In: Statistics and Probability
county | state | college | income | white | black |
Crawford | IN | 5.7 | 23307 | 99.53601 | 0.090781 |
Orange | IN | 6 | 24813 | 98.9353 | 0.68988 |
Scott | IN | 6.6 | 25542 | 99.32829 | 0.076223 |
Starke | IN | 6 | 26525 | 98.67675 | 0.320921 |
Washington | IN | 6.8 | 26564 | 99.61209 | 0.096977 |
Daviess | IN | 7.6 | 27074 | 99.41525 | 0.359569 |
Owen | IN | 7.1 | 27207 | 99.34032 | 0.254615 |
Sullivan | IN | 10 | 27260 | 99.53667 | 0.078976 |
Greene | IN | 9.9 | 27426 | 99.46728 | 0.032884 |
Miami | IN | 9.7 | 27435 | 94.27325 | 3.021926 |
Switzerland | IN | 5.6 | 27608 | 99.4443 | 0.193849 |
Martin | IN | 8.6 | 27628 | 99.53708 | 0.11573 |
Jay | IN | 8.2 | 27720 | 99.07494 | 0.139457 |
Knox | IN | 11.1 | 27732 | 98.05185 | 1.218534 |
Wayne | IN | 11.3 | 27905 | 93.85832 | 5.274423 |
Pike | IN | 8.5 | 27927 | 99.68023 | 0.023983 |
Union | IN | 8.4 | 27975 | 99.12557 | 0.286697 |
Randolph | IN | 8.6 | 28551 | 99.25961 | 0.206277 |
Perry | IN | 6.8 | 28666 | 98.4927 | 1.099074 |
Clay | IN | 9.8 | 28727 | 99.25926 | 0.457397 |
Fountain | IN | 7.6 | 28770 | 99.53954 | 0.022462 |
Jennings | IN | 6.5 | 28787 | 98.67292 | 0.88331 |
Parke | IN | 10.1 | 28921 | 98.78001 | 0.765737 |
Vermillion | IN | 7.8 | 29100 | 99.50516 | 0.089429 |
Warren | IN | 9.4 | 29271 | 99.55968 | 0.012231 |
Rush | IN | 8.7 | 29395 | 98.74235 | 0.783275 |
Jefferson | IN | 13.3 | 29608 | 97.93268 | 1.218243 |
Lagrange | IN | 7.3 | 29843 | 98.91102 | 0.149269 |
Vigo | IN | 18.1 | 29871 | 92.74694 | 5.575504 |
Fulton | IN | 9.4 | 30000 | 98.48726 | 0.801486 |
Lawrence | IN | 9.4 | 30105 | 99.29965 | 0.254459 |
Blackford | IN | 8.9 | 30125 | 99.36732 | 0.049762 |
Jackson | IN | 8.7 | 30191 | 98.83117 | 0.365757 |
Pulaski | IN | 8.9 | 30276 | 98.94012 | 0.514118 |
Ohio | IN | 6 | 30279 | 98.87112 | 0.771402 |
White | IN | 10.7 | 30459 | 99.40684 | 0.008597 |
Fayette | IN | 8.1 | 30543 | 97.87431 | 1.672112 |
Henry | IN | 9.2 | 30579 | 98.56042 | 0.984649 |
Benton | IN | 9.2 | 30935 | 99.44921 | 0.063553 |
Wabash | IN | 11.7 | 31030 | 98.26913 | 0.39351 |
Cass | IN | 9 | 31049 | 98.31307 | 0.859084 |
Grant | IN | 11.2 | 31050 | 91.43578 | 6.80473 |
Clinton | IN | 11 | 31070 | 98.97656 | 0.116227 |
Harrison | IN | 8.4 | 31160 | 99.16695 | 0.414854 |
Ripley | IN | 9.8 | 31715 | 99.53282 | 0.064998 |
Delaware | IN | 16.5 | 31724 | 92.95749 | 5.98952 |
Franklin | IN | 8.2 | 31770 | 99.57099 | 0.051073 |
Marshall | IN | 12.3 | 31792 | 98.40216 | 0.180172 |
Putnam | IN | 11.3 | 31892 | 96.30876 | 2.724724 |
Gibson | IN | 9.1 | 32080 | 97.59659 | 1.867577 |
Clark | IN | 11.2 | 32172 | 93.7478 | 5.357895 |
Jasper | IN | 10.8 | 32288 | 98.79407 | 0.444712 |
Decatur | IN | 9.7 | 32312 | 99.14993 | 0.16494 |
Adams | IN | 10.7 | 32314 | 98.18299 | 0.115774 |
Brown | IN | 15.2 | 32405 | 99.20454 | 0.09233 |
Newton | IN | 8.1 | 32513 | 99.15135 | 0.066416 |
