Nominal return 11.60 Inflation 2.6 Real rate of retur.pdf
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Nominal return 11.60% Inflation 2.6% Real rate of return 8.77% Using the formula (1+ real return)*(1+ inflation)= (1+ Nominal return) Solution Nominal return 11.60% Inflation 2.6% Real rate of return 8.77% Using the formula (1+ real return)*(1+ inflation)= (1+ Nominal return).
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PV = n(total) RT n = 1.09 8.90 0.0821 298 = .pdf
PV = n(total) RT n = 1.09 * 8.90 / 0.0821* 298 = 0.3965 = 0.130+ 0.041+ 0.1 + x
=> x= 0.126 moles of co2
Solution
PV = n(total) RT n = 1.09 * 8.90 / 0.0821* 298 = 0.3965 = 0.130+ 0.041+ 0.1 + x
=> x= 0.126 moles of co2.
Looks like C is meso. Everything else looks good!.pdf
Looks like C is meso. Everything else looks good! good luck!
Solution
Looks like C is meso. Everything else looks good! good luck!.
Mass is the amount of material in an object or ho.pdf
Mass is the amount of material in an object or how much matter an object has.
Solution
Mass is the amount of material in an object or how much matter an object has..
What precisely is huge data A report delivered to the U.S. Congress.pdf
What precisely is huge data? A report delivered to the U.S. Congress in August 2012 defines
huge knowledge as “large volumes of high speed, complex, and variable knowledge that need
advanced techniques and technologies to alter the capture, storage, distribution, management and
analysis of the information” [6]. huge knowledge encompasses such characteristics as selection,
speed and, with respect specifically to care, truthfulness [20, 21, 22, 23]. Existing analytical
techniques are often applied to the large quantity of existing (but presently unanalyzed) patient-
related health and medical knowledge to achieve a deeper understanding of outcomes, that then
are often applied at the purpose of care. Ideally, individual and population knowledge would
inform every medical man and her patient throughout the decision-making method and facilitate
verify the foremost applicable treatment possibility for that specific patient.
Advantages to care
By digitizing, combining and effectively exploitation huge knowledge, care organizations
starting from single-physician offices and multi-provider teams to massive hospital networks and
responsible care organizations stand to appreciate important advantages [2]. Potential advantages
embody detection diseases at earlier stages once they are often treated additional simply and
effectively; managing specific individual and population health and detection health care fraud
additional quickly and with efficiency. varied queries are often addressed with huge knowledge
analytics. sure developments or outcomes could also be expected and/or calculable supported
large amounts of historical knowledge, like length of keep (LOS); patients WHO can opt for
elective surgery; patients WHO probably won\'t like surgery; complications; patients in danger
for medical complications; patients in danger for infection, MRSA, C. difficile, or alternative
hospital-acquired illness; illness/disease progression; patients in danger for advancement in
illness states; causative factors of illness/disease progression; and attainable co-morbid
conditions (EMC Consulting). McKinsey estimates that huge knowledge analytics will alter over
$300 billion in savings annually in U.S. healthcare, 2 thirds of that through reductions of roughly
8 May 1945 in national care expenditures. Clinical operations and R & D square measure 2 of
the biggest areas for potential savings with $165 billion and $108 billion in waste severally [24].
McKinsey believes huge knowledge may facilitate scale back waste and unskillfulness within the
following 3 areas:
Clinical operations: Comparative effectiveness analysis to work out additional clinically relevant
and cost-efficient ways that to diagnose and treat patients.
BOARD_SIZE = eight
def under_attack(col, queens): # (col, queens) what\'s their meaning? What do i would like to jot
down it this field?
left = right = mountain pass
for r, c in reversed(queens): # What will reversed means that during this loop? For what re.
wireless communication -wireless communication is the transfer of.pdf
wireless communication :-
wireless communication is the transfer of data from one device to another device without the use
of any physical media.
Risks with wireless communication :-
1.virus
2.scams
3.Blindness
4.Radiation
5.Phone Tapping
Safeguards with wireless communication :-
The safeguards might you use in accessing an unprotected (public) wireless communications are
install a personal firewall and dont reply to spam at any cost.
Solution
wireless communication :-
wireless communication is the transfer of data from one device to another device without the use
of any physical media.
Risks with wireless communication :-
1.virus
2.scams
3.Blindness
4.Radiation
5.Phone Tapping
Safeguards with wireless communication :-
The safeguards might you use in accessing an unprotected (public) wireless communications are
install a personal firewall and dont reply to spam at any cost..
THe H2O2 concentration might be low as some H2O2 may decompose by ta.pdf
THe H2O2 concentration might be low as some H2O2 may decompose by taking the heat from
the surroundings.
Solution
THe H2O2 concentration might be low as some H2O2 may decompose by taking the heat from
the surroundings..
The Differential equation isdydx +ay = alphaxe-axIF = eaxHenc.pdf
The Differential equation is
dy/dx +ay = alphaxe-ax
IF = eax
Hence general solution is yeax = integral of alphax dx
= alphax^2/2
Solution
The Differential equation is
dy/dx +ay = alphaxe-ax
IF = eax
Hence general solution is yeax = integral of alphax dx
= alphax^2/2.
Supertrampsspecies in the play imprtant role in the environment, bec.pdf
Supertrampsspecies in the play imprtant role in the environment, because they had good
colonizing ability that arrive earliest in a new habitat like volcanic islands and freshly deforested
land. They insert profoundly negative effects on more highly specialized flora and fauna, by the
predation directly and indirectly through competition for resources. They follows the high
dispersion among many different habitats. the term Supertrampsspecies initially applied only to
birds, then it is applied to insects and reptiles as well, among others; any species which can
migrate can be a supertramp.
Few species of supertramps occur only on islands, and dissapeard when value of S is increased
from some critical level. So supertramps are characterised by the high dispersal ability, high
reproductive potential and unspecialised habitat affinity.
Solution
Supertrampsspecies in the play imprtant role in the environment, because they had good
colonizing ability that arrive earliest in a new habitat like volcanic islands and freshly deforested
land. They insert profoundly negative effects on more highly specialized flora and fauna, by the
predation directly and indirectly through competition for resources. They follows the high
dispersion among many different habitats. the term Supertrampsspecies initially applied only to
birds, then it is applied to insects and reptiles as well, among others; any species which can
migrate can be a supertramp.
