Which of these effects of climate change is NOT likely to negatively impact human health?
Atmospheric carbon dioxide levels, while overall increasing over the past several decades, do show regular cyclic fluctuations throughout the year. In what season are CO2 levels generally the lowest?
Which of these is an inducible defense?
In the south of France, winters are getting warmer, with fewer freezing nights. In this area, wild populations of the perennial herb Thymus vulgaris (thyme) successfully persist despite the changes. Survival of T. vulgaris has been linked to an increase in the proportion of plants that produce phenolic compounds. This is an example of ________.
a shift in phenological patterns in T. vulgaris in response to the effects of climate change
a shift in geographical range in T. vulgaris in response to the effects of climate change
a change in allele frequencies in T. vulgaris in response to the effects of climate change
the adaptation of T. vulgaris to a shift in precipitation patterns
In: Biology
Exhibit 2:
Current statistics show that, about 5% of the patients who are infected with the Novel Coronavirus are in serious or critical condition, and need ventilators and oxygen facilities. Suppose this is the population proportion. (The questions related to this Exhibit are designed so that you can see how statistical analyses can be used to fight against pandemics.)
1. Refer to Exhibit 2. Assume that in the City of Gotham, in the first week of outbreak, 256 citizens are tested positive for COVID-19. At least how many ventilators should be prepared to meet the possible demand. (Round up to the nearest integer that is larger than the result.)
2. Refer to Exhibit 2. Suppose the No. 1 district of the City of Gotham has 8100 residents living in it. If you were the head of the health department of the No. 1 district. To cope with the possible all-infection outbreak of COVID-19 in your district, you prepared 600 ventilators. Assuming in the worst case scenario, what is the probability that your prepared medical equipments are overwhelmed by the serious conditioned patients who are in need of the ventilators? (Round up to nearest four decimal place.)
3. Refer to Exhibit 2. Suppose the No. 1 district of the City of Gotham has 8100 residents living in it. If you were the head of the health department of the No. 1 district. To cope with the possible all-infection outbreak of COVID-19 in your district, you prepared 600 ventilators. Assuming in the worst case scenario, what is the probability that your prepared medical equipments are overwhelmed by the serious conditioned patients who are in need of the ventilators? (Round up to nearest four decimal place.)
In: Statistics and Probability
The corona virus pandemic has been, and will be, very costly to federal, state, and local governments as well as to businesses and to consumers. According to the Congressional Budget Office (2020):
CBO expects that the economy will contract sharply during the second quarter of 2020 as a result of the continued disruption of commerce stemming from the spread of the novel coronavirus. The following are CBO’s very preliminary estimates, which are based on information about the economy that was available through this morning and which include the effects of an economic boost from recently enacted legislation.
How will the decline in GDP and the rise in unemployment, and low interest rates affect federal, state, and local governments?
In: Economics
1. In the 1970s Dr. J Robin Warren used a technique not widely used by pathologists at the time, which allowed him to make novel observations that ultimately resulted in a new treatment for ulcers. What was this technique?
Select one:
a. The use of a fistula to see inside the stomach
b. The use of a high-power microscope
c. The use of a stain for visualizing bacteria
2. Darwin's observations in the Pampas grasslands of Argentina led him to the conclusion that
Select one:
a. species change through time.
b. species change with geographical distance.
c. the Earth must be much older than was widely believed at the time.
d. climate alone cannot account for the distribution of species.
e. similar species tend to be geographically clustered.
3. Which of the following historical figures argued that species were not fixed, i.e. able to change over time into new species?
Select one:
a. Cuvier
b. Aristotle
c. Hutton
d. Lamarck
e. Linnaeus
Monarch butterflies belong to the genus Danaus, the order Lepidoptera, the class Insecta and the family Nymphalidae. All members of the family Nymphalidae have brush-like hairs on their lower legs. The same brush-like hairs will be found on the lower legs of any other member of
Select one:
a. the genus Danaus
b. the class Insecta
c. All of these
d. the order Lepidoptera
The scientific name of the dove tree is Davidia involucrata Baillon. The word "Baillon" in this name is
Select one:
a. the subspecific epithet
b. the genus
c. the authority
d. the specific epithet
In: Biology
Create new series with quarterly money growth rates, inflation rates, velocity growth rates, and real GDP
growth rates.