Vanderburgh | IN | 16 | 32558 | 91.61385 | 7.518569 |
Carroll | IN | 10 | 32816 | 99.52682 | 0.101015 |
Monroe | IN | 32.9 | 32859 | 94.28692 | 2.601443 |
Floyd | IN | 15.1 | 33085 | 95.35899 | 4.10223 |
La Porte | IN | 11.7 | 33198 | 89.93144 | 8.947752 |
Montgomery | IN | 12.8 | 33311 | 98.64967 | 0.583691 |
Madison | IN | 11.7 | 33332 | 91.63153 | 7.553437 |
Huntington | IN | 11.8 | 33402 | 98.82858 | 0.146781 |
Spencer | IN | 9.2 | 33618 | 98.99949 | 0.569523 |
Noble | IN | 8 | 33757 | 98.8885 | 0.153127 |
Steuben | IN | 12.5 | 33882 | 98.90694 | 0.185819 |
St. Joseph | IN | 19.2 | 34206 | 87.82928 | 9.791461 |
Shelby | IN | 9.9 | 34422 | 98.60074 | 0.818716 |
De Kalb | IN | 9.9 | 34853 | 99.10825 | 0.104745 |
Marion | IN | 21.4 | 35054 | 77.15387 | 21.28233 |
Elkhart | IN | 14.2 | 35152 | 93.79442 | 4.549354 |
Whitley | IN | 8.8 | 35457 | 99.35626 | 0.104879 |
Kosciusko | IN | 14.4 | 35548 | 98.10703 | 0.473244 |
Lake | IN | 12.8 | 35604 | 70.27065 | 24.53521 |
Dearborn | IN | 10.7 | 35711 | 98.98288 | 0.648899 |
Wells | IN | 12.1 | 36001 | 99.26777 | 0.038539 |
Tippecanoe | IN | 30.7 | 36073 | 93.42639 | 2.036785 |
Tipton | IN | 9.8 | 36127 | 99.1997 | 0.062039 |
Bartholomew | IN | 16.9 | 36195 | 97.04196 | 1.578774 |
Dubois | IN | 10.9 | 36293 | 99.59034 | 0.090125 |
Posey | IN | 11 | 36333 | 98.53666 | 1.089803 |
Morgan | IN | 10 | 36462 | 99.49034 | 0.016094 |
Howard | IN | 14.3 | 36902 | 93.3104 | 5.441251 |
Allen | IN | 19 | 37866 | 87.78404 | 10.07659 |
Warrick | IN | 16.2 | 38375 | 98.56189 | 0.825913 |
Johnson | IN | 16.7 | 39687 | 98.12278 | 0.959039 |
Boone | IN | 22.2 | 40485 | 99.12706 | 0.217579 |
Hancock | IN | 14.9 | 41887 | 99.22244 | 0.096646 |
Porter | IN | 18.5 | 41929 | 97.98111 | 0.352124 |
Hendricks | IN | 18.2 | 44257 | 98.41779 | 0.904685 |
Hamilton | IN | 36.2 | 51167 | 98.00617 | 0.620548 |
I need Confidence of intervals using this data and how to implement it in excel!!!!
Minimum.
county |
state |
college |
income |
white |
black |
Crawford |
IN |
5.7 |
23307 |
99.53601 |
0.090781 |
Orange |
IN |
6 |
24813 |
98.9353 |
0.68988 |
Scott |
IN |
6.6 |
25542 |
99.32829 |
0.076223 |
Starke |
IN |
6 |
26525 |
98.67675 |
0.320921 |
Washington |
IN |
6.8 |
26564 |
99.61209 |
0.096977 |
Daviess |
IN |
7.6 |
27074 |
99.41525 |
0.359569 |
Owen |
IN |
7.1 |
27207 |
99.34032 |
0.254615 |
Sullivan |
IN |
10 |
27260 |
99.53667 |
0.078976 |
Greene |
IN |
9.9 |
27426 |
99.46728 |
0.032884 |
Miami |
IN |
9.7 |
27435 |
94.27325 |
3.021926 |
Switzerland |
IN |
5.6 |
27608 |
99.4443 |
0.193849 |
Martin |
IN |
8.6 |
27628 |
99.53708 |
0.11573 |
Jay |
IN |
8.2 |
27720 |
99.07494 |
0.139457 |
Knox |
IN |
11.1 |
27732 |
98.05185 |
1.218534 |
Wayne |
IN |
11.3 |
27905 |
93.85832 |
5.274423 |
Pike |
IN |
8.5 |
27927 |
99.68023 |
0.023983 |
Union |
IN |
8.4 |
27975 |
99.12557 |
0.286697 |
Randolph |
IN |
8.6 |
28551 |
99.25961 |
0.206277 |
Perry |
IN |
6.8 |
28666 |
98.4927 |