Few species of supertramps occur only on islands, and dissapeard when value of S is increased
from some critical level. So supertramps are characterised by the high dispersal ability, high
reproductive potential and unspecialised habitat affinity..
Recommended
PV = n(total) RT n = 1.09 8.90 0.0821 298 = .pdf
PV = n(total) RT n = 1.09 * 8.90 / 0.0821* 298 = 0.3965 = 0.130+ 0.041+ 0.1 + x
=> x= 0.126 moles of co2
Solution
PV = n(total) RT n = 1.09 * 8.90 / 0.0821* 298 = 0.3965 = 0.130+ 0.041+ 0.1 + x
=> x= 0.126 moles of co2.
Looks like C is meso. Everything else looks good!.pdf
Looks like C is meso. Everything else looks good! good luck!
Solution
Looks like C is meso. Everything else looks good! good luck!.
Mass is the amount of material in an object or ho.pdf
Mass is the amount of material in an object or how much matter an object has.
Solution
Mass is the amount of material in an object or how much matter an object has..
What precisely is huge data A report delivered to the U.S. Congress.pdf
What precisely is huge data? A report delivered to the U.S. Congress in August 2012 defines
huge knowledge as “large volumes of high speed, complex, and variable knowledge that need
advanced techniques and technologies to alter the capture, storage, distribution, management and
analysis of the information” [6]. huge knowledge encompasses such characteristics as selection,
speed and, with respect specifically to care, truthfulness [20, 21, 22, 23]. Existing analytical
techniques are often applied to the large quantity of existing (but presently unanalyzed) patient-
related health and medical knowledge to achieve a deeper understanding of outcomes, that then
are often applied at the purpose of care. Ideally, individual and population knowledge would
inform every medical man and her patient throughout the decision-making method and facilitate
verify the foremost applicable treatment possibility for that specific patient.
Advantages to care
By digitizing, combining and effectively exploitation huge knowledge, care organizations
starting from single-physician offices and multi-provider teams to massive hospital networks and
responsible care organizations stand to appreciate important advantages [2]. Potential advantages
embody detection diseases at earlier stages once they are often treated additional simply and
effectively; managing specific individual and population health and detection health care fraud
additional quickly and with efficiency. varied queries are often addressed with huge knowledge
analytics. sure developments or outcomes could also be expected and/or calculable supported
large amounts of historical knowledge, like length of keep (LOS); patients WHO can opt for
elective surgery; patients WHO probably won\'t like surgery; complications; patients in danger
for medical complications; patients in danger for infection, MRSA, C. difficile, or alternative
hospital-acquired illness; illness/disease progression; patients in danger for advancement in
illness states; causative factors of illness/disease progression; and attainable co-morbid
conditions (EMC Consulting). McKinsey estimates that huge knowledge analytics will alter over
$300 billion in savings annually in U.S. healthcare, 2 thirds of that through reductions of roughly
8 May 1945 in national care expenditures. Clinical operations and R & D square measure 2 of
the biggest areas for potential savings with $165 billion and $108 billion in waste severally [24].
McKinsey believes huge knowledge may facilitate scale back waste and unskillfulness within the
following 3 areas:
Clinical operations: Comparative effectiveness analysis to work out additional clinically relevant
and cost-efficient ways that to diagnose and treat patients.
BOARD_SIZE = eight
def under_attack(col, queens): # (col, queens) what\'s their meaning? What do i would like to jot
down it this field?
left = right = mountain pass
for r, c in reversed(queens): # What will reversed means that during this loop? For what re.
wireless communication -wireless communication is the transfer of.pdf
wireless communication :-
wireless communication is the transfer of data from one device to another device without the use
of any physical media.
Risks with wireless communication :-
1.virus
2.scams
3.Blindness
4.Radiation
5.Phone Tapping
Safeguards with wireless communication :-
The safeguards might you use in accessing an unprotected (public) wireless communications are
install a personal firewall and dont reply to spam at any cost.
Solution
wireless communication :-
wireless communication is the transfer of data from one device to another device without the use
of any physical media.
Risks with wireless communication :-
1.virus
2.scams
3.Blindness
4.Radiation
5.Phone Tapping
Safeguards with wireless communication :-
The safeguards might you use in accessing an unprotected (public) wireless communications are
install a personal firewall and dont reply to spam at any cost..
THe H2O2 concentration might be low as some H2O2 may decompose by ta.pdf
THe H2O2 concentration might be low as some H2O2 may decompose by taking the heat from
the surroundings.
Solution
THe H2O2 concentration might be low as some H2O2 may decompose by taking the heat from
the surroundings..
The Differential equation isdydx +ay = alphaxe-axIF = eaxHenc.pdf
The Differential equation is
dy/dx +ay = alphaxe-ax
IF = eax
Hence general solution is yeax = integral of alphax dx
= alphax^2/2
Solution
The Differential equation is
dy/dx +ay = alphaxe-ax
IF = eax
Hence general solution is yeax = integral of alphax dx
= alphax^2/2.
Supertrampsspecies in the play imprtant role in the environment, bec.pdf
Supertrampsspecies in the play imprtant role in the environment, because they had good
colonizing ability that arrive earliest in a new habitat like volcanic islands and freshly deforested
land. They insert profoundly negative effects on more highly specialized flora and fauna, by the
predation directly and indirectly through competition for resources. They follows the high
dispersion among many different habitats. the term Supertrampsspecies initially applied only to
birds, then it is applied to insects and reptiles as well, among others; any species which can
migrate can be a supertramp.
Few species of supertramps occur only on islands, and dissapeard when value of S is increased
from some critical level. So supertramps are characterised by the high dispersal ability, high
reproductive potential and unspecialised habitat affinity.
Solution
Supertrampsspecies in the play imprtant role in the environment, because they had good
colonizing ability that arrive earliest in a new habitat like volcanic islands and freshly deforested
land. They insert profoundly negative effects on more highly specialized flora and fauna, by the
predation directly and indirectly through competition for resources. They follows the high
dispersion among many different habitats. the term Supertrampsspecies initially applied only to
birds, then it is applied to insects and reptiles as well, among others; any species which can
migrate can be a supertramp.
