Use the data "fl_student_survey" to complete the following analysis.

a) Using the variable "political_affiliation":

i) Obtain a bar plot.

ii) State the modal category.

b) Using the variables "gender" and "political_affiliation":

i) Obtain a bar plot with "gender" grouped by "political_affiliation."

ii) What type of variables are "political_affiliation" and "gender?"

iii) From your chart, complete the following statements.

"Males in this study are most likely to identify as ___________________."

"Females in this study are least likely to identify as ____________________."

c) Using the variable "distance_home":

i) Obtain a histogram.

ii) Discuss the general shape of the distribution.

iii) Obtain the mean, median, standard deviation, range, and five number summary for the data.

iv) Obtain a stem-and-leaf diagram.

v) Obtain a boxplot.

vi) Use your boxplot to identify any potential outliers.

vii) Would the mean or the median be a better measure of center to use for this data? Explain.

d) Using the variables "college_GPA" and "gender":

i) Obtain a side by side boxplot with "college_GPA" grouped by "gender."

ii) Discuss any association between these two variables.

e) Using the variables "high_school_GPA" and "college_GPA":

i) Obtain a scatterplot using "high_school_GPA" on the x-axis and "college_GPA" on the y-axis.

ii) Obtain the correlation coefficient.

iii) Discuss any association / relationship between these two variables (including strength of

association and whether it is a positive or negative correlation).

2. Use the data "us_statewide_crime" to complete the following analysis.

a) Using the variables "unemployed" and "murder rate":

i) Obtain a scatterplot using "unemployed" on the x-axis and "murder rate" on the y-axis.

ii) Obtain the correlation coefficient.

iii) Discuss any association / relationship between these two variables (including strength of

association and whether it is a positive or negative correlation).

iv) Obtain the prediction equation.

v) Calculate the residual for Alaska.

vi) Is DC a regression outlier? Explain why or why not.

vii) Is DC an influential outlier? Explain why or why not. viii) Obtain the prediction equation if DC is removed from the data. 3. A salesperson uses random digit dialing to call people and try to interest them in applying for a charge card for a large department store chain. From past experience, he is successful on 5% of his calls. On a typical working day he makes 250 calls. Let X be the number of calls on which he is successful. a) Use StatCrunch to find the probability that on a given day he has i) Exactly 20 successful calls ii) More than 20 successful calls Note: Include StatCrunch printouts iii) Between 10 and 15 (inclusive) successful calls iv) Less than 6 successful calls b) Explain why the x-scale for this distribution does not extend out to 250. c) Calculate, by hand, how many successful calls you would expect each day. d) Calculate, by hand, the standard deviation of the variable X. e) Based on our study of normal curves, would you be able to use the normal curve approximations for this distribution? Explain your answer. 4. Use the data "georgia_student_survey" to complete the following analysis. We will use the variable "job" to construct confidence intervals. (A "1" means the student has a job and a "0" means the student does not have a job.) a) Explain whether or not we can assume that the sampling distribution of the sample proportion will be at least approximately normal. b) Construct a 95% confidence interval for the population proportion of college students who work at a job while taking classes for their degree. c) Interpret your confidence interval from part (b) using percentages. d) Construct a 90% confidence interval for the population proportion of college students who work at a job while taking classes for their degree. 5. Use the data "georgia_student_survey" to complete the following analysis. We will use the variable "job" to perform a significance test. (A "1" means the student has a job and a "0" means the student does not have a job.) Use a significance test to determine if the proportion of college students having a job while taking classes for thed) At a 5% significance level, clearly state your resulting decision: "Reject H0" or "Do Not Reject H0." e) Interpret your significance test results. 6. Use the data "fl_student_survey" to complete the following analysis. Use the data under the variable heading "college_GPA" to construct confidence intervals. a) Explain whether or not we can assume that the sampling distribution of the sample mean will be at least approximately normal. b) Construct a 99% confidence interval for the population mean GPA for college students. c) Interpret your confidence interval from part (a). d) Construct a 95% confidence interval for the population mean GPA for college students. 7. Use the data "fl_student_survey" to complete the following analysis. Use the data under the variable heading "college_GPA" to perform a significance test for the population mean to determine if the mean college student GPA is less than 3.6. a) Create a histogram and boxplot for the sample data. Discuss normality, whether or not outliers are present, and sample size and how these affect the validity of our results. b) Using correct notation, state the null hypothesis. c) Using correct notation, state the alternative hypothesis. d) Use StatCrunch to calculate the p-value for this significance test. e) At a 1% significance level, clearly state your resulting decision: "Reject H0" or "Do Not Reject H0." f) Interpret your significance test results.

ir degree is different from 1/3. a) Using correct notation, state the null hypothesis. b) Using correct notation, state the alternative hypothesis. c) Use StatCrunch to calculate the p-value for this significance test.

