Paller AS, Mercy K, Kwasny MJ, et al.  Association of pediatric psoriasis severity with excess and central adiposity: an international cross-sectional study. JAMA Dermatol. 2013 Feb;149(2):166-76.

Questions 1-5 relate to the Paller AS, et al. article.

1. Which best describes the research question investigated in the Paller AS, et al. study?

Group of answer choices

1. What is the relationship between adiposity and psoriasis severity in adults?

2. What is the relationship between adiposity and psoriasis severity in children?

3. Do children have a greater prevalence of psoriasis compared to adults?

4. Do adults have a greater prevalence of psoriasis compared to children?

2. Which type of study design was used to investigate this research question?

Group of answer choices

1. Retrospective Cohort

2. Case-control

3. Ecologic

4. Cross-sectional

3. How were subjects selected for inclusion in this study?

Group of answer choices

1.Subjects were recruited from a convenience sample of all patients with psoriasis

2.Subjects were recruited from among all adult psoriasis patients visiting their dermatologist between June 2009 and December 2011

3.Subjects were recruited from among all pediatric psoriasis patients presenting between June 2009 and December 2011 to participating dermatology referral centers located in 9 countries

4.Subjects were recruited from among all pediatric patients presenting between June 2009 and December 2011 with BMI >85th and <95th percentile

4.What measure(s) served as the outcome variable(s)?

Group of answer choices

1.Body Mass Index (BMI)

2.Psoriasis Severity

3.Body Mass Index (BMI), Waist Circumference and Waist-to-Height Ratio

4.Body Mass Index (BMI), Waist Circumference, Waist-to-Height Ratio and Psoriasis Severity

5.What measure(s) served as the exposure variable(s)?

Group of answer choices

1.Body Mass Index (BMI)

2.Psoriasis Severity

3.Body Mass Index (BMI), Waist Circumference and Waist-to-Hip Ratio

4.Body Mass Index (BMI), Waist Circumference, Waist-to-Hip Ratio and Psoriasis Severity

Cui Y, Zhang ZF, Froines J, et al. Air pollution and case fatality of SARS in the People's Republic of China: an ecologic study. Environ Health. 2003 Nov 20;2(1):15.

Questions 6-10 relate to the Cui Y, et al. article.

6.Which best describes the research question investigated in the Cui Y, et al. study?

Group of answer choices

1.Is there a relationship between air pollution and acute respiratory case fatality?

2.Is there a relationship between air pollution and asthma case fatality?

3.Is there a relationship between air pollution and COPD case fatality?

4.Is there a relationship between air pollution and SARS case fatality?

7. Which type of study design was used to investigate this research question?

Group of answer choices

1.Retrospective Cohort

2.Case-control

3.Ecologic

4. Cross-sectional

8. What data were used for this study?

Group of answer choices

1.Publicly accessible data on asthma morbidity and mortality in the People’s Republic of China

2.Publicly accessible data on SARS morbidity and mortality in the People’s Republic of China

3.Publicly accessible data on COPD morbidity and mortality in the People’s Republic of China

4.Publicly accessible data on acute respiratory failure morbidity and mortality in the People’s Republic of China

9.How were these data analyzed?

Group of answer choices

1. Prevalence odds ratio

2.Linear regression modeling

3.Logistic regression modeling

4.Prevalence ratio

10. What were the results of these analyses?

Group of answer choices

1. A negative relationship existed between air pollution and case fatality

2. A positive relationship existed between air pollution and case fatality

3. No relationship existed between air pollution and case fatality

4. Indeterminable

Here are the total returns for the S&P500 for the first ten years of this century. Assume you invested $1 in the S&P500 on January 1, 2001. Your first year's return was -11.85%.

Year Return

2001 -11.85%

2002 -21.97%

2003 28.36%

2004 10.74%

2005 4.83%

2006 15.61%

2007 5.48%

2008 -36.55%

2009 26.94%

2010 18.00% 4 points.

Q1. If you invested $1 at the beginning of the time frame [1/1/2001], how much would it be worth five years later? Show work and calculations. 4 points.

Q2. If you invested $1 at the beginning of the time frame [1/1/2001], how much would it be worth ten years later? Show work and calculations. 4 points.

Q3. What was the arithmetic return for the 10-year period? 4 points.

Q4. What was the standard deviation of returns for the 10-year period? 2 points.

Q5. What was the variance of returns for the 10-year period. 2 points.

Q6. If you assumed returns were "normally distributed", what range of returns would you expect for a given year?

JAVA SHOW YOUR OUTPUT

package exampletodo;

import java.util.Arrays;

import stdlib.*;

/**

* Edit the sections marked TODO

*

* Unless specified otherwise, you must not change the declaration of any

* method.

*/

public class example {

       /**

       * valRange returns the difference between the maximum and minimum values in the

       * array; Max-Min. Precondition: the array is nonempty. Your solution must go

       * through the array at most once.