Few species of supertramps occur only on islands, and dissapeard when value of S is increased
from some critical level. So supertramps are characterised by the high dispersal ability, high
reproductive potential and unspecialised habitat affinity..
The act had a profound effect on corporate governance in the United .pdf
The act had a profound effect on corporate governance in the United States. The Sarbanes-Oxley
Act requires public companies to strengthen audit committees, perform internal controls tests, set
personal liability of directors and officers for accuracy of financial statements, and strengthen
disclosure. The Sarbanes-Oxley Act also establishes stricter criminal penalties for securities
fraud and changes how public accounting firms operate their businesses.
One direct effect of the Sarbanes-Oxley Act on corporate governance is the strengthening of
audit committees at public companies. The audit committee receives wide leverage in overseeing
the company\'s top management accounting decisions. The audit committee members must be
independent of the top management and gain new responsibilities such as approving numerous
audit and non-audit services, selecting and overseeing external auditors, and handling complaints
regarding the management\'s accounting practices.
The costliest part of the Sarbanes-Oxley Act is Section 404, which requires public companies to
perform extensive internal control tests and include an internal control report with their annual
audits. Testing and documenting manual and automated controls in financial reporting requires
enormous effort and involvement of not only external accountants, but also experienced IT
personnel. The compliance cost is especially burdensome for companies that heavily rely on
manual controls. The Sarbanes-Oxley Act encouraged companies to make their financial
reporting more efficient, centralized and automated.
The Sarbanes-Oxley Act changes management\'s responsibility for financial reporting
significantly. The act requires that top managers personally certify the accuracy of financial
reports. If a top manager knowingly or willfully makes a false certification, he can face 10 to 20
years in prison. If the company is forced to make a required accounting restatement due to
management\'s misconduct, top managers can be forced to give up their bonuses or profits made
from selling the company\'s stock. If the director or officer is convicted in securities law
violation, he can be prohibited from serving in the same role at the public company.
The Sarbanes-Oxley Act significantly strengthens the disclosure requirement. Public companies
are required to disclose any material off-balance sheet arrangements, such as operating leases
and special purposes entities. The company is also required to disclose any pro forma statements
and how they would look under the generally accepted accounting principles (GAAP). Insiders
must report their stock transactions to the Securities and Exchange Commission (SEC) within
two business days as well.
The Sarbanes-Oxley Act imposes harsher punishment for obstructing justice and securities fraud,
mail fraud and wire fraud. The maximum sentence term for securities fraud increased to 25
years, and the maximum prison time for obstruction of justice increased to 20 years. The act.
Statistical DistributionsEvery statistics book provides a list.pdf
Statistical Distributions
Every statistics book provides a listing of statistical distributions, with their properties, but
browsing through these choices can be frustrating to anyone without a statistical background, for
two reasons. First, the choices seem endless, with dozens of distributions competing for your
attention, with little or no intuitive basis for differentiating between them. Second, the
descriptions tend to be abstract and emphasize statistical properties such as the moments,
characteristic functions and cumulative distributions. In this appendix, we will focus on the
aspects of distributions that are most useful when analyzing raw data and trying to fit the right
distribution to that data.
Fitting the Distribution
When confronted with data that needs to be characterized by a distribution, it is best to start with
the raw data and answer four basic questions about the data that can help in the characterization.
The first relates to whether the data can take on only discrete values or whether the data is
continuous; whether a new pharmaceutical drug gets FDA approval or not is a discrete value but
the revenues from the drug represent a continuous variable. The second looks at the symmetry of
the data and if there is asymmetry, which direction it lies in; in other words, are positive and
negative outliers equally likely or is one more likely than the other. The third question is whether
there are upper or lower limits on the data;; there are some data items like revenues that cannot
be lower than zero whereas there are others like operating margins that cannot exceed a value
(100%). The final and related question relates to the likelihood of observing extreme values in
the distribution; in some data, the extreme values occur very infrequently whereas in others, they
occur more often.
Is the data discrete or continuous?
The first and most obvious categorization of data should be on whether the data is restricted to
taking on only discrete values or if it is continuous. Consider the inputs into a typical project
analysis at a firm. Most estimates that go into the analysis come from distributions that are
continuous; market size, market share and profit margins, for instance, are all continuous
variables. There are some important risk factors, though, that can take on only discrete forms,
including regulatory actions and the threat of a terrorist attack; in the first case, the regulatory
authority may dispense one of two or more decisions which are specified up front and in the
latter, you are subjected to a terrorist attack or you are not.
With discrete data, the entire distribution can either be developed from scratch or the data can be
fitted to a pre-specified discrete distribution. With the former, there are two steps to building the
distribution. The first is identifying the possible outcomes and the second is to estimate
probabilities to each outcome. As we noted in the text, we can draw on historical data or
experience as .
second student expressed in better formhe made z independant, and .pdf
second student expressed in better form
he made z independant, and x,y dependant on z
Solution
second student expressed in better form
he made z independant, and x,y dependant on z.
AnswerProperties area.) Enthalpy, c.) Mass, e.) DensitySolu.pdf
Answer:
Properties are
a.) Enthalpy, c.) Mass, e.) Density
Solution
Answer:
Properties are
a.) Enthalpy, c.) Mass, e.) Density.
in He2 there are total of four electrons which can be placed on both.pdf
in He2 there are total of four electrons which can be placed on both bonding and antibonding
orbital. So both the bonding and the antibonding orbital have two electrons each.
so bond order for He2 = [no. e in bonding - no.e in antibonding ]/2
= (4-4)/2 = 0
for He 2+ = there are thre electrons among which two are in the bonding Molecular orbital and
one in antibonding mo
so bond order = 2-1/2 = 0.5
for He2- two bonding and two antibonding
another one is in next 2sigmag bonding molecular orbital .
so b.o = 5-2/2= 1.5
so He2 _ has the highest bond order.
Solution
in He2 there are total of four electrons which can be placed on both bonding and antibonding
orbital. So both the bonding and the antibonding orbital have two electrons each.
so bond order for He2 = [no. e in bonding - no.e in antibonding ]/2
= (4-4)/2 = 0
for He 2+ = there are thre electrons among which two are in the bonding Molecular orbital and
one in antibonding mo
so bond order = 2-1/2 = 0.5
for He2- two bonding and two antibonding
another one is in next 2sigmag bonding molecular orbital .
so b.o = 5-2/2= 1.5
so He2 _ has the highest bond order..