1- us_statewide_crime.csv

State	violent crime rate	murder rate	poverty	high school	college	single parent	unemployed	metropolitan
Alabama	486	7.4	14.7	77.5	20.4	26	4.6	70.2
Alaska	567	4.3	8.4	90.4	28.1	23.2	6.6	41.6
Arizona	532	7	13.5	85.1	24.6	23.5	3.9	87.9
Arkansas	445	6.3	15.8	81.7	18.4	24.7	4.4	49
California	622	6.1	14	81.2	27.5	21.8	4.9	96.7
Colorado	334	3.1	8.5	89.7	34.6	20.8	2.7	84
Connecticut	325	2.9	7.7	88.2	31.6	22.9	2.3	95.6
Delaware	684	3.2	9.9	86.1	24	25.6	4	81.4
District of Columbia	1508	41.8	17.4	83.2	38.3	44.7	5.8	100
Florida	812	5.6	12	84	22.8	26.5	3.6	93
Georgia	505	8	12.5	82.6	23.1	25.5	3.7	69.1
Hawaii	244	2.9	10.6	87.4	26.3	19.1	4.3	72.9
Idaho	253	1.2	13.3	86.2	20	17.7	4.9	38.6
Illinois	657	7.2	10.5	85.5	27.1	21.9	4.4	84.5
Indiana	349	5.8	8.3	84.6	17.1	22.8	3.2	71.8
Iowa	266	1.6	7.9	89.7	25.5	19.8	2.6	44.9
Kansas	389	6.3	10.5	88.1	27.3	20.2	3.7	56.8
Kentucky	295	4.8	12.5	78.7	20.5	23.2	4.1	48.4
Lousiana	681	12.5	18.5	80.8	22.5	29.3	5.5	75.2
Maine	110	1.2	9.8	89.3	24.1	23.7	3.5	36.3
Maryland	787	8.1	7.3	85.7	32.3	24.5	3.9	92.7
Massachusetts	476	2	10.2	85.1	32.7	22.8	2.6	92.1
Michigan	555	6.7	10.2	86.2	23	24.5	3.6	82.5
Minnesota	281	3.1	7.9	90.8	31.2	19.6	3.3	70.3
Mississippi	361	9	15.5	80.3	18.7	30	5.7	36.2
Missouri	490	6.2	9.8	86.6	26.2	24.3	3.5	68
Montana	241	1.8	16	89.6	23.8	21.4	4.9	33.4
Nebraska	328	3.7	10.7	90.4	24.6	19.6	3	52.2
Nevada	524	6.5	10.1	82.8	19.3	24.2	4.1	86.6
New Hampshire	175	1.8	7.6	88.1	30.1	20	2.8	60.3
New Jersey	384	3.4	8.1	87.3	30.1	20.2	3.8	100
New Mexico	758	7.4	19.3	82.2	23.6	26.6	4.9	57
New York	554	5	14.7	82.5	28.7	26	4.6	91.9
North Carolina	498	7	13.2	79.2	23.2	24.3	3.6	67.2
North Dakota	81	0.6	12.8	85.5	22.6	19.1	3	43.4
Ohio	334	3.7	11.1	87	24.6	24.6	4.1	80.9
Oklahoma	496	5.3	14.1	86.1	22.5	23.5	3	60.6
Oregon	351	2	12.9	88.1	27.2	22.5	4.9	72.8
Pennsylvania	420	4.9	9.8	85.7	24.3	22.8	4.2	84.5
Rhode Island	298	4.3	10.2	81.3	26.4	27.4	4.1	93.8
South Carolina	805	5.8	12	83	19	27.1	3.9	70.2
South Dakota	167	0.9	9.4	91.8	25.7	20.7	2.3	34.5
Tennessee	707	7.2	13.4	79.9	22	27.9	3.9	67.9
Texas	545	5.9	14.9	79.2	23.9	21.5	4.2	84.6
Utah	256	1.9	8.1	90.7	26.4	13.6	3.2	76.4
Vermont	114	1.5	10.3	90	28.8	22.5	2.9	27.9
Virginia	282	5.7	8.1	86.6	31.9	22.2	2.2	78.2
Washington	370	3.3	9.5	91.8	28.6	22.1	5.2	83
West Virginia	317	2.5	15.8	77.1	15.3	22.3	5.5	41.9
Wisconsin	237	3.2	9	86.7	23.8	21.7	3.5	67.8
Wyoming	267	2.4	11.1	90	20.6	20.8	3.9	29.6

