0.0g 001 0001 0001 .00o1 0001 0001 0002 0002.0002 0002 0002 0X02 0.04 0.05 0.06 0.07 0.08 (00 0003 0003 0003 0003 0002 000 0004 0004 0004 0004 0003 W0006 0006 0006 0005 0005 0005 000008 0008 0008 0008 0007 0007 02 0012 0011 .0011 0011 0010 0010 0160016 (015 0013 0014 .0014 0002 0021 0021 0020 0019 00029 0028 0027 0026 0039 0038 0037 0036 0051 0049 0048 .0066 0064 .0084 3. Find the Pvalue of a test for the difference between two means, paired samples, given a test-statistic of t-2.015, Ha-1s..0295 de =19. %2410.0295 14-1

0.0g 001 0001 0001 .00o1 0001 0001 0002 0002.0002 0002 0002 0X02 0.04 0.05 0.06 0.07 0.08 (00 0003 0003 0003 0003 0002 000 0004 0004 0004 0004 0003 W0006 0006 0006 0005 0005 0005 000008 0008 0008 0008 0007 0007 02 0012 0011 .0011 0011 0010 0010 0160016 (015 0013 0014 .0014 0002 0021 0021 0020 0019 00029 0028 0027 0026 0039 0038 0037 0036 0051 0049 0048 .0066 0064 .0084 3. Find the Pvalue of a test for the difference between two means, paired samples, given a test-statistic of t-2.015, Ha-1s..0295 de =19. %2410.0295 14-1

Name: could you please help me understand better. do not use excel. 0.0g001
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Description: could you please help me understand better. do not use excel. 0.0g001 0001 0001 .00o1 0001 00010002 0002.0002 0002 0002 0X020.04 0.05 0.06 0.07 0.08(00 0003 0003 0003 0003 0002000 0004 0004 0004 0004 0003W0006 0006 0006 0005 0005 0005000008 0008 0008

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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31 Data: Red Blue Brown Green Yellow0.744 0.844 0.918 0.942 0.8680.813 0.726 0.743 0.798 0.7240.997 0.717 0.818 0.727 0.7540.927 0.882 0.994 0.842 0.9510.825 0.969 0.997 0.828 0.771 0.993 0.918 0.854 0.999 0.786 0.963 0.972 0.872 0.904 0.752
PercentUnder 21 Fatal Accidentsper 1000 13 2.962 12 0.708 8 0.885 12 1.652 11 2.091 17 2.627 18 3.83 8 0.368 13 1.142 8 0.645 9 1.028 16 2.801 12 1.405 9 1.433 10 0.039 9 0.338 11 1.849 12 2.246 14 2.855 14 2.352 11 1.294 17 4.1 8 2.19 16 3.623 15 2.623 9 0.835 8 0.82 14 2.89 8 1.267 15 3.224 10 1.014 10 0.493 14 1.443 18 3.614 10 1.926 14 1.643 16 2.943 12 1.913 15 2.814 13 2.634 9 0.926 17 3.256 D. Give a 95% interval estimate of the number of fatal accidents per 1000 licenses ina city where 15% of the licensed drivers are under 21
Restaurant X Restaurant Y89 101121 125116 153143 117270 171183 134122 114151 122158 127210 129335 137305 140181 227116 216161 291152 12595 95238 136243 242189 146155 148196 201168 149123 14262 141198 143182 154117 139139 169169 138185 244198 234236 248192 237352 234304 165213 85192 110183 58184 172107 79143 147175 138157 99173 131155 150170 127127 185136 145306 132 Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 95% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner; then do the same for Restaurant Y. Compare the results. Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant X.