Egg polarity is the orientation of the egg. In developmental biology.pdf
Egg polarity is the orientation of the egg. In developmental biology, all animal eggs have 2 poles
one is anterior animal pole and the other is posterior vegetal pole, these poles are connected by
the axis of the egg. The plane that bisects the main axis at right angle is the equitorial plane.
Cytoplasmic determinants are molecules essential during oocyte matuaration in the ovary of
female and may control gene expression. These are present in the region of egg\'s cytoplasm
whcih results in included in the blastomeres.
Dorso-ventral and Antero-posterior axis are established in egg and embryo by maternal effect
genes (egg-polarity genes).
In the early embroyonic development, cytoplasmic determinants already present in unfertilised
egg encoded by mother\'s egg-polarity genes and these genes encode proteins that are existing in
the egg while still in the mother\'s ovary.
Solution
Egg polarity is the orientation of the egg. In developmental biology, all animal eggs have 2 poles
one is anterior animal pole and the other is posterior vegetal pole, these poles are connected by
the axis of the egg. The plane that bisects the main axis at right angle is the equitorial plane.
Cytoplasmic determinants are molecules essential during oocyte matuaration in the ovary of
female and may control gene expression. These are present in the region of egg\'s cytoplasm
whcih results in included in the blastomeres.
Dorso-ventral and Antero-posterior axis are established in egg and embryo by maternal effect
genes (egg-polarity genes).
In the early embroyonic development, cytoplasmic determinants already present in unfertilised
egg encoded by mother\'s egg-polarity genes and these genes encode proteins that are existing in
the egg while still in the mother\'s ovary..
Every network and system has some loop holes and weaknesses so the i.pdf
Every network and system has some loop holes and weaknesses so the intruders tries to get in to
that network and hack the system. Network has so many weaknesses some of them are Operating
system weakness, configuration weakness, technology weakness.
- Coming to the vulnerabilities factors the intrudors or hacklers tries to find the weak spot in the
network or device and tries to get in to that system. There are operating systems like UNIX,
LINUX, Windows all these operating systems have some loop holes, these loop holes must be
rectified. Passwords must be very typical that they would not have a chance of guessing that one.
Every networks runs with some protocols. some of them are http, ftp, icmp. These are less
insecure so these protocols must be secured properly.
- Coming to the threats these are nothing but hackers and crackers that try to get in to that
network and change the data. There atr several trypes of threats like hackers, crackers, phisher
etc., The hackers try to get in to the network through a unauthorizes access and get the system in
his control and the cracker gets in to the network through by sending some different viruses and
gets the access over the network o0r system. Pischer in the sense they send so many mails which
is not useful to us when we open to them we might effect with the viruses and this is one type of
threat to the system.
Solution
Every network and system has some loop holes and weaknesses so the intruders tries to get in to
that network and hack the system. Network has so many weaknesses some of them are Operating
system weakness, configuration weakness, technology weakness.
- Coming to the vulnerabilities factors the intrudors or hacklers tries to find the weak spot in the
network or device and tries to get in to that system. There are operating systems like UNIX,
LINUX, Windows all these operating systems have some loop holes, these loop holes must be
rectified. Passwords must be very typical that they would not have a chance of guessing that one.
Every networks runs with some protocols. some of them are http, ftp, icmp. These are less
insecure so these protocols must be secured properly.
- Coming to the threats these are nothing but hackers and crackers that try to get in to that
network and change the data. There atr several trypes of threats like hackers, crackers, phisher
etc., The hackers try to get in to the network through a unauthorizes access and get the system in
his control and the cracker gets in to the network through by sending some different viruses and
gets the access over the network o0r system. Pischer in the sense they send so many mails which
is not useful to us when we open to them we might effect with the viruses and this is one type of
threat to the system..
confounding -- they are both caused by something else - wealth.pdf
confounding -- they are both caused by something else - wealth
Solution
confounding -- they are both caused by something else - wealth.
a. Journal entry fro revaluation of assetb. Journal entry for admi.pdf
a. Journal entry fro revaluation of asset
b. Journal entry for admiting wonderParticularsDebitcreditLand75000Revaluation Reserve75000
Solution
a. Journal entry fro revaluation of asset
b. Journal entry for admiting wonderParticularsDebitcreditLand75000Revaluation Reserve75000.
a) 2n-1 =12-1=11it was turners syndrome so the person has one sex .pdf
a) 2n-1 =12-1=11
it was turners syndrome so the person has one sex chromosome less than normal person
Solution
a) 2n-1 =12-1=11
it was turners syndrome so the person has one sex chromosome less than normal person.
2, Steven O’Brien’s suggested that the survivors of Plague during th.pdf
2, Steven O’Brien’s suggested that the survivors of Plague during the 1600’s pandemic had some
sort of genetic changes which led to increased survival. To test this hypothesis he decided to
analyse the DNA sample of Plague survivor.
For testing this he selected an isolated town called Eyam. The population here is known to have
survived from Plague epidemic. Everyone here must have exposed to plague bacterium and those
who survived must have the genetic mutation in their genes. He also suggested that the survivors
who have the genetic mutation in their DNA would have transferred their mutation to succeeding
generations. Eyam was keeping a parish registry from which he was able to trace the descendants
of plague survivors. He collected blood samples and tested for delta 32 mutation in white blood
cells .
He was able to get 14% positive cases from whole population tested; to emphasis on his findings
he need to prove that this 14% is a significant number. Further he collected blood samples from
all over the world and tested for delta 32 mutation in them, the result was 0% for the population
who never had a exposure to Plague before. Thus he proved his hypothesis.
The Plague survivor has mutation name delta32 in CCR5 gene which may have prevented the
plague from entering the host cells.
During the global study in search for delta32 mutation he found out that there are people with
delta32 mutation in other part of Europe as well which had been affected by plague earlier. Also
Plague survivors and their descendants from Europe who has settled in America also showed this
mutation in their genes.
Solution
2, Steven O’Brien’s suggested that the survivors of Plague during the 1600’s pandemic had some
sort of genetic changes which led to increased survival. To test this hypothesis he decided to
analyse the DNA sample of Plague survivor.