2-georgia_student_survey.csv

Height	Gender	Haircut	Job	Studytime	Smokecig	Dated	HSGPA	CGPA	HomeDist	BrowseInternet	WatchTV	Exercise	ReadNewsP	Vegan	PoliticalDegree	PoliticalAff
65	1	25	1	7	0	0	3.9	3.3	1	60	120	0	4	0	4	2
71	0	12	0	2	0	1	3.79	3.13	5	20	120	1	0	0	2	3
68	1	4	0	4	0	1	3	3.6	15	60	90	1	1	0	2	3
64	1	0	1	3.5	0	1	3.9	3.5	0.75	10	120	15	1	0	4	2
64	1	50	0	4.5	0	1	3.6	3.5	40	30	120	6	2	0	5	2
66	0	10	1	3	0	3	3.2	3.75	5	30	120	7	5	0	4	1
74	0	0	0	3	0	0	3.78	3.47	1	0	0	7	4	0	6	2
69	1	18	0	8	1	1	3.2	2.8	40	10	60	4	2	0	6	2
65	1	55	0	5.5	0	0	3.5	2.88	7	15	90	2.5	3	0	7	2
68	1	41	1	5.5	0	0	3.8	3.28	3	10	60	3	0	0	5	2
65	1	40	1	5	0	1	3.89	3.53	2.9	15	60	4	1	0	6	2
66	1	14	0	7	0	1	3.8	3.5	4	30	180	5	3	0	2	2
62	1	35	1	9	0	0	4	3.98	1.2	15	45	7.5	4	0	6	2
72	0	10	0	4	0	1	3.3	2.6	2	120	180	60	5	0	4	3
69	1	45	1	10	0	0	3.7	3.5	30	10	60	0	0	0	6	2
69	1	0	0	3	0	0	3.9	3.98	40	30	20	1	1	0	7	2
68	0	0	0	3	0	0	3.5	3.75	2.5	30	60	8	5	0	5	2
72	0	0	0	3.5	0	1	3.9	3.67	2.5	75	90	7	0	0	5	2
66	1	20	0	4.5	0	1	4	3.75	8	40	120	3	5	0	4	2
69	0	12	1	3.5	0	0	3.5	3.9	40	30	120	5	1	0	6	2
68	0	7	0	2	0	1	3.79	3.1	4	5	60	14	2	0	4	3
60	0	0	1	6	0	1	3.9	3.14	7	40	120	15	7	0	6	2
69	1	40	0	6	0	2	3.5	3.8	3	10	60	7	2	1	2	1
72	0	12	1	4	0	1	3.8	3.7	10	60	30	3	2	0	5	2
65	1	25	0	3	0	0	4	3.87	0.7	5	0	3.5	0	0	7	2
72	0	8	0	4	0	1	3.5	3.31	10	30	120	25	0	0	6	2
74	0	0	1	10	0	0	2.55	3.14	0.85	70	120	6	0	0	4	3
67	1	150	0	4.5	0	0	3.8	2.98	5	180	90	2	1	0	4	1
69	1	40	1	7	0	1	4	4	0.5	120	90	5	0	0	6	2
71	1	18	0	5	0	1	4	3.77	1	35	15	10	4	0	6	2
62	1	10	0	3	0	0	4	4	0.75	60	60	2	3	0	2	1
68	1	25	0	8	0	1	3.8	3.49	3	30	60	3.5	5	0	5	2
67	1	15	0	5	0	1	4	3.99	70	15	60	5	5	0	3	3
63	1	15	1	8	0	1	4	3.78	1	30	0	6	5	0	3	1
63	1	40	0	4.5	0	1	4	3.92	1.5	60	60	5	6	0	4	3
64	1	77	0	2	0	1	4	3.77	5	45	0	5	4	0	2	3
65	1	15	0	3	0	1	4	3.83	2	30	30	3	1	1	6	2
69	1	31	0	6	0	1	3.86	3.86	2	30	60	3	3	0	6	2
68	1	35	1	10	0	1	4	3.86	2.5	10	30	5	0	0	6	2
65	1	150	0	2	0	0	4	3.93	2	60	180	3	2	0	6	2
64	1	20	0	12	0	0	3.9	3.91	1	30	30	5	7	0	2	1
67	1	12	0	5	0	0	4	4	1	180	30	4	2	0	4	3
72	0	8	0	4	0	0	4	3.73	7	60	180	2.5	5	0	4	3
68	1	20	1	3	0	0	4	3.75	2.5	30	180	2	2	0	3	1
65	1	20	1	4	0	0	4	3.99	1	60	30	9	7	0	6	2
68	1	80	0	4	1	1	4	3.8	0.75	60	0	6.5	3	1	1	1
70	1	75	0	4	0	1	4	3.77	1.5	45	60	2	3	0	4	3
62	1	10	0	5	0	0	4	3.95	1.5	90	0	3	0	1	5	3
64	1	25	1	15	0	1	4	3.74	42	60	0	10	0	0	6	2
69	1	45	1	4.5	0	0	3.7	3.65	5	15	30	2	3	0	3	3
72	0	12	1	4	0	1	3.75	3.83	0.75	90	10	3	5	0	6	2
70	0	20	0	4	0	0	3.94	4	12	15	25	3	7	0	6	2
62	1	11	1	5	0	0	3.9	3.2	0.6	150	60	3	1	1	4	3
70	1	40	0	5	0	1	3.9	3.6	1	10	60	3	1	1	4	2
74	0	14	0	6	0	0	4	3.75	1	60	30	6	3	0	5	2
65	1	60	0	3	0	1	3.97	3.77	0.75	45	0	4	0	0	3	3
65	1	20	1	3	0	1	4	3.83	2	30	20	3	1	0	6	2
66	0	11	0	2	1	3	4	3.7	2	120	0	0	0	0	5	2
62	1	30	1	2.3	0	1	3.6	2.5	6	30	60	2	4	0	5	2

