The income of males in each state of the United States, including the District of Columbia and Puerto Rico,are given in the first table, and the income of females is given in the second table. Compute a 90%confidence interval for the difference in incomes between males and females in the U.S. Round to thenearest whole number.Data of Income for Males35248 29439 57019 40593 4401648967 43353 35833 4476539728 42799 45097 4109950659 43089 53847 4413854250 43940 35445 4481151200 52339 49346 2897143378 5004652211 69509 4926350262 46248 4392758778 49522 5134540276 45437 4416235379 54346 4771447045 48104 37663 42642 40420 40420 4681042551 45384 53482Data of Income for Females38760 37597 52291 37649 43027 45384 3831149749 45980 35882 32742 50262 27417 3833631344 31149 42349 50625 49400 37196 4842155014 46243 32523 46640 48266 47777 5024443108 43468 40795 41697 48764 51743 4053241216 48638 40344 46067 52500 47507 4845438100 57220 43935 40772 51032 53075 4021347467 45857 34882Withmales and females in the U.S. is between $% confidence, it can be said that the difference in the mean incomes betweenand $

There are two independent samples which are Males and Females. We have to construct 90% confidence…

Answered: The income of males in each state of…

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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The income of males in each state of the United States, including the District of Columbia and Puerto Rico, are given in the first table, and the income of females is given in the second table. Compute a 99% confidence interval for the difference in incomes between males and females in the U.S. Round to the nearest whole number. Data of Income for Males 45842 35490 37775 45642 30834 31647 53603 24293 52239 39036 44992 41432 44665 45307 50005 40547 48716 55424 40740 36523 59057 39103 45304 41681 53036 40372 52833 56254 54790 45902 42179 32318 31241 39622 49441 45465 48427 50611 53071 44624 39496 50399 40362 38111 43137 42140 44662 44783 44326 52257 46106 53564 Data of Income for Females 48368 39313 57981 46947 41499 41871 45552 43681 36427 42989 46529 44781 49556 56457 48699 32031 50745 42724 52279 47252 39779 31520 36632 45417 42025 46651 49087 43267 34052 48700 37504 39727 29383 46585 34534 35986 42586 51236 48574 49822 48627 30911 49890 38730 45809 40530 56385 49129 35138 45256 47708…
5. Listed below are the values (in dollars) that a random sample of Americans spent on fast food per month. a. Construct a 99% confidence interval of the mean value of money spent on fast food by all Americans. 100 156 67 41 78 62 112 120 70 42 89 85 96 97 11 56 100 98 80 98 20 64 101 100 15 71 35 72 121 74 b. Interpret these results with respect to the amount Americans spend on fast food.
Create a 90% confidence interval for the data set below. 53 62 62 58 60 61 70 53 70 59 61 60 ( , ) [three decimal accuracy] [three decimal accuracy]
Create a 95% confidence interval for the data set below. 70 59 58 72 66 58 70 70 64 59 56 68 72 68 ( , ) [three decimal accuracy] [three decimal accuracy]
d) Construct a 90% confidence interval for Hcommunity college - Hno transfer to approximate the mean additional time it takes to complete a bachelor's degree if you begin in community college. The confidence interval is the range from to (Round to three decimal places as needed.)
Glaucoma is the leading cause of blindness in the United States. N. Ehlers measured the corneal thickness of nine patients who had glaucoma in one eye but not in the other. The following are the data on corneal thickness, in microns. Normal 484 478 492 444 430 398 464 404 476 Glaucoma 488 478 480 426 440 410 458 395 460 Construct and interpret a 95% confidence interval for the true mean difference in the mean corneal thickness in normal eyes and eyes with glaucoma. Include a filled out formula for your confidence interval and use the steps for a test hypothesis.
Listed below are the amounts of net worth in millions of the 10 wealthiest celebrities in a certain country. Construct a 90% confidence interval. What does the result tell us about the population of all the celebrities? Does the data appear to be from a normally distributed population as required? 247 208 196 173 166 161 148 148 143 143
In a survey funded by the UW school of medicine, 750 of 1000 adult Seattle residents said they did not believe they could come down with a sexually transmitted infection (STI). Construct a 95% confidence interval estimage of the proportion of adult Seattle residents who don't believe they can contract an STI. (Use a z score of 1.96 for your computations.) (.728, .772) (.723, .777) (.718, .782) (.713, .878) (.665, .835)
Refer to the accompanying data set and construct a 95% confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the results. Click the icon to view the pulse rates for adult females and adult males. Pulse Rates Pulse Rates (beats per minute) 84 76 50 61 53 63 52 74 55 63 75 60 62 77 82 64 69 94 41 88 Males 74 63 75 71 57 66 55 80 75 63 63 97 60 63 57 58 65 73. 82 56 4 Print Females 79 92 60 68 56 81 77 85 88 58 37 63 87 77 81 63 67 80 58 62 82 82 71 76 88 92 89 91 91 97 66 92 80 78 72 53 102 73 76 74 Done - X
1. The best point estimator for the average weight of current PBA players is __ kilograms 2. At 98% confidence, the estimate of the minimum weight of all PBA players is __ kilograms Kindly answer both questions please. Thanks.
A certified mechanic was timed for the repair of an automobile on 14 separate occasions.Over the same period, a trainee mechanic was timed for the repair of a similar automobile.The times in minutes are given belowCertified 344 276 257 334 267 164 222 343 212 175 211 311 209 188Trainee 222 342 178 234 398 232 377 211 309 190 351 343 177 269a. Calculate a 99% confidence interval for the mean time taken to repair the automobile by the (i) certified mechanic and (ii) the trainee mechanic. b. Test the hypothesis that the two mean times for both mechanics are equal. Use the 5% level of significance. c. Subsequently, it was learned that the times for the trainee were incorrectly recorded and that each of the values above is 30 minutes too small. What, if any, the difference does this make to the results of the test done in part (d)?
The following numbers represent five randomly selected individuals’ ages: 20, 32, 36, 42, 45. If the age distribution for the whole population follows a normal distribution, which one represents the 90% confidence interval for the mean age based on this particular sample? A ) (20.26, 49.74) B ) (25.66, 44.34) C ) (14.83, 55.17) D ) (28.28, 41.72) E ) (23.72, 46.28)

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