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BUS708 International Trade and Finance-Data Analysis and Statistical M

How did you find or collect your data (If you found the data, give a clear reference. If you collected the data, describe clearly the data collection process you used.) What are the cases What are the variables What population do you believe the sample might generalize to Is the sample data from an experiment or an observational study Include a copy of the dataset.
• Analysis of One Quantitative Variable: For at least one of the quantitative variables, include summary statistics (mean, standard deviation, five number summary) and at least one graphical display. Are there any outliers Is the distribution symmetric, skewed, or some other shape
• Analysis of One Categorical Variable: For at least one of the categorical variables, include a frequency table and a relative frequency table.

• Analysis of One Relationship between Two Categorical Variables: Analyse your own data for a chi-square test for association between the two Categorical Variables. State the hypotheses of the test. Conduct the test, showing all details such as expected counts, contribution of each cell to the chi-square statistic, degrees of freedom used, and the p-value. State a clear conclusion in context. If the results are significant, which cells contribute the most to the chi-square statistic? 

For these cells, are the observed counts greater than or less than expected Whether or not the results are significant, describe the relationship as if you were writing an article for your campus paper. If the results are significant, can we infer a causal relationship between the variables
• Analysis of One Relationship between a Categorical Variable and a Quantitative Variable Include a side-by-side histogram and describe it. Does there appear to be an association between the two variables If so, describe it. Also, use some summary statistics to compare the groups.
• Analysis of One Relationship between Two Quantitative Variables: For at least one pair of quantitative variables, include a scatterplot and discuss it.
• Conclusion: Briefly summarize the most interesting features of your data.

Answer:

Patient_ID
width="63">Age_Cat
GenderLOSDisch_DestTotal_Charges
12183$27,776 
22251$35,529 
32221$17,742 
43221$10,367 
51221$13,801 
62151$38,028 
74273$33,332 
85261$22,829 
95243$32,060 
105181$26,138 
117163$23,832 
121274$36,438 
131183$36,968 
1422173$98,993 
155133$30,655 
166263$25,732 
176253$20,221 
183131$14,581 
191131$23,253 
2062184$88,808 
212184$39,160 
227232$15,004 
233131$29,010 
243263$28,532 
251133$14,413 
261131$21,088 
277271$28,776 
287262$25,864 
294161$18,565 
307275$28,950 
317232$20,993 
327234$25,687 
332271$42,702 
341221$25,213 
354133$16,032 
3651134$69,929 
374271$39,166 
3841123$63,407 
396272$24,831 
4062102$39,557 
415244$16,361 
4211103$79,101 
436143$18,286 
445251$19,651 
4541115$57,453 
462131$23,472 
476143$26,800 
486242$18,866 
494241$29,394 
505223$12,803 
515262$30,996 
525161$22,316 
536111$15,388 
546173$38,046 
556223$10,183 
566221$11,577 
575233$24,249 
586241$29,207 
592183$56,042 
6011123$66,705 
617251$26,725 
622234$29,086 
637153$22,087 
646191$34,977 
653141$17,915 
6642165$95,341 
675243$16,425 
685223$16,744 
6942104$38,346 
704262$24,430 
715272$20,915 
722111$8,797 
737143$19,618 
743221$22,233 
755121$15,657 
7622182$72,700 
772161$53,870 
783141$24,333 
796253$22,980 
801143$27,331 
811163$22,748 
8242123$46,960 
834215$18,873 
846111$9,711 
8552175$1,74,182 
8622193$73,823 
873284$48,317 
883284$32,569 
8962102$44,929 
904231$12,207 
916151$23,683 
926133$15,208 
936183$28,646 
947263$30,343 
951121$20,134 
962183$46,655 
976173$33,039 
981253$21,687 
996162$30,897 
1006163$22,420 

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