Note: The quarterly growth rate of a variable x is the growth rate between two
consecutive quarters.
| STATISTICS CANADA | FED. RESERVE BANK OF ST.LOIUS DATABASE | ||
| v62295562 | NOMINAL GDP | GDP inplicit price deflator | M3 Canada |
| Quarterly | v62295562 | CANGDPDEFQISMEI | MABMM301CAQ189S |
| Q1 1981 | 354784 | 42.6981111563270 | 204311333333.333000 |
| Q2 1981 | 366788 | 43.6610414619373 | 207984000000.000000 |
| Q3 1981 | 371560 | 44.6289982488560 | 216848000000.000000 |
| Q4 1981 | 375352 | 45.2908438640580 | 218082333333.333000 |
| Q1 1982 | 381676 | 46.6083169696692 | 217479333333.333000 |
| Q2 1982 | 385140 | 47.5798005714623 | 219886000000.000000 |
| Q3 1982 | 388116 | 48.3739589515175 | 222330333333.333000 |
| Q4 1982 | 392160 | 49.3332837976593 | 224303666666.667000 |
| Q1 1983 | 401680 | 49.7132764420135 | 226140000000.000000 |
| Q2 1983 | 414192 | 50.2629287746804 | 224478333333.333000 |
| Q3 1983 | 427308 | 51.2735886446178 | 225279333333.333000 |
| Q4 1983 | 435584 | 51.6100587828056 | 227179000000.000000 |
| Q1 1984 | 446148 | 51.9704332373390 | 228299666666.667000 |
| Q2 1984 | 457828 | 52.3078242790523 | 232617333333.333000 |
| Q3 1984 | 463424 | 52.7234393892383 | 237141000000.000000 |
| Q4 1984 | 473572 | 53.0419705221036 | 240676666666.667000 |
| Q1 1985 | 484236 | 53.4248646801094 | 244980666666.667000 |
| Q2 1985 | 493432 | 54.2651363424060 | 248915000000.000000 |
| Q3 1985 | 501888 | 54.5050406104313 | 252450333333.333000 |
| Q4 1985 | 512744 | 54.8402543483894 | 257010333333.333000 |
| Q1 1986 | 516520 | 55.2563471757913 | 264237333333.333000 |
| Q2 1986 | 521696 | 55.4905938946598 | 268411333333.333000 |
| Q3 1986 | 528016 | 56.0912868820489 | 271948000000.000000 |
| Q4 1986 | 531568 | 56.8783672063315 | 281530000000.000000 |
| Q1 1987 | 550140 | 57.5331726280666 | 291176666666.667000 |
| Q2 1987 | 565020 | 58.3329586106209 | 299965333333.333000 |
| Q3 1987 | 579244 | 58.8991659148336 | 305585000000.000000 |
| Q4 1987 | 593300 | 59.5551334351729 | 308066333333.333000 |
| Q1 1988 | 608480 | 60.1983695890770 | 312459000000.000000 |
| Q2 1988 | 618684 | 60.6688271152181 | 322487333333.333000 |
| Q3 1988 | 628884 | 61.6639931654208 | 334801000000.000000 |
| Q4 1988 | 641556 | 62.4675832898810 | 342957666666.667000 |
| Q1 1989 | 653604 | 62.9230187813054 | 351835000000.000000 |
| Q2 1989 | 667232 | 63.9891857525244 | 362677333333.333000 |
| Q3 1989 | 676572 | 64.6515735155241 | 373417666666.667000 |
| Q4 1989 | 678696 | 64.9938035437062 | 385481666666.667000 |
| Q1 1990 | 689404 | 65.4053174795630 | 395554333333.333000 |
| Q2 1990 | 693132 | 66.0335409650038 | 403660333333.333000 |
| Q3 1990 | 695180 | 66.7074542949967 | 410993000000.000000 |
| Q4 1990 | 694272 | 67.2229092303363 | 418720000000.000000 |
| Q1 1991 | 691484 | 67.9358867564054 | 427352000000.000000 |
| Q2 1991 | 699036 | 68.3651754145162 | 432806000000.000000 |
| Q3 1991 | 702272 | 68.5940617050403 | 433277000000.000000 |
| Q4 1991 | 704220 | 68.6605906722587 | 439452666666.667000 |
| Q1 1992 | 707560 | 68.9409138782662 | 445822666666.667000 |
| Q2 1992 | 712328 | 69.3220218584220 | 450337333333.333000 |
| Q3 1992 | 719252 | 69.6211620321044 | 457429000000.000000 |
| Q4 1992 | 724936 | 69.7765180875810 | 464676666666.667000 |
