0 | 33102 |
Van Buren County | Arkansas | 16506 | 0 | 19.6 | 78.5 | 9.9 | 5.42 | 0 | 34428 |
Alameda County | California | 1663190 | 1 | 11.3 | 55.1 | 38 | 3.64 | 1 | 85743 |
El Dorado County | California | 188987 | 1 | 9.8 | 76.5 | 12.1 | 4.36 | 1 | 74885 |
Fresno County | California | 989255 | 1 | 25.4 | 55 | 25.8 | 8.47 | 1 | 48730 |
Kern County | California | 893119 | 1 | 22.6 | 61.4 | 18.1 | 9.21 | 1 | 50826 |
Los Angeles County | California | 10163507 | 1 | 17 | 48.2 | 41.8 | 4.69 | 1 | 61015 |
Tuolumne County | California | 54248 | 1 | 13.6 | 70.2 | 8.6 | 5.39 | 0 | 54325 |
Yuba County | California | 77031 | 1 | 18.5 | 59.8 | 17.8 | 7.44 | 1 | 51776 |
Montezuma County | Colorado | 26140 | 1 | 16.8 | 72.8 | 9.5 | 4 | 0 | 45645 |
Morgan County | Colorado | 28192 | 1 | 9.3 | 67.3 | 12.1 | 2.44 | 0 | 51456 |
San Miguel County | Colorado | 7967 | 1 | 10.5 | 64.3 | 40 | 2.85 | 0 | 62243 |
Alachua County | Florida | 266944 | 1 | 23.3 | 54.9 | 38 | 3.7 | 1 | 45478 |
Jenkins County | Georgia | 8767 | 0 | 30.7 | 75.8 | 2.1 | 6.83 | 0 | 27197 |
Montgomery County | Georgia | 9031 | 1 | 19.5 | 71.3 | 6.7 | 6.64 | 0 | 40308 |
Newton County | Georgia | 108078 | 1 | 16.7 | 76 | 8.7 | 5.32 | 1 | 52784 |
Crawford County | Illinois | 18961 | 0 | 11.9 | 80.4 | 9.5 | 5.18 | 0 | 47468 |
Gallatin County | Illinois | 5080 | 0 | 16.6 | 79 | 7.3 | 5.66 | 0 | 42450 |
Schuyler County | Illinois | 7035 | 0 | 21.5 | 78.8 | 5.8 | 4.41 | 0 | 47321 |
Benton County | Indiana | 8613 | 0 | 14.9 | 78.7 | 8 | 3.39 | 1 | 49183 |
LaPorte County | Indiana | 110029 | 0 | 16.6 | 75.4 | 16.5 | 4.47 | 1 | 49921 |
Montgomery County | Indiana | 38525 | 1 | 10.2 | 73.6 | 15.6 | 3.03 | 0 | 53075 |
Perry County | Indiana | 19081 | 0 | 14.5 | 78.2 | 9.3 | 3.81 | 0 | 49689 |
Lee County | Iowa | 34295 | 0 | 16.3 | 74.1 | 15.7 | 5.51 | 0 | 48266 |
Ringgold County | Iowa | 5034 | 1 | 10.9 | 79.2 | 6.7 | 3.08 | 0 | 50642 |
Warren County | Iowa | 50163 | 1 | 6.2 | 79.1 | 14.2 | 2.75 | 1 | 71514 |
Barton County | Kansas | 26476 | 0 | 15.7 | 74.1 | 8.1 | 3.62 | 0 | 46070 |
Doniphan County | Kansas | 7727 | 0 | 13.7 | 75.2 | 6.9 | 3.46 | 1 | 50300 |
Morris County | Kansas | 5455 | 0 | 9.8 | 77.6 | 7.4 | 3.12 | 0 | 50338 |
Wilson County | Kansas | 8675 | 0 | 16.8 | 76.2 | 8.6 | 4.7 | 0 | 44468 |
Boyle County | Kentucky | 29924 | 1 | 15.5 | 69 | 18.9 | 5.02 | 0 | 43076 |
Carter County | Kentucky | 27144 | 0 | 21.5 | 77.9 | 5.5 | 9.57 | 0 | 35095 |
Montgomery County | Kentucky | 27928 | 1 | 23 | 68.7 | 13.9 | 6.57 | 0 | 42172 |