For testing this he selected an isolated town called Eyam. The population here is known to have
survived from Plague epidemic. Everyone here must have exposed to plague bacterium and those
who survived must have the genetic mutation in their genes. He also suggested that the survivors
who have the genetic mutation in their DNA would have transferred their mutation to succeeding
generations. Eyam was keeping a parish registry from which he was able to trace the descendants
of plague survivors. He collected blood samples and tested for delta 32 mutation in white blood
cells .
He was able to get 14% positive cases from whole population tested; to emphasis on his findings
he need to prove that this 14% is a significant number. Further he collected blood samples from
all over the world and tested for delta 32 mutation in them, the result was 0% for the population
who never had a exposure to Plague before. Thus he proved his hypothesis.
The Plague survivor has mutation name delta32 in CCR5 gene which may have prevented the
plague from entering the host cells.
During the global study in search for delta32 mutation he found out t.
1). e. Lycophyta (club mosses).The lycophytes are the oldest plant.pdf
1). e. Lycophyta (club mosses).
The lycophytes are the oldest plants with the vascular tissues, which are existing now.
Solution
1). e. Lycophyta (club mosses).
The lycophytes are the oldest plants with the vascular tissues, which are existing now..
A because conjugation of double bonds occur getti.pdf
A because conjugation of double bonds occur getting primary carbanion and
secondary carbocation which is stable
Solution
A because conjugation of double bonds occur getting primary carbanion and
secondary carbocation which is stable.
The java program TwelveDays that prompts user to enter l.pdf
/**
* The java program TwelveDays that prompts user to enter
* last day number then prints the verse of christmas song
* to console.
* */
//TwelveDays.java
import java.util.Scanner;
public class TwelveDays
{
public static void main(String[] args)
{
final int MAX = 12;
int lastDay = 0; //last day for the song, user will update
//create a scanner class object
Scanner scanner = new Scanner(System.in);
//Get the last day and use input validation
do
{
//prompt for lastDay value
System.out.println(\"Enter last day number [1-12]\");
lastDay=Integer.parseInt(scanner.nextLine());
}while(lastDay<1 || lastDay>12);
//set lastDay to day
int day = lastDay;
System.out.print(\"On the \");
//first switch case
switch(day)
{
case 1:
System.out.print(\"first \");
break;
case 2:
System.out.print(\"second\");
break;
case 3:
System.out.print(\"third\");
break;
case 4:
System.out.print(\"fourth\");
break;
case 5:
System.out.print(\"fifth\");
break;
case 6:
System.out.print(\"sixth\");
break;
case 7:
System.out.print(\"seventh\");
break;
case 8:
System.out.print(\"eighth\");
break;
case 9:
System.out.print(\"ninth\");
break;
case 10:
System.out.print(\"tenth\");
break;
case 11:
System.out.print(\"eleventh\");
break;
case 12:
System.out.print(\"twelfth\");
break;
}
System.out.println(\" day of Christmas, my true love sent to me:\");
//second switch case to select gift of day
switch(day)
{
case 12:
System.out.println(\"Twelve Drummers Drumming\");
case 11:
System.out.println(\"Eleven Pipers Piping\");
case 10:
System.out.println(\"Ten Lords a Leaping\");
case 9:
System.out.println(\"Nine Ladies Dancing\");
case 8:
System.out.println(\"Eight Maids a Milking\");
case 7:
System.out.println(\"Seven Swans a Swimming\");
case 6:
System.out.println(\"Six Geese a Laying\");
case 5:
System.out.println(\"Five Golden Rings\");
case 4:
System.out.println(\"Four Calling Birds\");
case 3:
System.out.println(\"Three French Hens\");
case 2:
System.out.print(\"Two Turtle Doves\");
case 1:
if(day>1){
System.out.println(\",and \");
}
System.out.println(\"A Partridge in a Pear Tree.\");
break;
}
}
}//end of the class
------------------------------------------------------------------------------------------------------
Sample output:
Enter last day number [1-12]
12
On the twelfth day of Christmas, my true love sent to me:
Twelve Drummers Drumming
Eleven Pipers Piping
Ten Lords a Leaping
Nine Ladies Dancing
Eight Maids a Milking
Seven Swans a Swimming
Six Geese a Laying
Five Golden Rings
Four Calling Birds
Three French Hens
Two Turtle Doves,and
A Partridge in a Pear Tree.
sample run2\"
Enter last day number [1-12]
11
On the eleventh day of Christmas, my true love sent to me:
Eleven Pipers Piping
Ten Lords a Leaping
Nine Ladies Dancing
Eight Maids a Milking
Seven Swans a Swimming
Six Geese a Laying
Five Golden Rings
Four Calling Birds
Three French Hens
Two Turtle Doves,and
A Partridge in a Pear Tree.
Solution
/**
* The java program TwelveDays that prompts user to enter
* last day number then.
When the Maganese Dioxide was added to the Hydrog.pdf
When the Maganese Dioxide was added to the Hydrogen Peroxide it bubbles.
Manganese dioxide catalyzes the decomposition of hydrogen peroxide, to Water and oxygen.
Solution
When the Maganese Dioxide was added to the Hydrogen Peroxide it bubbles.
Manganese dioxide catalyzes the decomposition of hydrogen peroxide, to Water and oxygen..
The water will be in both liquid as well as vapou.pdf
The water will be in both liquid as well as vapour phase. There will be a liq and gas
phase equilibrium.
Solution
The water will be in both liquid as well as vapour phase. There will be a liq and gas
phase equilibrium..
Unit 2- Research Aptitude (UGC NET Paper I).pdf
This slide describes the research aptitude of unit 2 in the UGC NET paper I.
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The act had a profound effect on corporate governance in the United .pdf
The act had a profound effect on corporate governance in the United States. The Sarbanes-Oxley
Act requires public companies to strengthen audit committees, perform internal controls tests, set
personal liability of directors and officers for accuracy of financial statements, and strengthen
disclosure. The Sarbanes-Oxley Act also establishes stricter criminal penalties for securities
fraud and changes how public accounting firms operate their businesses.