| Q1 1993 | 731528 | 69.9656587109988 | 470009333333.333000 |
| Q2 1993 | 742932 | 70.4157578434308 | 472942333333.333000 |
| Q3 1993 | 747640 | 70.1916798780568 | 475799000000.000000 |
| Q4 1993 | 756332 | 70.7036428640034 | 479652333333.333000 |
| Q1 1994 | 770204 | 70.9563366240710 | 483569666666.667000 |
| Q2 1994 | 781204 | 70.9302942329507 | 489882666666.667000 |
| Q3 1994 | 798332 | 71.5711306989413 | 500109333333.333000 |
| Q4 1994 | 808288 | 71.9416971772689 | 503524666666.667000 |
| Q1 1995 | 821384 | 72.4390916469671 | 507562000000.000000 |
| Q2 1995 | 826212 | 72.8401001006197 | 515417000000.000000 |
| Q3 1995 | 830332 | 73.1077825297892 | 524551000000.000000 |
| Q4 1995 | 837964 | 73.4818206549499 | 529711333333.333000 |
| Q1 1996 | 841428 | 73.7397502509859 | 539296666666.667000 |
| Q2 1996 | 850092 | 73.9840384720222 | 545921666666.667000 |
| Q3 1996 | 861784 | 74.3493097777886 | 550767333333.333000 |
| Q4 1996 | 874788 | 74.8757297563110 | 555780666666.667000 |
| Q1 1997 | 888792 | 75.0836834730396 | 565661666666.667000 |
| Q2 1997 | 896372 | 74.8808106697226 | 570634000000.000000 |
| Q3 1997 | 909568 | 75.0860762489510 | 575824666666.667000 |
| Q4 1997 | 920876 | 75.2978869642336 | 585015666666.667000 |
| Q1 1998 | 931392 | 75.1046350933545 | 588563000000.000000 |
| Q2 1998 | 931908 | 75.1135712732412 | 592121000000.000000 |
| Q3 1998 | 935696 | 74.7257156114256 | 597459000000.000000 |
| Q4 1998 | 950184 | 74.8713125826619 | 602598666666.667000 |
| Q1 1999 | 971824 | 75.2132579621472 | 602128666666.667000 |
| Q2 1999 | 990748 | 76.0392703195479 | 613186666666.667000 |
| Q3 1999 | 1017736 | 76.9124930375418 | 621062333333.334000 |
| Q4 1999 | 1037516 | 77.3084355684222 | 632911000000.000000 |
| Q1 2000 | 1066576 | 78.2253076703945 | 648037333333.333000 |
| Q2 2000 | 1095808 | 79.4231270199059 | 658563666666.667000 |
| Q3 2000 | 1117980 | 80.2197887281136 | 674680666666.667000 |
| Q4 2000 | 1129156 | 80.8777498195676 | 683844000000.000000 |
| Q1 2001 | 1145988 | 81.6584179087384 | 693688666666.667000 |
| Q2 2001 | 1148844 | 81.6511752702768 | 696378000000.000000 |
| Q3 2001 | 1134708 | 80.7075989533769 | 704540333333.334000 |
| Q4 2001 | 1132480 | 80.0583261990426 | 716819666666.667000 |
| Q1 2002 | 1154524 | 80.4186128711966 | 729263333333.333000 |
| Q2 2002 | 1181544 | 81.8342312523710 | 734895000000.000000 |
| Q3 2002 | 1199908 | 82.3863168304407 | 750366666666.667000 |
| Q4 2002 | 1221832 | 83.4295096246934 | 758437000000.000000 |
| Q1 2003 | 1245676 | 84.5915961928836 | 761874333333.334000 |
| Q2 2003 | 1233300 | 83.8756114085764 | 782063333333.334000 |
| Q3 2003 | 1253900 | 84.9563535157002 | 796029000000.000000 |
| Q4 2003 | 1268384 | 85.3524375953563 | 807003000000.000000 |
| Q1 2004 | 1291688 | 86.2984173391169 | 830867000000.000000 |
| Q2 2004 | 1323544 | 87.3933537225520 | 850392666666.666000 |
| Q3 2004 | 1346952 | 87.8940467656236 | 863960666666.666000 |
| Q4 2004 | 1362528 | 88.2766989258531 | 885819000000.000000 |
| Q1 2005 | 1375720 | 88.8284711216400 | 914545000000.000000 |
| Q2 2005 | 1394868 | 89.4281759217071 | 938963333333.334000 |
| Q3 2005 | 1432508 | 90.7248398753612 | 954247000000.000000 |
| Q4 2005 | 1465016 | 91.8737448622839 | 962154666666.666000 |
