Plan B is the common name in the United States and Canada for the emergency contraception drug levonorgestrel. The high dose of progestogen it delivers has been shown in the lab to inhibit ovulation, thus rendering fertilization impossible. Some groups, however, are concerned that if the drug interfered with the fertilized egg, it could be considered abortive rather than strictly contraceptive. Researchers enrolled a cohort of fertile women attending a family planning clinic for emergency contraception after unprotected intercourse during their fertile period. From interviews, blood samples, and ultrasounds, the researchers were able to establish the time of intercourse relative to the women's menstrual cycles. In this cohort, 8787 women had unprotected intercourse before ovulation (pre‑ovulation group) and 3535 women had unprotected intercourse on or after ovulation (post‑ovulation group). Based on standard clinical assessments of fertility rates by day of the menstrual cycle, the researchers expected 13.313.3 pregnancies in the pre‑ovulation group and 7.07.0 pregnancies in the post‑ovulation group. Instead, they observed 00 and 66 pregnancies, respectively.
(a) We want to know if there is evidence that Plan B impacts the chance of pregnancy when taken before ovulation. What are the observed and expected counts of pregnancy and no pregnancy in the pre‑ovulation group? (Enter your answers rounded to one decimal place.)
Pregnancyobserved=Pregnancyobserved=
Pregnancyexpected=Pregnancyexpected=
No pregnancyobserved=No pregnancyobserved=
No pregnancyexpected=No pregnancyexpected=
Use these counts to compute the chi‑square statistic. (Enter your answer rounded to two decimal places.)
?2=χ2=
Select the correct response to whether or not the test assumptions met.
The expected counts are not large enough, so the test assumptions are not met.
A cohort can be considered a random sample and the expected counts are large enough, so the test assumptions are met.
A cohort cannot be considered a random sample, so the test assumptions are not met.
Neither the cohort can be considered a random sample nor the expected counts are large enough, so the test assumptions are not met.
Calculate the degrees of freedom. (Enter your answer as a whole number.)
df=df=
Find the ?P‑value. (Enter your answer rounded to six decimal places.)
?P‑value ==
Select the correct conclusion.
None of the options are correct.
There is very strong evidence that Plan B impacts the chance of pregnancy when taken before ovulation.
The study found weak evidence that Plan B impacts the chance of pregnancy when taken before ovulation.
The study failed to find evidence that Plan B impacts the chance of pregnancy when taken before ovulation.
(b) We want to know if there is evidence that plan B impacts the chance of pregnancy when taken after ovulation. What are the observed and expected counts of pregnancy and no pregnancy in the post‑ovulation group? (Enter your answer rounded to one decimal place.)
Pregnancyobserved=Pregnancyobserved=
Pregnancyexpected=Pregnancyexpected=
No pregnancyobserved=No pregnancyobserved=
No pregnancyexpected=No pregnancyexpected=
Use these counts to compute the chi‑square statistic. (Enter your answer rounded to two decimal places.)
?2=χ2=
Select the correct response to whether or not the test assumptions met.
A cohort can be considered a random sample and the expected counts are large enough, so the test assumptions are met.
Neither the cohort can be considered a random sample nor the expected counts are large enough, so the test assumptions are not met.
The expected counts are not large enough, so the test assumptions are not met.
A cohort cannot be considered a random sample, so the test assumptions are not met.
Calculate the degrees of freedom. (Enter your answer as a whole number.)
df=df=
Find the ?P‑value. (Enter your answer rounded to four decimal places.)
?P‑value ==
Select the correct conclusion.
The study failed to find evidence that Plan B impacts the chance of pregnancy when taken after ovulation.
None of the options are correct.
The study found weak evidence that Plan B impacts the chance of pregnancy when taken after ovulation.
There is strong evidence that Plan B impacts the chance of pregnancy when taken after ovulation.
(c) Select the correct description of the study findings and what they suggest about the mechanism of action of the Plan B drug.
There is no evidence that Plan B prevents pregnancy when taken before ovulation or after ovulation. These findings reject the theory that Plan B works by inhibiting ovulation.
There is very strong evidence that Plan B prevents pregnancy when taken after ovulation but not when taken before ovulation. These findings support the theory that Plan B works by inhibiting ovulation.
There is weak evidence that Plan B prevents pregnancy when taken before ovulation but not when taken after ovulation. These findings support the theory that Plan B works by inhibiting ovulation.
There is very strong evidence that Plan B prevents pregnancy when taken before ovulation but not when taken after ovulation. These findings support the theory that Plan B works by inhibiting ovulation.
In: Statistics and Probability
The data set “UCBAdmissions” in R contains admission decisions by gender at six departments of UC Berkeley. For this data set, carry out appropriate test for independence between the admission decision and gender for each of the departments.
What are your conclusions? Please submit your R script with the answer.