One direct effect of the Sarbanes-Oxley Act on corporate governance is the strengthening of
audit committees at public companies. The audit committee receives wide leverage in overseeing
the company\'s top management accounting decisions. The audit committee members must be
independent of the top management and gain new responsibilities such as approving numerous
audit and non-audit services, selecting and overseeing external auditors, and handling complaints
regarding the management\'s accounting practices.
The costliest part of the Sarbanes-Oxley Act is Section 404, which requires public companies to
perform extensive internal control tests and include an internal control report with their annual
audits. Testing and documenting manual and automated controls in financial reporting requires
enormous effort and involvement of not only external accountants, but also experienced IT
personnel. The compliance cost is especially burdensome for companies that heavily rely on
manual controls. The Sarbanes-Oxley Act encouraged companies to make their financial
reporting more efficient, centralized and automated.
The Sarbanes-Oxley Act changes management\'s responsibility for financial reporting
significantly. The act requires that top managers personally certify the accuracy of financial
reports. If a top manager knowingly or willfully makes a false certification, he can face 10 to 20
years in prison. If the company is forced to make a required accounting restatement due to
management\'s misconduct, top managers can be forced to give up their bonuses or profits made
from selling the company\'s stock. If the director or officer is convicted in securities law
violation, he can be prohibited from serving in the same role at the public company.
The Sarbanes-Oxley Act significantly strengthens the disclosure requirement. Public companies
are required to disclose any material off-balance sheet arrangements, such as operating leases
and special purposes entities. The company is also required to disclose any pro forma statements
and how they would look under the generally accepted accounting principles (GAAP). Insiders
must report their stock transactions to the Securities and Exchange Commission (SEC) within
two business days as well.
The Sarbanes-Oxley Act imposes harsher punishment for obstructing justice and securities fraud,
mail fraud and wire fraud. The maximum sentence term for securities fraud increased to 25
years, and the maximum prison time for obstruction of justice increased to 20 years. The act.
Statistical DistributionsEvery statistics book provides a list.pdf
Statistical Distributions
Every statistics book provides a listing of statistical distributions, with their properties, but
browsing through these choices can be frustrating to anyone without a statistical background, for
two reasons. First, the choices seem endless, with dozens of distributions competing for your
attention, with little or no intuitive basis for differentiating between them. Second, the
descriptions tend to be abstract and emphasize statistical properties such as the moments,
characteristic functions and cumulative distributions. In this appendix, we will focus on the
aspects of distributions that are most useful when analyzing raw data and trying to fit the right
distribution to that data.
Fitting the Distribution
When confronted with data that needs to be characterized by a distribution, it is best to start with
the raw data and answer four basic questions about the data that can help in the characterization.
The first relates to whether the data can take on only discrete values or whether the data is
continuous; whether a new pharmaceutical drug gets FDA approval or not is a discrete value but
the revenues from the drug represent a continuous variable. The second looks at the symmetry of
the data and if there is asymmetry, which direction it lies in; in other words, are positive and
negative outliers equally likely or is one more likely than the other. The third question is whether
there are upper or lower limits on the data;; there are some data items like revenues that cannot
be lower than zero whereas there are others like operating margins that cannot exceed a value
(100%). The final and related question relates to the likelihood of observing extreme values in
the distribution; in some data, the extreme values occur very infrequently whereas in others, they
occur more often.
Is the data discrete or continuous?
The first and most obvious categorization of data should be on whether the data is restricted to
taking on only discrete values or if it is continuous. Consider the inputs into a typical project
analysis at a firm. Most estimates that go into the analysis come from distributions that are
continuous; market size, market share and profit margins, for instance, are all continuous
variables. There are some important risk factors, though, that can take on only discrete forms,
including regulatory actions and the threat of a terrorist attack; in the first case, the regulatory
authority may dispense one of two or more decisions which are specified up front and in the
latter, you are subjected to a terrorist attack or you are not.
With discrete data, the entire distribution can either be developed from scratch or the data can be
fitted to a pre-specified discrete distribution. With the former, there are two steps to building the
distribution. The first is identifying the possible outcomes and the second is to estimate
probabilities to each outcome. As we noted in the text, we can draw on historical data or
experience as .
second student expressed in better formhe made z independant, and .pdf
second student expressed in better form
he made z independant, and x,y dependant on z
Solution
second student expressed in better form
he made z independant, and x,y dependant on z.
AnswerProperties area.) Enthalpy, c.) Mass, e.) DensitySolu.pdf
Answer:
Properties are
a.) Enthalpy, c.) Mass, e.) Density
Solution
Answer:
Properties are
a.) Enthalpy, c.) Mass, e.) Density.
in He2 there are total of four electrons which can be placed on both.pdf
in He2 there are total of four electrons which can be placed on both bonding and antibonding
orbital. So both the bonding and the antibonding orbital have two electrons each.
so bond order for He2 = [no. e in bonding - no.e in antibonding ]/2
= (4-4)/2 = 0
for He 2+ = there are thre electrons among which two are in the bonding Molecular orbital and
one in antibonding mo
so bond order = 2-1/2 = 0.5
for He2- two bonding and two antibonding
another one is in next 2sigmag bonding molecular orbital .
so b.o = 5-2/2= 1.5
so He2 _ has the highest bond order.
Solution
in He2 there are total of four electrons which can be placed on both bonding and antibonding
orbital. So both the bonding and the antibonding orbital have two electrons each.
so bond order for He2 = [no. e in bonding - no.e in antibonding ]/2
= (4-4)/2 = 0
for He 2+ = there are thre electrons among which two are in the bonding Molecular orbital and
one in antibonding mo
so bond order = 2-1/2 = 0.5
for He2- two bonding and two antibonding
another one is in next 2sigmag bonding molecular orbital .
so b.o = 5-2/2= 1.5
so He2 _ has the highest bond order..
Egg polarity is the orientation of the egg. In developmental biology.pdf
Egg polarity is the orientation of the egg. In developmental biology, all animal eggs have 2 poles
one is anterior animal pole and the other is posterior vegetal pole, these poles are connected by
the axis of the egg. The plane that bisects the main axis at right angle is the equitorial plane.
Cytoplasmic determinants are molecules essential during oocyte matuaration in the ovary of
female and may control gene expression. These are present in the region of egg\'s cytoplasm
whcih results in included in the blastomeres.
