Rate5287153663918155274419765882785596866044989471026515474728796493526919112230451955945343823617645466136122647838169835115734742855433261027923779636599861852349138080475811536747315534225526455064808436836825816014933726138363901053816936152444695597430920607996452506376282 Question 14A patient visits her doctor with concerns about her blood pressure. If the systolic blood pressureexceeds 140, the patient is considered to have high blood pressure, and medications may beprescribed. The problem is that there is considerable variation in a patient's systolic bloodreadings during a given day. Assume our patient's systolic blood pressure readings during agiven day has a normal distribution of mean of 150 mm mercury and a standard deviation of 20mm.How many measurements would be required so that the probability of failing to detect that thepatient has high blood pressure is at most 5%?

Solution : Given that, mean = = 140 standard deviation = = 20 Using standard normal table , P(Z…

Answered: A patient visits her doctor with…

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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Zip Code 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 405 93905 760 4 93905 630 4 93905 from ho 640 ales above, 3 93905eath ip 749 find: sampl 4 93905 503 3 93905 43908 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 Price 714 855 598 769 529 795 715 635 989 93901 93901 93901 93901 790 605 800 480 660 799 900 799 640 650 93906 do the 1069 93906 700 93906 819 635 850 840 625 730 728 840 845 785 700 609 739 685 675 565 595 Bedrooms 3 5 3 4 2 5 3 4 6 4 3 5 3 2 3 3 4 6 3 3 2 4 3 4 3 4 4 3 4 4 4 3 2 3 3322 Baths 1 3 3 3 1 3 2 3 3 3 1 3 1 1 3 2 13 abd 3 1 3 3 2 3 3 2 2 2 3 2 3 2 3 3 2 3 3 3 3 2 3 2 2 1 1 Square Feet 821 2658 1638 2607 729 2253 1529 1980 3074 2607 948 2076 1089 863 2255 1353 1442 1837 920 2450 1877 1231 2191 3043 1814 1498 1240 2905 1328 2195 1112 2156 2276 1450 2400 2191 2207 1852 1077 1501 1152 1420 816 1212
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
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
Assume that the data contained in the file represents a random sample of cars from Japan, the USA, and Other countries. Perform the following analysis. 1. Sort, or Arrange, the data so that you have Gas Tank Size by Type of car. Note the Type of car is Sporty, Compact, Medium, and Large. You will need a column for each Type. You can do this using the Sort feature and then copy and paste into separate columns for each Type, or you could use a pivot table with Model as a row variable, Type as the column variable, and Gas Tank Size as the summary value. Once you have sorted and arranged the Gas Tank Size values by Type, Copy/Paste your sorted table to a new worksheet. 2. Produce a boxplot of Gas Tank Size for each Type of car. Briefly comment on the findings paying attention to the spread and the center of each Type of car's distribution as shown by the boxplot. 3. Conduct the appropriate test to determine if there is a difference in mean Gas Tank Size by Type of car. Use a level of…
Price SqFt 600000 2767 545000 2731 314900 2051 419000 2084 365000 2270 479000 1950 323000 1235 339900 2116 399000 1644 552000 2415 223017 1375 315777 1529 499000 2223 575000 2327 342000 1879 375000 1558 349000 2012 485000 1200 549888 1410 295000 1943 399000 1827 306999 1840 265200 1636 479000 2357 249700 1152 539500 2650 365000 2154 295900 1279 499000 2156 526000 2493 514900 2390 346000 1347 460000 2120 389000 1917 499000 1200 405000 2643 389900 1789 545000 2327 339000 1742 425000 1746 479000 1421 392000 2569 Interpret b0 in the context of this problem. Interpret b1 in the context of this problem. What percent of total variation in prices is explained by the regression model? Provide evidence to support your answer. Please include the excel function.
b) Make a frequency polygon of the test scores.Apparent Limits frequency93-95 190-92 287-89 684-86 881-83 978-80 775-77 672-74 369-71 466-68 263-65 060-62 2
Year Qtr 1 Qtr 2 Qtr 3 Qtr 4 Total Year Qtr Planes 2009 310 408 390 477 1,585 2009 Qtr1 310 2010 243 377 281 433 1,334 Qtr2 408 2011 268 289 286 480 1,323 Qtr3 390 2012 305 358 339 514 1,516 Qtr4 477 2013 329 413 353 520 1,615 2010 Qtr1 243 2014 345 380 379 527 1,631 Qtr2 377 2015 296 374 378 544 1,592 Qtr3 281 Qtr4 433 2011 Qtr1 268 Qtr2 289 Qtr3 286 Qtr4 480 2012 Qtr1 305 Qtr2 358 Qtr3 339 Qtr4 514 2013 Qtr1 329 Qtr2 413 Qtr3 353 Qtr4 520 2014 Qtr1 345 Qtr2 380 Qtr3 379 Qtr4 527 2015 Qtr1 296 Qtr2 374 Qtr3 378 Qtr4 544 (c)…
Day Revenue Occupied 1 1452 32 2 1361 20 3 1426 21 4 1470 25 5 1456 26 6 1430 23 7 1354 20 8 1442 39 9 1394 15 10 1459 50 11 1399 41 12 1458 35 13 1537 41 14 1425 31 15 1445 51 16 1439 62 17 1348 45 18 1450 41 19 1431 62 20 1446 47 21 1485 43 22 1405 38 23 1461 36 24 1490 60 25 1426 65
Zip Code 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 405 93905 760 4 93905 630 4 93905 from ho 640 ales above, 3 93905eath ip 749 find: sampl 4 93905 503 3 93905 43908 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 Price 714 855 598 769 529 795 715 635 989 93901 93901 93901 93901 790 605 800 480 660 799 900 799 640 650 93906 do the 1069 93906 700 93906 819 635 850 840 625 730 728 840 845 785 700 609 739 685 675 565 595 Bedrooms 3 5 3 4 2 5 3 4 6 4 3 5 3 2 3 3 4 6 3 3 2 4 3 4 3 4 4 3 4 4 4 3 2 3 3322 Baths 1 3 3 3 1 3 2 3 3 3 1 3 1 1 3 2 13 abd 3 1 3 3 2 3 3 2 2 2 3 2 3 2 3 3 2 3 3 3 3 2 3 2 2 1 1 Square Feet 821 2658 1638 2607 729 2253 1529 1980 3074 2607 948 2076 1089 863 2255 1353 1442 1837 920 2450 1877 1231 2191 3043 1814 1498 1240 2905 1328 2195 1112 2156 2276 1450 2400 2191 2207 1852 1077 1501 1152 1420 816 1212
Data 16 24 24 24 27 27 27 34 34 34 34 34 34 34 34 35 35 37 37 37 43 44 44 44 44 44 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 46 46 46 47 47 47 54 54 54 56 56 56 56 56 56 56 57 57 57 57 57 57 57 57 57 57 57 57 57 58 58 58 58 58 62 64 64 64 64 64 64 64 64 64 64 64 64 64 65 65 65 65 65 65 65 65 67 67 67 67 67 67 67 67 68 68 68 68 69 69 69 73 73 73 73 74 74 74 74 74 74 75 75 75 75 75 75 75 75 75 75 76 76 76 78 78 78 78 78 78 78 78 78 78 78 78 78 78 78 80 80 80 83 83 83 84 84 85 85 85 85 85 86 86 86 86 86 86 86 86 86 86 86 86 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 87 89 90…

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