In: Statistics and Probability
1. What are three reasons why budgets are important?
2. In order to make business decisions, managers need to keep current with the news. Find a business article within the past two weeks that deals with business. Summarize the article in one paragraph consisting of three to five sentences. Here is the information to include: Name of article Author Publication--please use a business publication such as, Wall Street Journal, New York Times, National Public Radio Date of article Subject matter Why it appealed to you
In: Accounting
Draw an EERD for the following situation. Students are required to turn in assignments. Attributes of STUDENT include StudentID (identifier), Name, and Major. Attributes of ASSIGNMENT include AssignmentNo (identifier) and DueDate. The grade obtained by each student for each assignment is recorded. Assignments may be either modeling or computer assignments. Computer assignments have an additional attribute, PlatformUsed. Modeling assignments are based on cases. A case may be used in one or more modeling assignments, and a given modeling assignment is associated with exactly a case. Attributes of CASE include CaseNo (identifier) and Author.
In: Computer Science
Objective
Identify ethics theories used in business
Categorize theories of ethics
Apply theories of ethics to business situations
Overview
Students will use research methods and apply critical thinking to create a taxonomy of germinal theories and principles of ethics.
Instructions
In this assignment, you will use the Internet, books, or any other method of research to create a taxonomy (chart) of ethical theories and principles and provide examples to apply the theory.
The taxonomy should include a minimum of 5 ethical theories or principles and include: the name of the theory or ethical principle, the author, the year/era the theory was conceptualized, and an example of the theory’s application.
Example:
|
Theory |
Era and Author |
Definition |
Example |
|
EMOTIVISM |
[S. L. Stevenson] |
Says moral judgments |
To say, “the garden is beautiful!!” It’s a mere expression of emotion it’s not a right or wrong statement. Your interpretation of whether you feel it is or isn’t beautiful is what draws one to try and sway the others opinion to be similar. |
Step 1 – Research and select five theories or principles of ethics.
Step 2 – Open Microsoft Word and create a table
Your table should have 4 columns and 6 rows
Include the following columns: Theory, Era and Author, Definition, and Example
Step 3 – Add information about the theories you’ve selected to your document.
In: Psychology
Objective
Identify ethics theories used in business
Categorize theories of ethics
Apply theories of ethics to business situations
Overview
Students will use research methods and apply critical thinking to create a taxonomy of germinal theories and principles of ethics.
Instructions
In this assignment, you will use the Internet, books, or any other method of research to create a taxonomy (chart) of ethical theories and principles and provide examples to apply the theory.
The taxonomy should include a minimum of 5 ethical theories or principles and include: the name of the theory or ethical principle, the author, the year/era the theory was conceptualized, and an example of the theory’s application.
Example:
|
Theory |
Era and Author |
Definition |
Example |
|
EMOTIVISM |
[S. L. Stevenson] |
Says moral judgments |
To say, “the garden is beautiful!!” It’s a mere expression of emotion it’s not a right or wrong statement. Your interpretation of whether you feel it is or isn’t beautiful is what draws one to try and sway the others opinion to be similar. |
Step 1 – Research and select five theories or principles of ethics.
Step 2 – Open Microsoft Word and create a table
Your table should have 4 columns and 6 rows
Include the following columns: Theory, Era and Author, Definition, and Example
Step 3 – Add information about the theories you’ve selected to your document.
In: Accounting
Suppose that you have a metal paper clip that you bend over and over in the same spot. Draw a stress-strain plot for this experiment and label each part of the curve with its rheological phase or property. Describe what happens during the experiment in terms of stress you apply, strain achieved, and what the metal is doing internally to heal itself during the process. Name the term for this process and describe how it is used historically and today to forge metal.
In: Physics
In: Economics
You have set up an experiment where two Stern-Gerlach analyzers sequentially measure spin along the z-axis. The first analyzer allows particles with spin up along z to pass. The second analyzer allows particles with spin down along z to pass. Between the two analyzers is a magnetic field aligned along +x. Your experiment sends identical spin-1/2 particles at speed v along the y-axis through the analyzers, which are separated by a distance Δy. What is the smallest distance Δy that will transmit 50% of the particles passed through the first analyzer through the second analyzer?
In: Physics
How Hauwei Might Handle the Latest US Sanctions
Author Name: Klint Finley
Publishing Date: June 21,2019
Publishing Platform: Wired
An article that I found extremely interesting was of a recent issue faced by a business in the United States named Huawei . Its a Chinese telecom hardware company. Huawei is China’s biggest phone maker and has recently been embroiled with the U.S. government concerning security threats. Huawei did business with many American corporations in the USA and provided cellular network gear to many companies in the USA. Yet, there was a security concern that China is using Huawei’s network for surveillance purposes.
That issue was quickly resolved after the U.S. government applied law and Constitution and banned all U.S. companies from doing business with Huawei keeping in mind the issue of national security. Using the provisions of the U.S. constitution, the government added Huawei to a list of companies that are considered a threat to U.S. national security. So Huawei is unable freely acquire U.S. technology and will have to seek U.S. government’s permission to do the same. The provisions of the Constitution with regards to national security have been used to put export restrictions on Huawei as well.
The US has been very concerned about some of these Chinese companies simply being trojan horses for China.
Another interesting area is mergers re international law, thanks for this post. Mergers are not as controversial as they used to be. My guess is that because so many companies compete globally now, we are not as concerned when they grow large!
Is that a good or bad development?
In: Economics