| Q1 2006 | 1471532 | 91.5485959664185 | 981504666666.666000 |
| Q2 2006 | 1486320 | 92.4240019517174 | 999682333333.334000 |
| Q3 2006 | 1500672 | 93.0578461870277 | 1022335000000.000000 |
| Q4 2006 | 1510304 | 93.3031750994111 | 1049037333333.330000 |
| Q1 2007 | 1543024 | 94.7121381586897 | 1076024666666.670000 |
| Q2 2007 | 1572372 | 95.5909583532087 | 1102485333333.330000 |
| Q3 2007 | 1578004 | 95.5363830210746 | 1142791333333.330000 |
| Q4 2007 | 1600728 | 96.7766040729664 | 1178060333333.330000 |
| Q1 2008 | 1633172 | 98.6795982118646 | 1211173333333.330000 |
| Q2 2008 | 1673096 | 100.7423478842510 | 1251918000000.000000 |
| Q3 2008 | 1690428 | 100.9439216617930 | 1280277333333.330000 |
| Q4 2008 | 1614996 | 97.5679320107047 | 1304474333333.330000 |
| Q1 2009 | 1553180 | 96.0274938544994 | 1298672333333.330000 |
| Q2 2009 | 1544376 | 96.5485034790035 | 1298280333333.330000 |
| Q3 2009 | 1563964 | 97.3326293089344 | 1305895333333.330000 |
| Q4 2009 | 1607940 | 98.9011493507786 | 1314978666666.670000 |
| Q1 2010 | 1640056 | 99.6888942637875 | 1328744333333.330000 |
| Q2 2010 | 1649184 | 99.7309222511040 | 1362917666666.670000 |
| Q3 2010 | 1661488 | 99.7625657199286 | 1392024666666.670000 |
| Q4 2010 | 1697792 | 100.8028477235720 | 1405771666666.670000 |
| Q1 2011 | 1733840 | 102.1875932072840 | 1431352666666.670000 |
| Q2 2011 | 1755640 | 103.2762483720390 | 1457841333333.330000 |
| Q3 2011 | 1781600 | 103.3687046675840 | 1489281000000.000000 |
| Q4 2011 | 1808604 | 104.1128450595840 | 1521511000000.000000 |
| Q1 2012 | 1810720 | 104.2014186581510 | 1551157000000.000000 |
| Q2 2012 | 1814628 | 104.0827415172180 | 1575889000000.000000 |
| Q3 2012 | 1826288 | 104.5453545777180 | 1595356333333.330000 |
| Q4 2012 | 1839596 | 105.1788905382050 | 1610977000000.000000 |
| Q1 2013 | 1872136 | 105.9475735850920 | 1636067666666.670000 |
| Q2 2013 | 1881924 | 105.8155098284980 | 1670534000000.000000 |
| Q3 2013 | 1907692 | 106.3926058259960 | 1698329666666.670000 |
| Q4 2013 | 1928372 | 106.4727711361750 | 1750656666666.670000 |
| Q1 2014 | 1958572 | 108.0058207369650 | 1789161666666.670000 |
| Q2 2014 | 1983684 | 108.0948484736960 | 1812507000000.000000 |
| Q3 2014 | 2009164 | 108.6916968608050 | 1855005333333.330000 |
| Q4 2014 | 2009312 | 108.2081792915810 | 1891814000000.000000 |
| Q1 2015 | 1985880 | 107.1608188524930 | 1928273666666.670000 |
| Q2 2015 | 1987968 | 107.4289333876190 | 1954606333333.330000 |
| Q3 2015 | 2005556 | 107.7699515620920 | 2018570666666.670000 |
| Q4 2015 | 2000240 | 107.3727068910550 | 2055766000000.000000 |
| Q1 2016 | 2008964 | 107.1804260993930 | 2099063333333.330000 |
| Q2 2016 | 2009416 | 107.4862374222420 | 2144635000000.000000 |
| Q3 2016 | 2044564 | 108.2285573437300 | 2197352000000.000000 |
| Q4 2016 | 2079080 | 109.4481762883230 | 2234697333333.330000 |
| Q1 2017 | 2115064 | 110.2520311567150 | 2251366000000.000000 |
| Q2 2017 | 2136712 | 110.1958833973290 | 2301119333333.330000 |
| Q3 2017 | 2145824 | 110.2431624671200 | 2290363666666.670000 |
In: Economics
7. You’ve administered a shock with the AED. What will the voice prompts instruct you to do next?
a. Remove the AED pads.
b. Give a second shock.
c. Begin giving compressions.
d. Wait a moment to see if the shock worked.
e. Turn off the AED.