1.099074 |
Clay |
IN |
9.8 |
28727 |
99.25926 |
0.457397 |
Fountain |
IN |
7.6 |
28770 |
99.53954 |
0.022462 |
Jennings |
IN |
6.5 |
28787 |
98.67292 |
0.88331 |
Parke |
IN |
10.1 |
28921 |
98.78001 |
0.765737 |
Vermillion |
IN |
7.8 |
29100 |
99.50516 |
0.089429 |
Warren |
IN |
9.4 |
29271 |
99.55968 |
0.012231 |
Rush |
IN |
8.7 |
29395 |
98.74235 |
0.783275 |
Jefferson |
IN |
13.3 |
29608 |
97.93268 |
1.218243 |
Lagrange |
IN |
7.3 |
29843 |
98.91102 |
0.149269 |
Vigo |
IN |
18.1 |
29871 |
92.74694 |
5.575504 |
Fulton |
IN |
9.4 |
30000 |
98.48726 |
0.801486 |
Lawrence |
IN |
9.4 |
30105 |
99.29965 |
0.254459 |
Blackford |
IN |
8.9 |
30125 |
99.36732 |
0.049762 |
Jackson |
IN |
8.7 |
30191 |
98.83117 |
0.365757 |
Pulaski |
IN |
8.9 |
30276 |
98.94012 |
0.514118 |
Ohio |
IN |
6 |
30279 |
98.87112 |
0.771402 |
White |
IN |
10.7 |
30459 |
99.40684 |
0.008597 |
Fayette |
IN |
8.1 |
30543 |
97.87431 |
1.672112 |
Henry |
IN |
9.2 |
30579 |
98.56042 |
0.984649 |
Benton |
IN |
9.2 |
30935 |
99.44921 |
0.063553 |
Wabash |
IN |
11.7 |
31030 |
98.26913 |
0.39351 |
Cass |
IN |
9 |
31049 |
98.31307 |
0.859084 |
Grant |
IN |
11.2 |
31050 |
91.43578 |
6.80473 |
Clinton |
IN |
11 |
31070 |
98.97656 |
0.116227 |
Harrison |
IN |
8.4 |
31160 |
99.16695 |
0.414854 |
Ripley |
IN |
9.8 |
31715 |
99.53282 |
0.064998 |
Delaware |
IN |
16.5 |
31724 |
92.95749 |
5.98952 |
Franklin |
IN |
8.2 |
31770 |
99.57099 |
0.051073 |
Marshall |
IN |
12.3 |
31792 |
98.40216 |
0.180172 |
Putnam |
IN |
11.3 |
31892 |
96.30876 |
2.724724 |
Gibson |
IN |
9.1 |
32080 |
97.59659 |
1.867577 |
Clark |
IN |
11.2 |
32172 |
93.7478 |
5.357895 |
Jasper |
IN |
10.8 |
32288 |
98.79407 |
0.444712 |
Decatur |
IN |
9.7 |
32312 |
99.14993 |
0.16494 |
Adams |
IN |
10.7 |
32314 |
98.18299 |
0.115774 |
Brown |
IN |
15.2 |
32405 |
99.20454 |
0.09233 |
Newton |
IN |
8.1 |
32513 |
99.15135 |
0.066416 |
Vanderburgh |
IN |
16 |
32558 |
91.61385 |
7.518569 |
Carroll |
IN |
10 |
32816 |
99.52682 |
0.101015 |
Monroe |
IN |
32.9 |
32859 |
94.28692 |
2.601443 |
Floyd |
IN |
15.1 |
33085 |
95.35899 |
4.10223 |
La Porte |
IN |
11.7 |
33198 |
89.93144 |
8.947752 |
Montgomery |
IN |
12.8 |
33311 |
98.64967 |
0.583691 |
Madison |
IN |
11.7 |
33332 |
91.63153 |
7.553437 |
Huntington |
IN |
11.8 |
33402 |
98.82858 |
0.146781 |
Spencer |
IN |
9.2 |
33618 |
98.99949 |
0.569523 |
Noble |
IN |
8 |
33757 |
98.8885 |
0.153127 |
Steuben |
IN |
12.5 |
33882 |
98.90694 |
0.185819 |
St. Joseph |
IN |
19.2 |
34206 |
87.82928 |
9.791461 |
Shelby |
IN |
9.9 |
34422 |
98.60074 |
0.818716 |
De Kalb |
IN |
9.9 |
34853 |
99.10825 |
0.104745 |
Marion |
IN |
21.4 |
35054 |
77.15387 |
21.28233 |
Elkhart |
IN |
14.2 |
35152 |
93.79442 |
4.549354 |
Whitley |
IN |
8.8 |
35457 |
99.35626 |
0.104879 |
Kosciusko |
IN |
14.4 |
35548 |
98.10703 |
0.473244 |
Lake |
IN |
12.8 |
35604 |
70.27065 |
24.53521 |
Dearborn |
IN |
10.7 |
35711 |
98.98288 |
0.648899 |
Wells |