Average Water Temp Manatee Deaths 72.0 35 71.9 38 71.7 42 71.7 49 71.6 53 71.5 54 71.4 60 71.0 67 71.2 68 71.2 69 71.1 73 71.0 73 70.9 73 70.9 78 70.8 79 70.7 81 70.6 81 70.6 82 70.5 83 70.5 88 70.4 90 69.9 92 69.8 95 69.5 97 A researcher is interested to see if there is an association between average water temperature and manatee deaths in sub-tropical regions, and decides to test for linear correlation at the 0.01 significance level. The researcher takes a random sample of subtropical regions and measures their number of manatee deaths and average water temperature. The table above gives the paired data for 24 randomly selected subtropical regions. Do a scatterplot of average water temperature and manatee deaths for this random sample of sub-tropical regions and report your impression of whether or not there seems to…
Male Female 28,429 21,890 14,798 23,569 5,443 6,800 26,258 16,895 26,723 10,669 6,907 14,890 23,016 13,017 19,009 17,690 25,050 14,742 21,192 20,420 10,338 14,333 10,465 14,395 14,010 16,864 20,648 23,820 19,856 4,245 63 19,225 21,420 23,626 11,319 17,292 20,356 15,343 17,492 13,514 16,299 28,660 21,793 10,057 7,288 18,481 7,960 5,205 25,062 9,611 10,186 17,995 13,921 13,983 12,942 21,676 11,655 22,780 19,207 11,796 12,895 33,935 7,911 9,825 20,749 11,633 17,120 10,489 12,477 30,066 13,810 20,778 17,041 18,452 11,364 20,982 20,462 21,013 10,940 15,980 13,828 17,134 5,741…
TABLE 1 z .09 .08 .07 .06 .05 .04 .03 .02 .01 .00-3.4 0.0002 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003 0.0003-3.3 0.0003 0.0004 0.0004 0.0004 0.0004 0.0004 0.0004 0.0005 0.0005 0.0005-3.2 0.0005 0.0005 0.0005 0.0006 0.0006 0.0006 0.0006 0.0006 0.0007 0.0007-3.1 0.0007 0.0007 0.0008 0.0008 0.0008 0.0008 0.0009 0.0009 0.0009 0.0010-3.0 0.0010 0.0010 0.0011 0.0011 0.0011 0.0012 0.0012 0.0013 0.0013 0.0013-2.9 0.0014 0.0014 0.0015 0.0015 0.0016 0.0016 0.0017 0.0018 0.0018 0.0019-2.8 0.0019 0.0020 0.0021 0.0021 0.0022 0.0023 0.0023 0.0024 0.0025 0.0026-2.7 0.0026 0.0027 0.0028 0.0029 0.0030 0.0031 0.0032 0.0033 0.0034 0.0035-2.6 0.0036 0.0037 0.0038 0.0039 0.0040 0.0041 0.0043 0.0044 0.0045 0.0047-2.5 0.0048 0.0049 0.0051 0.0052 0.0054 0.0055 0.0057 0.0059 0.0060 0.0062-2.4 0.0064 0.0066 0.0068 0.0069 0.0071 0.0073 0.0075 0.0078 0.0080 0.0082-2.3 0.0084 0.0087 0.0089 0.0091 0.0094 0.0096 0.0099 0.0102 0.0104 0.0107-2.2 0.0110 0.0113 0.0116 0.0119 0.0122 0.0125 0.0129 0.0132…
0.7200.7400.6400.3900.7002.2001.9800.6401.2200.2001.6401.3402.9500.9001.7601.0101.2600.0000.6501.4601.6201.8300.9901.5600.4101.2800.8301.3200.5401.2500.9201.0000.7800.7901.4401.0002.2402.5001.7901.2501.4900.8401.4201.0001.2501.4201.3500.9300.4001.390 The accompanying data table lists the magnitudes of 50 earthquakes measured on the Richter scale. Test the claim that the population of earthquakes has a mean magnitude greater than 1.00. Use a 0.01significance level. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, and conclusion for the test. Assume this is a simple random sample the sample data is above. What are the hypotheses? A. H0: μ=1.00 in magnitude H1: μ≠1.00 in magnitude B. H0: μ=1.00 in magnitude H1: μ<1.00 in magnitude C. H0: μ=1.00 in magnitude H1: μ>1.00 in magnitude D. H0: μ≠1.00 in magnitude H1: μ=1.00 in magnitude Identify the test statistic. t= (Round to two decimal places as…
The table below contains real data for the first two decades of AIDS reporting. Year # AIDS cases diagnosed # AIDS deaths Pre–1981 91 29 1981 319 121 1982 1,170 453 1983 3,076 1,482 1984 6,240 3,466 1985 11,776 6,878 1986 19,032 11,987 1987 28,564 16,162 1988 35,447 20,868 1989 42,674 27,591 1990 48,634 31,335 1991 59,660 36,560 1992 78,530 41,055 1993 78,834 44,730 1994 71,874 49,095 1995 68,505 49,456 1996 59,347 38,510 1997 47,149 20,736 1998 38,393 19,005 1999 25,174 18,454 2000 25,522 17,347 2001 25,643 17,402 2002 26,464 16,371 Total 802,118 489,093 Graph "year" vs. "# AIDS deaths." Do not include pre-1981. Label both axes with words. Scale both axes. Calculate the following. (Round your answers to the nearest whole number. Round the correlation coefficient r to four decimal places.) (a) a = (b) b = (c) r = (d) n =