dfgfg 3-fl_student_survey.csv

subject	gender	age	high_sch_GPA	college_GPA	distance_home	distance_residence	TV	sports	newspapers	AIDS	vegetarian	political_affiliation	political_ideology	religiosity	abortion_legalize	affirmative_action_support	life_after_death
1	m	32	2.2	3.5	0	5	3	5	0	0	n	r	6	2	n	n	y
2	f	23	2.1	3.5	1200	0.3	15	7	5	6	y	d	2	1	y	y	u
3	f	27	3.3	3	1300	1.5	0	4	3	0	y	d	2	2	y	y	u
4	f	35	3.5	3.2	1500	8	5	5	6	3	n	i	4	1	y	y	n
5	m	23	3.1	3.5	1600	10	6	6	3	0	n	i	1	0	y	n	n
6	m	39	3.5	3.5	350	3	4	5	7	0	y	d	2	1	y	y	u
7	m	24	3.6	3.7	0	0.2	5	12	4	2	n	i	2	1	y	y	y
8	f	31	3	3	5000	1.5	5	3	3	1	n	i	2	1	y	y	y
9	m	34	3	3	5000	2	7	5	3	0	n	i	1	1	y	y	u
10	m	28	4	3.1	900	2	1	1	2	1	y	i	3	0	n	y	y
11	m	23	2.3	2.6	253	1.5	10	15	1	1	n	r	5	1	n	y	y
12	f	27	3.5	3.6	190	3	14	3	7	0	n	d	2	1	y	y	u
13	m	36	3.3	3.5	245	1.5	6	15	12	5	n	d	1	1	y	y	y
14	m	28	3.2	3.2	500	6	3	10	1	2	n	i	4	1	y	n	y
15	f	28	3	3.5	3500	1	4	3	1	0	n	d	1	0	y	y	y
16	f	25	3.8	3.3	210	10	7	6	1	0	y	i	2	3	y	y	y
17	f	41	4	3	1000	15	6	7	3	10	n	i	3	3	n	u	y
18	m	50	3.8	3.8	0	3	5	9	6	10	n	d	2	0	y	n	n
19	m	71	4	3.5	5000	3	6	12	2	2	n	i	2	0	y	n	n
20	f	28	3	3.8	120	1	25	0	0	2	y	d	1	1	y	y	y
21	f	26	3.7	3.7	8000	8	4	4	4	1	n	i	4	1	y	y	y
22	f	27	4	3.7	2	2.5	4	2	7	0	n	i	2	1	y	y	y
23	m	31	2.7	3.5	1700	5	7	7	2	0	n	r	7	3	n	n	y
24	f	23	3.7	3.7	2	2	7	4	2	0	n	i	4	0	y	y	y
25	m	23	3.2	3.8	450	4	0	7	7	3	n	i	1	0	y	y	y
26	f	44	3	3	0	2	2	3	2	3	y	i	3	2	y	y	y
27	m	26	3.7	3	1000	3	8	2	7	0	n	d	2	1	y	y	u
