Population Credit Risk dataCheckingSavings0739012300389638347963475428270022905336509493966009890330532257808213962280129652732708683207028712348017545101387100048501072314124500248402372360485335170835650040716647895015004900162940715032301282180010916935189664537150652001382160066007240897265947425608709171625950789000746461140065907170667580007630136605520146437582665399051344208357005658630322080006561669229783885674288606261532800904713784080603281075906800104303899900173207061257005762739045221940710055640192063751440545731851336980369644030549296213080127056501263201160178685190113496650509241060919155131054401085337400409828391032282958301224204799394960466889158387615338930127604873000717959787604449000104089769840330945083603251297419568080331710980026506090185119219905000509027004570260942303606433329006345092209090775097909483392790030907620970105320086121626211369210954004700192817612230077246814186788563300187160886075003870032730406046103400649073434805060147171720644157100617411054458600835082305180040808215223855852223558800605352752503529271514355608878952433054553041807710463894811001009901342802080552031054834150123802380127663062478507180493152757091250364498598037415601336005080956063626410015190922018007010296887519080007360118380364184082124978880999946098657881221360734778861645855044866822017198120050008598593305012180901601158708944080708677951680403470836014201698523613040308364250011481032850164110728910021984180606070486010800011316130757208060303439774631970029904900662808590750256954296591013970085705857298332607268636214020707131976621410483012703670813408900102271759949005039118230693097306480523271709005960904054101544802017700337071699683770500771005315960129094175959609876510257460955007988249009599561482382883012721842031110030205382846023170202688173660042533221424200272929124017124061208620146014190039605196460538344020401480435091413502472004121041719811211822166300033696420070729681889817747840713154661224600991017653049767040144449213880081900607015800036904973000761047106740547161524081500789989765104060957077098395001600276798137057919326844970000007120912 Sample Credit risk dataCheckingSavings07987951680425695435275250142305492086206590771040301642574607788610150085901519014717852361308070523 |to determine if students were likely to be able to pay theiruniversity loans, we could examine the contents of their bank accounts.For these students, their total cash assets are assumed to be the sum of the amounts in their savings andchekcing accounts.For this exercise, we have both the entire populationofdata, anda sample taken from that population.A. in this part, assume the population standard deviation is known, but the population mean is not.The 80% confidence interval for the mean total student cashassets isThe 85% confidence interval for the mean total student cashassets isB. in this part, assume the populationstandarddeviation is NOT known( and neither is the population mean).The 90% confidence interval for the mean total student cash assets isThe 80% confidence interval for the mean total student cash assets isC. compare the confidence intervals when assuming the population standarddeviation is known and is unknown.The 80% confidence interval assuming the population standard deviation is known is (Wider/Narrower)than the 80% confidence interval assuming the population standard deviation is unknown.