Dorso-ventral and Antero-posterior axis are established in egg and embryo by maternal effect
genes (egg-polarity genes).
In the early embroyonic development, cytoplasmic determinants already present in unfertilised
egg encoded by mother\'s egg-polarity genes and these genes encode proteins that are existing in
the egg while still in the mother\'s ovary.
Solution
Egg polarity is the orientation of the egg. In developmental biology, all animal eggs have 2 poles
one is anterior animal pole and the other is posterior vegetal pole, these poles are connected by
the axis of the egg. The plane that bisects the main axis at right angle is the equitorial plane.
Cytoplasmic determinants are molecules essential during oocyte matuaration in the ovary of
female and may control gene expression. These are present in the region of egg\'s cytoplasm
whcih results in included in the blastomeres.
Dorso-ventral and Antero-posterior axis are established in egg and embryo by maternal effect
genes (egg-polarity genes).
In the early embroyonic development, cytoplasmic determinants already present in unfertilised
egg encoded by mother\'s egg-polarity genes and these genes encode proteins that are existing in
the egg while still in the mother\'s ovary..
Every network and system has some loop holes and weaknesses so the i.pdf
Every network and system has some loop holes and weaknesses so the intruders tries to get in to
that network and hack the system. Network has so many weaknesses some of them are Operating
system weakness, configuration weakness, technology weakness.
- Coming to the vulnerabilities factors the intrudors or hacklers tries to find the weak spot in the
network or device and tries to get in to that system. There are operating systems like UNIX,
LINUX, Windows all these operating systems have some loop holes, these loop holes must be
rectified. Passwords must be very typical that they would not have a chance of guessing that one.
Every networks runs with some protocols. some of them are http, ftp, icmp. These are less
insecure so these protocols must be secured properly.
- Coming to the threats these are nothing but hackers and crackers that try to get in to that
network and change the data. There atr several trypes of threats like hackers, crackers, phisher
etc., The hackers try to get in to the network through a unauthorizes access and get the system in
his control and the cracker gets in to the network through by sending some different viruses and
gets the access over the network o0r system. Pischer in the sense they send so many mails which
is not useful to us when we open to them we might effect with the viruses and this is one type of
threat to the system.
Solution
Every network and system has some loop holes and weaknesses so the intruders tries to get in to
that network and hack the system. Network has so many weaknesses some of them are Operating
system weakness, configuration weakness, technology weakness.
- Coming to the vulnerabilities factors the intrudors or hacklers tries to find the weak spot in the
network or device and tries to get in to that system. There are operating systems like UNIX,
LINUX, Windows all these operating systems have some loop holes, these loop holes must be
rectified. Passwords must be very typical that they would not have a chance of guessing that one.
Every networks runs with some protocols. some of them are http, ftp, icmp. These are less
insecure so these protocols must be secured properly.
- Coming to the threats these are nothing but hackers and crackers that try to get in to that
network and change the data. There atr several trypes of threats like hackers, crackers, phisher
etc., The hackers try to get in to the network through a unauthorizes access and get the system in
his control and the cracker gets in to the network through by sending some different viruses and
gets the access over the network o0r system. Pischer in the sense they send so many mails which
is not useful to us when we open to them we might effect with the viruses and this is one type of
threat to the system..
confounding -- they are both caused by something else - wealth.pdf
confounding -- they are both caused by something else - wealth
Solution
confounding -- they are both caused by something else - wealth.
a. Journal entry fro revaluation of assetb. Journal entry for admi.pdf
a. Journal entry fro revaluation of asset
b. Journal entry for admiting wonderParticularsDebitcreditLand75000Revaluation Reserve75000
Solution
a. Journal entry fro revaluation of asset
b. Journal entry for admiting wonderParticularsDebitcreditLand75000Revaluation Reserve75000.
a) 2n-1 =12-1=11it was turners syndrome so the person has one sex .pdf
a) 2n-1 =12-1=11
it was turners syndrome so the person has one sex chromosome less than normal person
Solution
a) 2n-1 =12-1=11
it was turners syndrome so the person has one sex chromosome less than normal person.
2, Steven O’Brien’s suggested that the survivors of Plague during th.pdf
2, Steven O’Brien’s suggested that the survivors of Plague during the 1600’s pandemic had some
sort of genetic changes which led to increased survival. To test this hypothesis he decided to
analyse the DNA sample of Plague survivor.
For testing this he selected an isolated town called Eyam. The population here is known to have
survived from Plague epidemic. Everyone here must have exposed to plague bacterium and those
who survived must have the genetic mutation in their genes. He also suggested that the survivors
who have the genetic mutation in their DNA would have transferred their mutation to succeeding
generations. Eyam was keeping a parish registry from which he was able to trace the descendants
of plague survivors. He collected blood samples and tested for delta 32 mutation in white blood
cells .
He was able to get 14% positive cases from whole population tested; to emphasis on his findings
he need to prove that this 14% is a significant number. Further he collected blood samples from
all over the world and tested for delta 32 mutation in them, the result was 0% for the population
who never had a exposure to Plague before. Thus he proved his hypothesis.
The Plague survivor has mutation name delta32 in CCR5 gene which may have prevented the
plague from entering the host cells.
During the global study in search for delta32 mutation he found out that there are people with
delta32 mutation in other part of Europe as well which had been affected by plague earlier. Also
Plague survivors and their descendants from Europe who has settled in America also showed this
mutation in their genes.
Solution
2, Steven O’Brien’s suggested that the survivors of Plague during the 1600’s pandemic had some
sort of genetic changes which led to increased survival. To test this hypothesis he decided to
analyse the DNA sample of Plague survivor.
For testing this he selected an isolated town called Eyam. The population here is known to have
survived from Plague epidemic. Everyone here must have exposed to plague bacterium and those
who survived must have the genetic mutation in their genes. He also suggested that the survivors
who have the genetic mutation in their DNA would have transferred their mutation to succeeding
generations. Eyam was keeping a parish registry from which he was able to trace the descendants
of plague survivors. He collected blood samples and tested for delta 32 mutation in white blood
cells .
He was able to get 14% positive cases from whole population tested; to emphasis on his findings
he need to prove that this 14% is a significant number. Further he collected blood samples from
all over the world and tested for delta 32 mutation in them, the result was 0% for the population
who never had a exposure to Plague before. Thus he proved his hypothesis.
