Rate5287153663918155274419765882785596866044989471026515474728796493526919112230451955945343823617645466136122647838169835115734742855433261027923779636599861852349138080475811536747315534225526455064808436836825816014933726138363901053816936152444695597430920607996452506376282 In an attempt to reduce drunk driving, police set up vehicle checkpoints during the July 4evening. The police randomly selects vehicles to be stopped for "informational" checks. On aparticular roadway assume that 4% of all drivers have a blood alcohol level above the legal limit.During the evening, it is estimated that the checkpoint has the capacity to stop 200 vehicles.Compute the probability that of the 200 drivers, 8, or more will exceed the legal limit (round youranswer to 4 decimals)

If a driver is selected randomly and checked, then there can be two possibilities either the blood…

Answered: In an attempt to reduce drunk driving,…

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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Incomes 29109 21546 30417 10104 19279 27578 23581 26949 35423 12971 37895 31308 28256 31494 31552 34440 33347 26768 25225 29250 23437 31921 19869 31693 38974 34767 33131 23815 26714 36735 33136 34007 39674 22759 27323 28875 37991 23100 29289 21065 20760 25332 28665 21338 33246 27501 1327 39562 30752 21887 32228 10133 25943 38223 38362 27569 38213 25181 29607 29690 27114 27497 36364 35330 45575 33222 15717 21607 28861 22407 11334 18836 13190 26210 14940 48983 21182 29351 27038 19260 32626 31240 13790 23167 19559 53556 21745 24758 20145 37975 22640 28622 24653 25567 19951 11195 30646 25490 17034 31027 32939 26919 27831 23640 20727 23450 17718 37815 27443 26913 27273 34833 27059 36773 10541 36607 22582 24738 31808 45441 36924 17833 24812 27882…
775 1065 896 930 1052 846 949 797 1041 962 1028 910 1067 982 879 1097 1071 1056 1021 928 1045 974 1112 975 887 1069 1040 927 867 864 983 987 906 1030 934 662 1004 901 1123 1033 1028 934 1148 1027 978 1139 1078 1088 948 912 942 860 822 911 938 1000 944 980 915 899 852 989 978 991 996 878 833 865 1069 779 960 907 1009 1118 903 957 1014 885 947 1006 1036 824 866 860 986 972 916 991 851 1050 980 983 977 864 903 940 995 842 1122 1036 The table above represents the average rent for 100 randomly selected U.S. cities. According to www.apartments.com, the average rent for a two-bedroom apartment in the city of Napa is $1,967. How do other U.S. cities’ rents compare to Napa? Are they about the same, on average, or are rents significantly lower elsewhere? 1) To test this hypothesis, two…
Candle Weight Candle Burn Ti 15 16 2 2 3 3 4 45 5 10 10 10 16 16 22 22 22 26 20 33 34 35 38 40 40 80 80 95 100 120 125 175 180
Table of number of drivers involved in fatal crashes Weather Normal Rain Snow/Sleet Other Unknown 3200 Daylight 14,616 861 227 147 800 Light Condition Dark, but Lighted 5669 469 56 67 258 Dark 8284 695 155 231 564 Dawn/Dusk Other 1249 54 6 80 18 33 79 9 9 148
Use the same scales to construct boxplots for the pulse rates of males and females from the accompanying data sets. Use the boxplots to compare the two data sets. Click the icon to view the data sets. Determine the boxplot for the men's pulse rate data. A. В. 40 50 60 70 80 90 100110 40 50 60 70 80 90 100110 C. D. 40 50 60 70 80 90 100110 40 50 60 70 80 90 100110
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 Housing Market 1 711000 332500 385000 770000 595000 350000 280000 420000 574000 336000 367500 819000 266000 511000 413000 420000 749000 406000 266000 665000 266000 595000 686000 742000 490000 381500 574000 560000 364000 427000 490000 364000 378000 269500 336000 Scenario: Here you will find a sample of house sale prices from two housing markets. Housing Market 2 374500 462000 586600 665000 180000 124300 525000 745500 476000 451500 315000 179500 521500 693000 724500 287000 346500 122500 864500 392000 756000 308000 420000 560000 476000 798000 346500 238000 371000 367500 420000 980000 260400 301000 176715 Number 1 2 3 Questions Would you rather invest in Market 1 or Market 2? Hypothesis tests would you implement to help you answer this question? Perform these test and report these results. What market would you invest in and why? Answer
please solve for following
The following data sets represent simple random samples from a population whose mean is 100. Complete parts (a) through (e) below. Full data set Data Set I 106 123 89 129 88 75 75 109 Data Set II 106 75 85 114 100 Data Set III 106 85 100 123 90 84 123 90 84 89 109 82 89 109 82 129 89 104 129 89 104 88 114 88 114 91 nn 75 114 113 75 95 75 95 119 109 119 109 119 89 (a) Compute the sample mean of each data set. Calculate the sample mean for data set I. x = 99.25 (Type an integer or a decimal.) Calculate the sample mean for data set II. x= (Type an integer or a decimal.)
Sale Price 9950 6536 11554 10049 11542 9339 11022 9858 6863 10912 12028 7661 10783 8959 6602 10123 10234 7104 8970 8490 9682 8208 9496 8352 12003 12260 12824 9733 10592 12232 13010 11725 6700 13104 11166 12684 12293 8152 7110 11255 8361 11550 9871 6634 11298 7594 6258 9413 10991 9304
The Food Marketing Institute shows that 18% of households spend more than $100 per week on groceries. Assume the population proportion is p = 0.18 and a sample of 800 households will be selected from the population. Use z-table. a. Calculate 0(P), the standard error of the proportion of households spending more than $100 per week on groceries (to 4 decimals). b. What is the probability that the sample proportion will be within +/- 0.02 of the population proportion (to 4 decimals)? c. What is the probability that the sample proportion will be within +/- 0.02 of the population proportion for a sample of 1,600 households (to 4 decimals)?
Value Added by Mfg. 23518 15724 24506 21667 20712 12640 4258 35210 20548 23442 287 1508 624 2471 4307 673 817 8986 3145 4076 3806 4276 1239 9423 11045 1916 599 2063 34 1445 10603 5775 10404 13274 1909 4606 5518 12464 5447 2290 4182 2818 2201 18848 9655 15668 25918 30692 17982 17857 9699 38407 3878 3989 4388 4055 16567 25025 59813 31801 8497 28886 12277 11547 26006 3464 2187 7079 442 4528 7275 55621 1313 162 1907 53 747 328 233 1717 6532 4850 3509 2176 2696 15739 999 7838 29180 9061 4200 1410 16670 5856 3164 3999 11750 4412 27974 6936 19880 7793 3528 21718 10513 9545 18178 22673 19221 23110 41135 17521 25322 6700 14278 9466 13428 3459 38705 84059 13920 105899 45220 7903 2590 1435 9986 3564 21071 29028 31051 2390 14032 415 2761 685 8327 2643 1406 11199 Cost of Materials 78713 42774 27222 37040 12030 13674 19130 33521 19612 5557 163 314 2622 4219 5357 1061 707 10421 4140 7125 8994 5504 716 8926 11121 2283 364 1813 71 1321 12376 9661 19285 18632 2170 7290 8135 12980 4011 5101 3755 2694…
Salary 77600 76000 90700 97200 90700 101800 78700 81300 84200 97600 77500 75700 89400 84300 78700 84600 87700 103400 83800 101300 94700 69200 95400 61500 68800

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