8. During CPR, you should give chest compressions at a rate of about
a. 30 per minute
b. 40 per minute
c. 60 per minute
d. 100 per minute
e. 120 per minute
9. To determine whether an athlete is unresponsive, you should first clear the athlete’s airway.
a. true
b. false
10. Which of the following is true regarding the use of an AED?
a. If a pad is not sticking to the athlete, press down on the pad while the AED is delivering the shock.
b. An AED can automatically detect if a heart rate is that of an infant, child, or adult.
c. If the AED says a shock is not advised but the athlete is still unresponsive, it is best to shock anyway.
d. If a shock is indicated, make sure no one is touching the athlete before pressing the shock button on the AED.
In: Nursing
Answer the following questions to complete Homework
1. Use PubMed or another abstract database to find an academic journal article on a health topic of interest to you. Read the article to find the answers to these questions: (a) What was the main study question? (b) Who participated in the study, where did it take place, and when was it conducted? (c) What study design was used? and (d) What was the answer to the main study question?
2. Find a recent news story from the popular press about a newly released health research report. Look up and read the scientific article on which the news report was based. Was the news story accurate? Did it leave out any critical information?
3. Do you identify with a particular ethnic group? Do you know of any health conditions that you are at special risk for because of your ethnic background? Are these conditions genetic? Are they related to health behaviors?
4. What are some of the conditions related to poverty that increase the risk of infectious diseases? Noncommunicable disease? Neuropsychiatric disorders? Injuries?
In: Nursing
In this exercise, you will calculate and graph confidence intervals that arise from many samples of the same size drawn from the same population. The aim of the exercise is for you to see what the confidence level means. In this exercise, we will use 95% confidence.
(1) The population will consist of the four values: 5, 10, 15, 50. Enter the data in your calculator and get the mean and population standard deviation.
I am having trouble with this question. My teacher gave us the answers but it doesn't show the work. The correct answers are mean= 20 and population standard deviation= 17.68
(TI-84 calc) When I try and solve this what I do is I put 5, 10, 15, and 50 all in the L1 data in my calculator. After that I do a TInterval test with C-level as 0.95 and List as L1 and press calculate. I end up getting 20 for my mean but Sx= 20.4124... when it should be 17.68. Am I going at this the wrong way and getting the mean just by coincidence?
In: Statistics and Probability
There is a famous quote often attributed to Albert Einstein that says:
“No amount of experimentation can ever prove me right; a single experiment can prove me wrong.”
There is some dispute about whether Einstein ever said this, but it might reflect his sentiments as more accurately cited in the book Mathematical Problems in Elasticity (Remigio Russo 1996):
“At this time the anti-relativity clique in Germany […] published a book called 100 Authors Against Einstein. Einstein informed that press that if relativity was wrong they would only need one author.”
Each quote captures an important aspect of the Popperian hypothetico-deductive account of science: knowledge comes from experimental falsification of a hypothesis rather than from experimental confirmation of one.
QUESTION: Explain how an inductivist might respond to this claim regarding falsification and knowledge. Do you agree with this response? Explain and justify your answer. In doing so, consider to what extent inductivists and Popperians have mutually exclusive ideals of what makes science rational, or whether they are, in some way, complementary.
In: Physics
Criminal Justice Statistics
The current COVID-19 Pandemic is threatening the health of all people and the world economy. During a recent press conference members from the White House Coronavirus Team identified a pattern suggesting that Black and American Indian individuals, while not more or less likely to be infected with COVID-19, tend to have more severe outcomes when infected. In other words, Black and American Indian individuals (as a group) express more severe symptoms and higher rates of morbidity than individuals of other races or ethnicities. There is no evidence at this time of a genetic component.
Using readily available sources identify and evaluate the possible causes of this increased severity and morbidity among these individuals. Include statistical information (comparing morbidity rates among various racial groups) in your response. Limit your discussion to bona fide scientific inquiries from actual medical professionals rather than editorial comments or conjecture. You may also want to consider that this same pattern tends to exist in other forms of medical maladies.
In: Statistics and Probability