Answered: Image /qna-images/answer/6a07dbbe-48c0-4c37-839c-c0000ad6c107.jpg

Answered: to determine if students were likely to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Population Credit Risk data
Checking	Savings
0	739
0	1230
0	389
638	347
963	4754
2827	0
0	229
0	533
6509	493
966	0
0	989
0	3305
322	578
0	821
396	228
0	129
652	732
708	683
207	0
287	12348
0	17545
101	3871
0	0
0	485
0	10723
141	245
0	0
2484	0
237	236
0	485
335	1708
3565	0
0	407
16647	895
0	150
0	490
0	162
940	715
0	323
0	128
218	0
0	109
16935	189
664	537
150	6520
0	138
216	0
0	660
0	724
0	897
265	947
4256	0
870	917
162	595
0	789
0	0
0	746
461	140
0	659
0	717
0	667
580	0
0	763
0	1366
0	552
0	14643
758	2665
399	0
513	442
0	8357
0	0
565	863
0	322
0	800
0	656
166	922
9783	885
674	2886
0	626
15328	0
0	904
713	784
0	806
0	3281
0	759
0	680
0	104
303	899
900	1732
0	706
1257	0
0	576
273	904
522	194
0	710
0	5564
0	192
0	637
514	405
457	318
5133	698
0	369
644	0
305	492
9621	308
0	127
0	565
0	12632
0	116
0	178
6851	901
13496	650
509	241
0	609
19155	131
0	544
0	10853
374	0
0	409
828	391
0	322
829	583
0	12242
0	479
939	496
0	466
889	1583
876	1533
893	0
12760	4873
0	0
0	717
959	7876
0	4449
0	0
0	104
0	897
698	4033
0	945
0	836
0	325
12974	19568
0	803
317	10980
0	265
0	609
0	1851
192	199
0	500
0	509
0	270
0	457
0	260
942	3036
0	643
3329	0
0	6345
0	922
0	909
0	775
0	979
0	948
339	2790
0	309
0	762
0	970
105	320
0	861
216	262
113	692
109	540
0	470
0	192
8176	12230
0	772
468	14186
7885	6330
0	18716
0	886
0	750
0	3870
0	3273
0	406
0	461
0	340
0	6490
734	348
0	506
0	14717
172	0
644	1571
0	0
617	411
0	544
586	0
0	835
0	823
0	5180
0	408
0	821
522	385
585	2223
5588	0
0	605
352	7525
0	3529
2715	1435
560	887
895	243
305	4553
0	418
0	771
0	463
8948	110
0	10099
0	13428
0	208
0	552
0	3105
483	415
0	1238
0	238
0	127
663	0
624	785
0	718
0	493
152	757
0	9125
0	364
498	598
0	374
156	0
1336	0
0	508
0	956
0	636
2641	0
0	1519
0	922
0	180
0	701
0	296
887	519
0	800
0	736
0	11838
0	364
18408	212
497	888
0	999
946	0
986	578
8122	136
0	734
778	861
645	855
0	4486
682	2017
19812	0
0	500
0	859
859	3305
0	1218
0	9016
0	11587
0	8944
0	807
0	867
795	16804
0	347
0	836
0	142
0	169
852	3613
0	403
0	836
425	0
0	11481
0	3285
0	164
11072	891
0	0
219	841
8060	607
0	486
0	108
0	0
0	113
1613	0
757	208
0	603
0	343
977	463
197	0
0	299
0	490
0	6628
0	859
0	750
256	954
296	591
0	13970
0	857
0	5857
298	3326
0	726
8636	214
0	207
0	713
19766	2141
0	483
0	127
0	367
0	813
4089	0
0	102
271	759
949	0
0	503
911	823
0	693
0	973
0	648
0	523
271	7090
0	596
0	904
0	541
0	154
4802	0
177	0
0	337
0	716
996	837
705	0
0	7710
0	531
5960	129
0	941
759	596
0	987
651	0
257	460
955	0
0	798
8249	0
0	959
956	1482
382	883
0	12721
842	0
3111	0
0	302
0	538
2846	0
231	702
0	2688
17366	0
0	425
332	214
242	0
0	272
929	124
0	17124
0	612
0	862
0	146
0	14190
0	396
0	519
646	0
538	344
0	204
0	148
0	435
0	914
135	0
2472	0
0	412
10417	19811
211	822
16630	0
0	3369
642	0
0	707
296	818
898	177
478	4071
315	466
122	460
0	991
0	17653
0	497
670	4014
444	921
3880	0
819	0
0	607
0	15800
0	369
0	4973
0	0
0	761
0	471
0	674
0	547
161	524
0	815
0	0
789	989
765	10406
0	957
0	770
983	950
0	160
0	276
798	137
0	579
193	2684
497	0
0	0
0	0
0	712
0	912

Sample Credit risk data

Checking	Savings
0	798
795	16804
256	954
352	7525
0	142
305	492
0	862
0	659
0	771
0	403
0	164
257	460
778	861
0	150
0	859
0	1519
0	14717
852	3613
0	807
0	523

|to determine if students were likely to be able to pay theiruniversity loans, we could examine the contents of their bank accounts.
For these students, their total cash assets are assumed to be the sum of the amounts in their savings andchekcing accounts.
For this exercise, we have both the entire populationofdata, anda sample taken from that population.
A. in this part, assume the population standard deviation is known, but the population mean is not.
The 80% confidence interval for the mean total student cashassets is
The 85% confidence interval for the mean total student cashassets is
B. in this part, assume the populationstandarddeviation is NOT known( and neither is the population mean).
The 90% confidence interval for the mean total student cash assets is
The 80% confidence interval for the mean total student cash assets is
C. compare the confidence intervals when assuming the population standarddeviation is known and is unknown.
The 80% confidence interval assuming the population standard deviation is known is (Wider/Narrower)
than the 80% confidence interval assuming the population standard deviation is unknown.

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