Tensas Parish | Louisiana | 4615 | 0 | 38 | 60.1 | 3.6 | 8.4 | 0 | 21906 |
Lincoln County | Maine | 34204 | 1 | 11.8 | 85.7 | 6.5 | 3.23 | 0 | 54041 |
Washington County | Maine | 31593 | 0 | 18.2 | 76.2 | 8 | 4.91 | 0 | 40328 |
Charles County | Maryland | 159700 | 1 | 6.9 | 81.1 | 9.8 | 3.99 | 1 | 93973 |
Kent County | Maryland | 19384 | 0 | 13.1 | 71.8 | 12.6 | 4.48 | 0 | 56638 |
Midland County | Michigan | 83411 | 0 | 11.3 | 76.6 | 14.8 | 4.75 | 1 | 57117 |
Houston County | Minnesota | 18660 | 0 | 8.9 | 81.7 | 11.2 | 3.38 | 1 | 56837 |
Wilkin County | Minnesota | 6324 | 0 | 9.9 | 83 | 13.4 | 3.13 | 0 | 52917 |
Carroll County | Mississippi | 10139 | 0 | 14 | 81.4 | 3.2 | 5.81 | 0 | 43068 |
Tishomingo County | Mississippi | 19542 | 1 | 18.6 | 79.8 | 6.1 | 5 | 0 | 36672 |
Cedar County | Missouri | 14073 | 1 | 22.6 | 76.3 | 5.6 | 4.11 | 0 | 35930 |
Morgan County | Missouri | 20145 | 1 | 25.5 | 81.7 | 3.5 | 5 | 0 | 34776 |
Perry County | Missouri | 19225 | 1 | 8.2 | 78.1 | 7.3 | 2.7 | 0 | 54935 |
Phelps County | Missouri | 44744 | 0 | 20.4 | 65.5 | 19.2 | 3.81 | 0 | 41681 |
Platte County | Missouri | 101187 | 1 | 7.2 | 67.7 | 27.1 | 3.18 | 1 | 74199 |
Wayne County | Missouri | 13296 | 0 | 23.4 | 73.3 | 4.2 | 5.13 | 0 | 35135 |
Golden Valley County | Montana | 822 | 0 | 18.2 | 76 | 0 | 5 | 1 | 43854 |
Treasure County | Montana | 679 | 0 | 17 | 67.7 | 0.7 | 3.77 | 0 | 42454 |
Boone County | Nebraska | 5352 | 0 | 7.3 | 74.6 | 7.1 | 2.47 | 0 | 53854 |
Hayes County | Nebraska | 893 | 0 | 9 | 70.2 | 2.3 | 2.46 | 0 | 44946 |
Elko County | Nevada | 52649 | 1 | 11.5 | 71.1 | 15.9 | 3.7 | 0 | 76178 |
Cortland County | New York | 47786 | 0 | 14.7 | 66.3 | 30 | 5.87 | 0 | 52451 |
Saratoga County | New York | 229869 | 1 | 6.6 | 73.8 | 23.7 | 4.02 | 1 | 77548 |
Tioga County | New York | 48578 | 0 | 11.2 | 80 | 13.5 | 5.18 | 1 | 57153 |
Alexander County | North Carolina | 37286 | 1 | 14.7 | 79.9 | 2.2 | 3.67 | 1 | 44523 |
Alleghany County | North Carolina | 11031 | 1 | 21 | 74 | 6.2 | 5.16 | 0 | 38944 |
Divide County | North Dakota | 2288 | 0 | 13 | 81 | 7.3 | 1.66 | 0 | 54223 |
Sheridan County | North Dakota | 1353 | 1 | 15.4 | 86.1 | 4.4 | 4.53 | 0 | 49750 |
Stutsman County | North Dakota | 21087 | 0 | 11.1 | 68.7 | 24.3 | 2.32 | 0 | 56088 |
Athens County | Ohio | 66597 | 1 | 30.2 | 58.6 | 23.6 | 6.05 | 0 | 37191 |
Medina County | Ohio | 178371 | 1 | 6.2 | 81.8 | 13.4 | 4.73 | 1 | 71595 |
Caddo County | Oklahoma | 29173 | 0 | 20.8 | 71.6 | 7.1 | 4.49 | 0 | 41626 |
Jefferson County | Oklahoma | 6183 | 0 | 20.9 | 77.9 | 7.3 | 5.59 | 0 | 35933 |