28	f	31	3.7	3.8	850	10	10	3	7	0	n	r	5	2	y	n	y
29	m	24	3.3	3.1	420	2	10	6	5	0	n	d	4	1	y	y	u
30	f	26	3.3	3.3	1200	0.75	10	0	3	0	n	r	2	1	y	y	u
31	m	26	3.3	3.5	1000	1.5	0	3	3	3	y	d	2	1	y	y	n
32	f	32	3.5	3.9	150	12	10	2	0	0	n	d	2	1	n	n	y
33	m	26	3.4	3.4	2000	1.5	2	7	14	0	n	d	2	0	y	y	n
34	f	22	3.2	2.8	316	2	10	3	5	2	n	i	2	1	y	y	u
35	f	24	3.5	3.9	900	1.75	8	0	0	1	n	d	1	1	y	y	u
36	m	24	3.6	3.3	250	2	4	6	3	1	n	r	5	3	n	y	y
37	m	23	3.8	3.7	180	0.5	10	5	7	0	n	i	2	0	y	n	u
38	m	33	3.4	3.4	6000	1.5	8	5	6	2	n	i	2	0	y	y	n
39	m	23	2.8	3.2	950	2	37	1	5	0	n	r	5	2	y	n	y
40	m	31	3.8	3.5	1100	0.75	0.5	3	5	2	n	r	6	2	y	n	u
41	m	26	3.4	3.4	1300	1.2	0	8	2	0	n	i	2	1	n	y	n
42	m	28	2	3	360	0.25	10	8	3	0	n	d	3	0	y	y	u
43	f	24	3.8	3.9	1800	2	2	5	4	1	n	r	6	3	n	y	y
44	m	23	3	3.6	900	15	12	0	5	0	n	r	5	0	y	n	n
45	f	25	3	4	5000	5	1.5	0	4	0	n	i	4	1	y	y	n
46	f	24	3	3.5	300	1	10	5	5	0	n	d	2	0	y	y	n
47	f	27	3	3.8	2000	20	28	7	14	2	y	r	3	1	y	y	y
48	m	24	3.3	3.8	630	1.3	2	3	5	0	n	r	7	3	n	n	y
49	f	26	3.8	4	1200	1	0	4	3	1	n	d	2	0	y	y	n
50	f	27	3	4	580	2	5	15	1	2	n	d	1	1	y	y	n
51	m	32	3	3	2000	5	5	5	2	1	n	r	5	3	n	y	y
52	f	41	4	4	0	8	8	4	2	2	n	r	4	1	n	n	y
53	f	29	3	3.9	300	3.7	2	5	1	11	n	d	2	1	y	y	y
54	f	50	3.5	3.8	6	6	7	3	7	0	n	d	2	1	y	y	u
55	f	22	3.4	3.7	80	7	10	1	2	2	n	i	2	0	y	y	u
56	f	23	3.6	3.2	375	1.5	5	1	5	0	n	r	6	3	n	n	y
57	m	26	3.5	3.6	2000	0.3	16	8	3	0	n	d	4	1	y	y	u
58	m	30	3	3	1	1.1	1	4	3	0	n	i	3	3	y	n	y
59	f	23	3	3	112	0.5	15	3	3	0	n	i	4	2	y	y	y
60	f	22	3.4	3	650	4	8	16	7	1	n	i	4	1	y	y	y