The Plague survivor has mutation name delta32 in CCR5 gene which may have prevented the
plague from entering the host cells.
During the global study in search for delta32 mutation he found out t.
1). e. Lycophyta (club mosses).The lycophytes are the oldest plant.pdf
1). e. Lycophyta (club mosses).
The lycophytes are the oldest plants with the vascular tissues, which are existing now.
Solution
1). e. Lycophyta (club mosses).
The lycophytes are the oldest plants with the vascular tissues, which are existing now..
A because conjugation of double bonds occur getti.pdf
A because conjugation of double bonds occur getting primary carbanion and
secondary carbocation which is stable
Solution
A because conjugation of double bonds occur getting primary carbanion and
secondary carbocation which is stable.
The java program TwelveDays that prompts user to enter l.pdf
/**
* The java program TwelveDays that prompts user to enter
* last day number then prints the verse of christmas song
* to console.
* */
//TwelveDays.java
import java.util.Scanner;
public class TwelveDays
{
public static void main(String[] args)
{
final int MAX = 12;
int lastDay = 0; //last day for the song, user will update
//create a scanner class object
Scanner scanner = new Scanner(System.in);
//Get the last day and use input validation
do
{
//prompt for lastDay value
System.out.println(\"Enter last day number [1-12]\");
lastDay=Integer.parseInt(scanner.nextLine());
}while(lastDay<1 || lastDay>12);
//set lastDay to day
int day = lastDay;
System.out.print(\"On the \");
//first switch case
switch(day)
{
case 1:
System.out.print(\"first \");
break;
case 2:
System.out.print(\"second\");
break;
case 3:
System.out.print(\"third\");
break;
case 4:
System.out.print(\"fourth\");
break;
case 5:
System.out.print(\"fifth\");
break;
case 6:
System.out.print(\"sixth\");
break;
case 7:
System.out.print(\"seventh\");
break;
case 8:
System.out.print(\"eighth\");
break;
case 9:
System.out.print(\"ninth\");
break;
case 10:
System.out.print(\"tenth\");
break;
case 11:
System.out.print(\"eleventh\");
break;
case 12:
System.out.print(\"twelfth\");
break;
}
System.out.println(\" day of Christmas, my true love sent to me:\");
//second switch case to select gift of day
switch(day)
{
case 12:
System.out.println(\"Twelve Drummers Drumming\");
case 11:
System.out.println(\"Eleven Pipers Piping\");
case 10:
System.out.println(\"Ten Lords a Leaping\");
case 9:
System.out.println(\"Nine Ladies Dancing\");
case 8:
System.out.println(\"Eight Maids a Milking\");
case 7:
System.out.println(\"Seven Swans a Swimming\");
case 6:
System.out.println(\"Six Geese a Laying\");
case 5:
System.out.println(\"Five Golden Rings\");
case 4:
System.out.println(\"Four Calling Birds\");
case 3:
System.out.println(\"Three French Hens\");
case 2:
System.out.print(\"Two Turtle Doves\");
case 1:
if(day>1){
System.out.println(\",and \");
}
System.out.println(\"A Partridge in a Pear Tree.\");
break;
}
}
}//end of the class
------------------------------------------------------------------------------------------------------
Sample output:
Enter last day number [1-12]
12
On the twelfth day of Christmas, my true love sent to me:
Twelve Drummers Drumming
Eleven Pipers Piping
Ten Lords a Leaping
Nine Ladies Dancing
Eight Maids a Milking
Seven Swans a Swimming
Six Geese a Laying
Five Golden Rings
Four Calling Birds
Three French Hens
Two Turtle Doves,and
A Partridge in a Pear Tree.
sample run2\"
Enter last day number [1-12]
11
On the eleventh day of Christmas, my true love sent to me:
Eleven Pipers Piping
Ten Lords a Leaping
Nine Ladies Dancing
Eight Maids a Milking
Seven Swans a Swimming
Six Geese a Laying
Five Golden Rings
Four Calling Birds
Three French Hens
Two Turtle Doves,and
A Partridge in a Pear Tree.
Solution
/**
* The java program TwelveDays that prompts user to enter
* last day number then.
When the Maganese Dioxide was added to the Hydrog.pdf
When the Maganese Dioxide was added to the Hydrogen Peroxide it bubbles.
Manganese dioxide catalyzes the decomposition of hydrogen peroxide, to Water and oxygen.
Solution
When the Maganese Dioxide was added to the Hydrogen Peroxide it bubbles.
Manganese dioxide catalyzes the decomposition of hydrogen peroxide, to Water and oxygen..
The water will be in both liquid as well as vapou.pdf
The water will be in both liquid as well as vapour phase. There will be a liq and gas
phase equilibrium.
Solution
The water will be in both liquid as well as vapour phase. There will be a liq and gas
phase equilibrium..
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How libraries can support authors with open access requirements for UKRI funded books
Wednesday 22 May 2024, 14:00-15:00.
678020731-Sumas-y-Restas-Para-Colorear.pdf
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BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...Nguyen Thanh Tu Collection
https://app.box.com/s/hqnndn05v4q5a4k4jd597rkdbda0fniiDigital Tools and AI for Teaching Learning and Research
This Presentation in details discusses on Digital Tools and AI for Teaching Learning and Research
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxMohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
This slide is prepared for master's students (MIFB & MIBS) UUM. May it be useful to all.Biological Screening of Herbal Drugs in detailed.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Introduction to AI for Nonprofits with Tapp Network
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
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The French Revolution Class 9 Study Material pdf free download
The French Revolution Class 9 Study Material pdf free download
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
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Digital Tools and AI for Teaching Learning and Research
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Chapter 3 - Islamic Banking Products and Services.pptx
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Introduction to AI for Nonprofits with Tapp Network
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Nominal return 11.60 Inflation 2.6 Real rate of retur.pdf
- 1. Nominal return 11.60% Inflation 2.6% Real rate of return 8.77% Using the formula (1+ real return)*(1+ inflation)= (1+ Nominal return) Solution Nominal return 11.60% Inflation 2.6% Real rate of return 8.77% Using the formula (1+ real return)*(1+ inflation)= (1+ Nominal return)