Table 3:
|
Total |
Disease |
Disease |
Risk of |
Odds of |
|
|
Present |
Absent |
Disease |
Disease |
||
|
Exposed |
1,500 |
1350 |
150 |
0.9000 |
9.0000 |
|
Unexposed |
28,500 |
8550 |
19,950 |
0.3000 |
0.4286 |
|
Total |
30,000 |
9900 |
20,100 |
0.3300 |
0.4925 |
|
Risk Ratio =3.00 |
Odds ratio =21.00 |
||||
|
Population Attributable Risk (PAR) use formula for cohort =3% |
|||||
Provide an answer for all of the shaded cells. Randomly sample 50% of cases from cohort study C and place them in the cells of Table 4 below. If the sample of cases (or controls) is random it will maintain the same ratio of exposed to unexposed among cases and non-cases that is present in cohort C. Next, determine how many controls will be required in table 4 in order to have 1 control for each case. There are two ways to sample the required number of controls from cohort C. First sample “controls 1” from all persons who entered the cohort (column 2 of Table 3), prior to knowledge of disease status. Then, sample “controls 2” from all persons who did not develop the disease during follow-up (Column 4 of Table 3). Although, it’s not realistic, retain two decimal places in the numbers of controls. As your samples of controls must also be random, they should also maintain the same ratio of exposed to unexposed that is present among potential controls in Cohort C. (Hint: When you are selecting your controls, the key wording in the question is "if the sample of cases (or controls) is random it will maintain the same ratio of exposed to unexposed among the cases and non-cases that is present in cohort C". This gives you the information to create the ratios required to sample your controls for both "Control 1" and "Control 2". When you are sampling those groups, make sure you maintain the same ratio of exposed and unexposed in your final Table 4 as what you observe in Table 3 for the column you are sampling from. )
Table 4:
|
Cases |
Control 1 |
Control 2 |
|
|
Exposed |
|||
|
Unexposed |
|||
|
Total |
|||
|
CC Study 1: OR 1 (Control 1) = |
|||
|
CC Study 2: OR 2 (Control 2) = |
|||
|
Study 1: Population Attributable Risk (PAR) using ca/co formula = |
|||
|
Study 2: Population Attributable Risk (PAR), Using ca/co formula = |
|||
In: Biology
Coronary heart disease (CHD) begins in young adulthood and is the fifth leading cause of death among adults aged 20 to 24 years. However, studies of serum cholesterol levels among college students are scarce. One study at a southern university investigated the lipid levels in a cohort of sedentary university students. A total of 85 students volunteered for the study and met the eligibility criteria. The following table summarizes the sample data collected for the blood lipid levels, in milligrams per deciliter (mg/dl), of the participants broken down by gender:
|
Females (n1 = 48) |
Males (n2 = 37) |
|||
|
Mean |
Standard deviation |
Mean |
Standard deviation |
|
|
Total cholesterol |
173.70 |
34.79 |
171.86 |
33.24 |
|
LDL |
96.38 |
29.78 |
109.44 |
31.05 |
|
HDL |
61.62 |
13.75 |
46.47 |
7.94 |
Construct a 95% confidence interval estimate for the mean difference in total cholesterol levels for sedentary female and male university students.
Note: Do not do any intermediate rounding in your calculations!
ANSWER: (Click to select)+-± ≤ (Click to select)(π1 - π2)(x-bar1 - x-bar2)(μ1 - μ2)(s1 - s2)(σ1 - σ2)μd(n1 - n2)(p1 - p2) ≤ (Click to select)±-+ (report your answers to 4 decimal places, using conventional rounding rules.)
PLEASE ROUND 4 DECIMAL PLACES
In: Math
Briefly state the primary problem that results from lack of randomization in an observational cohort study.
In: Biology
Define and relate these three terms. Cohort effect, Time of test effects and Age effects.
In: Psychology
According to a recent study, 80% of American children (age 2 - 9) believe in Santa Claus. Suppose we obtain a random sample of 110 children in this age group and ask them whether or not they believe in Santa Claus. Answer the following:
1) Can the sampling distribution of ˆ p p ^ be approximated by the normal distribution? no yes
2) What is the mean of the distribution of ˆ p p ^ ?
3) What is the standard deviation of the distribution of ˆ p p ^ ?
4) What is the probability that fewer than 96 of the children from the sample will respond that they believe in Santa Claus?
(Round your answers to four decimal places when appropriate)
In: Statistics and Probability
For this problem, carry at least four digits after the decimal
in your calculations. Answers may vary slightly due to
rounding.
Santa Fe black-on-white is a type of pottery commonly found at
archaeological excavations at a certain monument. At one excavation
site a sample of 578 potsherds was found, of which 360 were
identified as Santa Fe black-on-white.
(a) Let p represent the proportion of Santa Fe
black-on-white potsherds at the excavation site. Find a point
estimate for p. (Round your answer to four decimal
places.)
(b) Find a 95% confidence interval for p. (Round your
answers to three decimal places.)
Lower Limit =
Upper Limit =
In: Statistics and Probability
Without using the Tutte-Berge formula, prove that every cubic graph with at most two bridges contains a perfect matching.
In: Advanced Math
Fiscal Policy represents the measures Congress and the President can take to enact legislation to improve economic outcomes. This includes stimulus spending, austerity, and changing the tax code.
Monetary Policy is the set of options a government’s Central Bank, like the Federal Reserve in the USA, can take to increase or decrease the flow of money to improve economic outcomes.
Used in together, both policies can significantly impact an economy.
1.) Ted Cruz argues that government overreach is the reason that GDP growth has slowed in recent quarters. Explain whether this make Cruz a classical or Keynesian economist.
2.) If the economy heated up to a point where inflation reached 6%, unemployment hit 2%, and GDP growth hit 4.5%, would governments enact expansionary or contractionary policy? Describe specific strategies leaders would utilize within both Monetary and Fiscal Policy.
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Let X be a set containing infinitely many elements, and let d be a metrio on X. Prove that X contains an open set U such that U and its complement Uc = X\U are both infinite
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1)Presents Inc. acquired all of the outstanding common stock of Santa Co. on January 1, 2017, for $257,000. Annual amortization of $19,000 resulted from this acquisition. Presents reported net income of $70,000 in 2017 and $50,000 in 2018 and paid $22,000 in dividends each year.
Santa reported net income of $40,000 in 2017 and $47,000 in 2018 and paid $10,000 in dividends each year. On the consolidated financial statements for 2017,
a)what amount should have been shown for Equity in Subsidiary Earnings?
A. $0.
B. $30,000.
C. $60,000.
D. $70,000.
b)what amount should have been shown for consolidated
dividends?
A. $0.
C. $22,000.
D. $32,000.
E. $64,000.
2)Presents Inc. acquired all of the outstanding common stock of Santa Co. on January 1, 2017. On that date, Santa had a building with a book value of $200,000 and a fair value of $410,000. Santa had equipment with a book value of $350,000 and a fair value of $340,000. The building had a 10-year remaining useful life and the equipment had a 5-year remaining useful life. How much total expense will be in the consolidated financial statements for the year ended December 31, 2017 related to Santa’s building acquired by Presents?
A. $19,000.
C. $20,000.
D. $41,000.
E. 0.
In: Accounting