Oglala Lakota County | South Dakota | 14354 | 1 | 12.2 | 51.3 | 3.8 | 4.9 | 0 | 42231 |
Polk County | Tennessee | 16757 | 1 | 17 | 80.7 | 4 | 4.56 | 1 | 42307 |
Anderson County | Texas | 57741 | 0 | 15.7 | 73.7 | 8 | 3.62 | 0 | 42313 |
Andrews County | Texas | 17722 | 1 | 11.9 | 79.9 | 9.5 | 3.06 | 0 | 70753 |
Brown County | Texas | 38053 | 1 | 16.4 | 72.5 | 10.2 | 3.84 | 0 | 43062 |
Dickens County | Texas | 2209 | 0 | 16.6 | 80.4 | 3.5 | 4.69 | 0 | 43088 |
Gaines County | Texas | 20638 | 1 | 11 | 73 | 6.3 | 3.03 | 0 | 58167 |
Hall County | Texas | 3071 | 0 | 22.2 | 67 | 8.8 | 6.2 | 0 | 31324 |
Hill County | Texas | 35852 | 1 | 17.5 | 76.5 | 5.5 | 3.88 | 0 | 45970 |
Howard County | Texas | 36040 | 0 | 13.9 | 68.9 | 11.6 | 4.3 | 0 | 50855 |
Hunt County | Texas | 93872 | 1 | 18.8 | 70.5 | 14.7 | 3.92 | 1 | 49319 |
Montgomery County | Texas | 570934 | 1 | 10.3 | 75.6 | 13.5 | 4.33 | 1 | 74323 |
Smith County | Texas | 227727 | 1 | 16.3 | 69.4 | 16.5 | 4.06 | 1 | 50742 |
Swisher County | Texas | 7515 | 0 | 22.2 | 69.3 | 8.4 | 4.06 | 0 | 37883 |
Tyler County | Texas | 21539 | 1 | 15.8 | 81.7 | 3.1 | 7.31 | 0 | 44396 |
Bath County | Virginia | 4297 | 0 | 9.3 | 87 | 0.9 | 3.3 | 0 | 44483 |
Charlotte County | Virginia | 12119 | 0 | 22.7 | 77.9 | 4.1 | 4.74 | 0 | 38350 |
Franklin County | Virginia | 56445 | 1 | 14.8 | 78.5 | 7.8 | 3.97 | 1 | 51208 |
Mecklenburg County | Virginia | 30686 | 0 | 16.9 | 75.1 | 4.4 | 5.25 | 0 | 41126 |
Wythe County | Virginia | 28882 | 0 | 15.2 | 77 | 7.2 | 5.21 | 0 | 46119 |
Chesapeake | Virginia | 240397 | 1 | 9.6 | 74.9 | 16.8 | 3.87 | 1 | 72214 |
Manassas Park | Virginia | 16591 | 1 | 10.3 | 71.2 | 16.6 | 3.35 | 1 | 79131 |
Poquoson | Virginia | 12053 | 0 | 4.9 | 84.8 | 6.1 | 3.49 | 1 | 88328 |
Hampshire County | West Virginia | 23471 | 0 | 16.9 | 67.6 | 5.1 | 3.93 | 1 | 36575 |
Mason County | West Virginia | 26801 | 0 | 19.3 | 78.1 | 6.9 | 6.7 | 0 | 38977 |
Calumet County | Wisconsin | 50067 | 1 | 5.9 | 83.6 | 13.3 | 2.77 | 1 | 70662 |
Vernon County | Wisconsin | 30759 | 1 | 16.6 | 79 | 10.3 | 3.07 | 0 | 49996 |
Waukesha County | Wisconsin | 400621 | 1 | 5 | 77.7 | 22.1 | 2.9 | 1 | 81140 |
Natrona County | Wyoming | 79547 | 0 | 9.9 | 70.4 | 15.8 | 5.31 | 1 | 59400 |
Calculate the test statistic (Round answer to 2 decimal places) Calculate the p-value (Round answer to 4 decimal places) This test statistic leads to a decision to
- reject the null
- accept the null
- fail to reject the null
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