IN |
12.1 |
36001 |
99.26777 |
0.038539 |
Tippecanoe |
IN |
30.7 |
36073 |
93.42639 |
2.036785 |
Tipton |
IN |
9.8 |
36127 |
99.1997 |
0.062039 |
Bartholomew |
IN |
16.9 |
36195 |
97.04196 |
1.578774 |
Dubois |
IN |
10.9 |
36293 |
99.59034 |
0.090125 |
Posey |
IN |
11 |
36333 |
98.53666 |
1.089803 |
Morgan |
IN |
10 |
36462 |
99.49034 |
0.016094 |
Howard |
IN |
14.3 |
36902 |
93.3104 |
5.441251 |
Allen |
IN |
19 |
37866 |
87.78404 |
10.07659 |
Warrick |
IN |
16.2 |
38375 |
98.56189 |
0.825913 |
Johnson |
IN |
16.7 |
39687 |
98.12278 |
0.959039 |
Boone |
IN |
22.2 |
40485 |
99.12706 |
0.217579 |
Hancock |
IN |
14.9 |
41887 |
99.22244 |
0.096646 |
Porter |
IN |
18.5 |
41929 |
97.98111 |
0.352124 |
Hendricks |
IN |
18.2 |
44257 |
98.41779 |
0.904685 |
Hamilton |
IN |
36.2 |
51167 |
98.00617 |
0.620548 |
Confidence interval= |
10.5624129619162±12.794108777214 |
31247.1061312821±33075.7199556745 |
96.2825119483177±98.1317645734215 |
1.07569444518343±2.70497562003396 |
|
We used excel for finding the confidence interval : Step-1: you select analytic tool in excel Step-2: select descriptive option in the analytic tool Step-3: click on the confidence interval |
|||||
Descriptives |
|||||
Statistic |
Std. Error |
||||
college |
Mean |
11.678261 |
.5617503 |
||
95% Confidence Interval for Mean |
Lower Bound |
10.562413 |
|||
Upper Bound |
12.794109 |
||||
5% Trimmed Mean |
11.022464 |
||||
Median |
10.000000 |
||||
Variance |
29.032 |
||||
Std. Deviation |
5.3881193 |
||||
Minimum |
5.6000 |
||||
Maximum |
36.2000 |
||||
Range |
30.6000 |
||||
Interquartile Range |
4.2000 |
||||
Skewness |
2.378 |
.251 |
|||
Kurtosis |
7.252 |
.498 |
|||
income |
Mean |
32161.41 |
460.289 |
||
95% Confidence Interval for Mean |
Lower Bound |
31247.11 |
|||
Upper Bound |
33075.72 |
||||
5% Trimmed Mean |
31874.32 |
||||
Median |
31747.00 |
||||
Variance |
19491641.278 |
||||
Std. Deviation |
4414.934 |
||||
Minimum |
23307 |
||||
Maximum |
51167 |
||||
Range |
27860 |
||||
Interquartile Range |
5780 |
||||
Skewness |
1.230 |
.251 |
|||
Kurtosis |
3.183 |
.498 |
|||
white |
Mean |
97.207138 |
.4654838 |
||
95% Confidence Interval for Mean |
Lower Bound |
96.282512 |
|||
Upper Bound |
98.131765 |
||||
5% Trimmed Mean |
97.921142 |
||||
Median |
98.829875 |
||||
Variance |
19.934 |
||||
Std. Deviation |
4.4647634 |
||||
Minimum |
70.2707 |
||||
Maximum |
99.6802 |
||||
Range |
29.4096 |
||||
Interquartile Range |
1.3469 |
||||
Skewness |
-3.809 |
.251 |
|||
Kurtosis |
17.941 |
.498 |
|||
black |
Mean |
1.890335 |
.4101138 |
||
95% Confidence Interval for Mean |
Lower Bound |
1.075694 |
|||
Upper Bound |
2.704976 |
||||
5% Trimmed Mean |
1.241338 |
||||
Median |
.429783 |
||||
Variance |
15.474 |
||||
Std. Deviation |
3.9336729 |
||||
Minimum. |
|||||
Maximum |
24.5352 |
||||
Range |
24.5266 |
||||
Interquartile Range |
1.1137 |
||||
Skewness |
3.833 |
.251 |
|||
Kurtosis |
17.455 |
.498 |