The table below contains real data for the first two decades of AIDS reporting. Year # AIDS cases diagnosed # AIDS deaths Pre–1981 91 29 1981 319 121 1982 1,170 453 1983 3,076 1,482 1984 6,240 3,466 1985 11,776 6,878 1986 19,032 11,987 1987 28,564 16,162 1988 35,447 20,868 1989 42,674 27,591 1990 48,634 31,335 1991 59,660 36,560 1992 78,530 41,055 1993 78,834 44,730 1994 71,874 49,095 1995 68,505 49,456 1996 59,347 38,510 1997 47,149 20,736 1998 38,393 19,005 1999 25,174 18,454 2000 25,522 17,347 2001 25,643 17,402 2002 26,464 16,371 Total 802,118 489,093 Graph "year" versus "# AIDS cases diagnosed" (plot the scatter plot). Do not include pre-1981 data. Perform linear regression. Write the equations. (Round your answers to the nearest whole number. Round r to four decimal places.) (a) Linear Equation: ŷ = + x(b) a = (c) b = (d) r = (e) n =
part C D 33000331 UPH-1 St. Lawrence dolomite 618 0.05 2.69 2.74 2.83 48000168 Langer Platteville dolomite 127.8 0.06 2.69 2.75 2.86 52000415 3-21-13z1 Galena dolomite 575 0.04 2.72 2.76 2.83 52000415 3-21-13z1 Platteville dolomite 740 0.05 2.7 2.75 2.85 60000086 VD #1 Silurian dolomite 684 0.03 2.75 2.78 2.83 60000086 VD #1 Galena dolomite 1070 0.05 2.69 2.74 2.84 60000086 VD #1 Platteville dolomite 1142 0.02 2.77 2.79 2.83 13001466 NS-2 Tunnel City sandstone 60.1 0.14 2.41 2.54 2.79 13001466 NS-2 Tunnel City sandstone 60.2 0.28 1.93 2.21 2.67 13001466 NS-2 Tunnel City sandstone 118.3 0.3 1.88 2.18 2.7 33000331 UPH-1 St. Peter sandstone 222 0.22 2.06 2.28 2.65 33000331 UPH-1 Jordan sandstone 531 0.21 2.09 2.3 2.65 33000331 UPH-1 Tunnel City sandstone 644 0.18 2.22 2.4 2.7 33000331 UPH-1 Wonewoc sandstone 735 0.2 2.12 2.32 2.65 33000331 UPH-1 Wonewoc sandstone 840 0.27 1.93 2.2 2.66 33000331 UPH-1 Mt. Simon sandstone 927 0.18 2.31 2.49 2.81…
0.75 0.90 0.95 0.975 0.99 0.995 Upper-Tail Areas Degrees of Freedom 0.25 0.10 0.05 0.025 0.01 0.005 1 1.0000 3.0777 6.3138 12.7062 31.8207 63.6574 2 0.8165 1.8856 2.9200 4.3027 6.9646 9.9248 3 0.7649 1.6377 2.3534 3.1824 4.5407 5.8409 4 0.7407 1.5332 2.1318 2.7764 3.7469 4.6041 5 0.7267 1.4759 2.0150 2.5706 3.3649 4.0322 6 0.7176 1.4398 1.9432 2.4469 3.1427 3.7074 7 0.7111 1.4149 1.8946 2.3646 2.9980 3.4995 8 0.7064 1.3968 1.8595 2.3060 2.8965 3.3554 9 0.7027 1.3830 1.8331 2.2622 2.8214 3.2498 10 0.6998 1.3722 1.8125 2.2281 2.7638 3.1693 11 0.6974 1.3634 1.7959 2.2010 2.7181 3.1058 12 0.6955 1.3562 1.7823 2.1788 2.6810 3.0545 13 0.6938 1.3502 1.7709 2.1604 2.6503 3.0123 14 0.6924 1.3450 1.7613 2.1448 2.6245 2.9768 15 0.6912 1.3406 1.7531 2.1315 2.6025 2.9467 16 0.6901 1.3368 1.7459 2.1199 2.5835 2.9208 17 0.6892 1.3334 1.7396 2.1098 2.5669 2.8982 18 0.6884 1.3304 1.7341 2.1009 2.5524 2.8784 19 0.6876 1.3277 1.7291 2.0930 2.5395 2.8609 20 0.6870 1.3253 1.7247 2.0860 2.5280 2.8453…
n alpha=0.05 alpha=0.014 0.950 0.9905 0.878 0.9596 0.811 0.9177 0.754 0.8758 0.707 0.8349 0.666 0.79810 0.632 0.76511 0.602 0.73512 0.576 0.70813 0.553 0.68414 0.532 0.66115 0.514 0.64116 0.497 0.62317 0.482 0.60618 0.468 0.59019 0.456 0.57520 0.444 0.56121 0.433 0.54922 0.423 0.53723 0.413 0.52624 0.404 0.51525 0.396 0.50526 0.388 0.49627 0.381 0.48728 0.374 0.47929 0.367 0.47130 0.361 0.46335 0.334 0.43040 0.312 0.40345 0.294 0.38050 0.279 0.36155 0.266 0.34560 0.254 0.33065 0.244 0.31770 0.235 0.30675 0.227 0.29680 0.220 0.28685 0.213 0.27890 0.207 0.27095 0.202 0.263100 0.197 0.256