Question

Assignment Chapter 2

The dataset below contains information on the 50 states in the US, including 2 categorical and 13 quantitative variables. In the questions that follow, I ask you to use technology to do some analysis of this dataset.

1. What are the cases? What is the sample size?
2. Choose one of the two categorical variables and create a frequency table and a relative frequency table of the values..
3. Choose one of the quantitative variables and use technology to create a histogram. Describe the shape of the histogram. For the same variable, create a boxplot. Are there any outliers? Finally, for the same variable, give summary statistics: mean, standard deviation, and the five number summary.
4. Choose any quantitative variable and any categorical variable and create a sideby-side boxplot. Describe what you see in the graph, and discuss any association that might exist between variables, as evidenced by the graph.
5. Create a two-way table of the two categorical variables. Find appropriate proportions to help you determine if there is an association between the two variables, and explain your reasoning.
6. Choose any two quantitative variables and use technology to create a scatterplot. Describe the scatterplot: Is there an obvious positive or negative linear trend? Are there any outliers? Use technology to find the correlation and the least squares line to predict one variable from the other. Interpret the slope of the line in context.

State	HouseholdI ncome	IQ	McCain Vote	Region	Obama McCain	Population	HighSchool	GSP
Alabama	38160	95.7	0.604	S	M	4.525375	82.4	33264
Alaska	57071	99	0.602	W	M	0.657755	90.2	59238
Arizona	46693	97.4	0.538	W	M	5.739879	84.4	36457
Arkansas	37458	97.5	0.588	S	M	2.75	79.2	31215
California	54385	95.5	0.372	W	O	35.842038	81.3	44894
Colorado	53900	101.6	0.449	W	O	4.601821	88.3	46416
Connecticut	60551	103.1	0.383	NE	O	3.498966	88.8	55193
Delaware	52676	100.4	0.37	NE	O	0.830069	86.5	66961
Florida	45038	98.4	0.484	S	O	17.38543	85.9	37846
Georgia	48388	98	0.522	S	M	8.918129	85.2	40103
Hawaii	61005	95.6	0.266	W	O	1.262124	88.0	42361
Idaho	45919	101.4	0.615	W	M	1.39514	87.9	33020
Illinois	49328	99.9	0.369	MW	O	12.712016	86.8	43878
Indiana	44618	101.7	0.49	MW	O	6.226537	87.2	38037
Iowa	48075	103.2	0.447	MW	O	2.952904	89.8	38280
Kansas	44478	102.8	0.568	MW	M	2.733697	89.6	38465
Kentucky	38694	99.4	0.575	MW	M	4.141835	81.8	33666
Louisiana	37472	95.3	0.586	S	M	4.506685	78.7	37183
Maine	45503	103.4	0.405	NE	O	1.314985	87.1	34030
Maryland	63082	99.7	0.368	NE	O	5.561332	87.4	43967
Massachusetts	56592	104.3	0.362	NE	O	6.407382	86.9	50935
Michigan	48043	100.5	0.409	MW	O	10.104206	87.9	37175
Minnesota	56102	103.7	0.44	MW	O	5.096546	92.3	45697
Mississippi	34343	94.2	0.564	S	M	2.900768	83.0	27829
Missouri	44487	101	0.494	MW	M	5.759532	87.9	37251
Montana	39821	103.4	0.497	W	M	0.92692	91.9	31940
Nebraska	48820	102.3	0.57	MW	M	1.747704	91.3	40185
Nevada	51036	96.5	0.427	W	O	2.332898	86.3	46108
New Hampshire	60441	104.2	0.448	NE	O	1.299169	90.8	42033
New Jersey	66752	102.8	0.421	NE	O	8.685166	87.6	49447
New Mexico	40126	95.7	0.42	W	O	1.903006	82.9	35714
New York	48472	100.7	0.367	NE	O	19.280727	85.4	49748
North Carolina	41616	100.2	0.495	S	O	8.540468	80.9	39921
North Dakota	42311	103.8	0.533	MW	M	0.636308	89.5	38319
Ohio	45776	101.8	0.472	MW	O	11.450143	88.1	38461
Oklahoma	38859	99.3	0.656	S	M	3.523546	85.2	34243
Oregon	46349	101.2	0.408	W	O	3.591363	87.4	39625
Pennsylvania	48148	101.5	0.443	NE	O	12.394471	86.5	39344
Rhode Island	52421	99.5	0.353	NE	O	1.079916	81.1	40687
South Carolina	40583	98.4	0.538	S	M	4.197892	83.6	32906
South Dakota	44996	102.8	0.532	MW	M	0.770621	87.5	39848
Tennessee	40696	97.7	0.569	S	M	5.893298	82.9	38440
Texas	43044	100	0.555	S	M	22.471549	78.3	43283
Utah	55619	101.1	0.629	W	M	2.420708	91.0	36758

Answer 1