       *

       * Here are some examples (using "==" informally):

       *

       * <pre>

       *    0 == valRange (new double[] { -7 })

       *    10 == valRange (new double[] { 1, 7, 8, 11 })

       *    10 == valRange (new double[] { 11, 7, 8, 1 })

       *    18 == valRange (new double[] { 1, -4, -7, 7, 8, 11 })

       *    24 == valRange (new double[] { -13, -4, -7, 7, 8, 11 })

       *

       * The code below is a stub version, you should replace the line of code

       * labeled TODO with code that achieves the above specification

       * </pre>

       */

       public static double valRange(double[] list) {

             return -1; // TODO 1: fix this code

       }

       /**

       * posOfLargestElementLtOeT returns the position of the largest element in the

       * array that is less than or equal to the limit parameter if all values are

       * greater than limit, return -1;

       *

       * Precondition: the array is nonempty and all elements are unique. Your

       * solution must go through the array exactly once.

       *

       * <pre>

       *   0 == posOfLargestElementLtOeT(3, new double[] { -7 })                      // value:-7 is in pos 0

       *   5 == posOfLargestElementLtOeT(3, new double[] { 11, -4, -7, 7, 8, 1 }),    // value:1 is in pos 5

       * -1 == posOfLargestElementLtOeT(-7, new double[] { 1, -4, -5, 7, 8, 11 }),   // all elements are > -7

       *

       * The code below is a stub version, you should replace the line of code

       * labeled TODO with code that achieves the above specification

       * </pre>

       */

       public static int posOfLargestElementLtOeT(double limit, double[] list) {

             return -2; // TODO 2: fix this code

       }

       /**

       * isPerfectNumber determines (true or false) if a given number is a 'Perfect

       * Number'

       *

       * A perfect number is one that is equal to the sum of its proper divisors.

       * Example 1: 6; the proper divisors are 1, 2, 3 ; 1+ 2 + 3 is 6, so 6 IS a

       * perfect number Example 2: 15; the proper divisors are 1, 3, 5 ; 1 + 3 + 5 is

       * 9, so 15 IS NOT a perfect number Example 3: 28; the proper divisors are 1, 2,

       * 4, 7, 14; 1 + 2 + 4 + 7 + 14 is 28, so 28 IS a perfect number

       *

       * Precondition: number is a positive integer

       *

       * The code below is a stub version, you should replace the line of code labeled

       * TODO with code that achieves the above specification

       *

       * Hint: find the sum of the proper divisors

       */

       public static boolean isPerfectNumber(int number) {

             return false; // TODO 3: fix this code

       }

Apply PCA ( Principal Component Analysis ) in python to this data set below  that is a csv file

Then plot it. Thank you I will UPVOTE!

Construct a scattergram for each data set. Then calculate r and r 2 for each data set. Interpret their values. Complete parts a through d

Calculate r.

r=. 9853 ​(Round to four decimal places as​ needed.)

Calculate r2.

r2=0.9709. ​(Round to four decimal places as​ needed.)

Interpret r. Choose the correct answer below.

A.There is not enough information to answer this question.

B.There is a very strong negative linear relationship between x and y.

C.x and y are not related.

D.There is a very strong positive linear relationship between x and y. Your answer is correct.

Interpret

r2=97.09% of the total sample variability around y overbary is explained by the linear relationship between x and y.

​(Round to two decimal places as​ needed.)

Calculate r.

r=−0.9934 ​(Round to four decimal places as​ needed.)

Calculate r2.

r2=. 9868. ​(Round to four decimal places as​ needed.)

Interpret r. Choose the correct answer below.

A.There is a very strong negative linear relationship between x and y. Your answer is correct.

B.There is not enough information to answer this question.

C. There is a very strong positive linear relationship between x and y.

D.x and y are not related.

Interpret r2.

98.68​% of the total sample variability around y overbary is explained by the linear relationship between x and y.

​(Round to two decimal places as​ needed.)

Calculate r.

r=___________​(Round to four decimal places as​ needed.)

Let U be a uniform continuous random variable on the interval [2, 8].

(a) What is P(U = 4)?

(b) What is P(U ≤ 4)?

(c) What is P(4 ≤ U ≤ 7)?

(d) Find a formula for FU(x).

(e) Find a formula for fU(x).

(f) What is E(U)?

(g) What is Var(U)?

(h) What is E(1 − U 2 )?

Use Python to solve: show all code:

2) For the last assignment you had to write a program that calculated and displayed the end of year balances in a savings account if $1,000 is put in the account at 6% interest for five years.

The program output looked like this:

Balance after year 1 is $ 1060.0

Balance after year 2 is $ 1123.6

Balance after year 3 is $ 1191.02

Balance after year 4 is $ 1262.48

Balance after year 5 is $ 1338.23

Modify your code so that it displays the balances for interest rates from three to five percent inclusive, in one percent intervals. (Hint: Use an outer loop that iterates on the interest rate, and an inner one that iterates on the year.)

Output:

Interest rate of 3 %:

Balance after year 1 is $ 1030.0

Balance after year 2 is $ 1060.9

Balance after year 3 is $ 1092.73

Balance after year 4 is $ 1125.51

Balance after year 5 is $ 1159.27

Interest rate of 4 %:

Balance after year 1 is $ 1040.0

Balance after year 2 is $ 1081.6

Balance after year 3 is $ 1124.86

Balance after year 4 is $ 1169.86

Balance after year 5 is $ 1216.65

Interest rate of 5 %:

Balance after year 1 is $ 1050.0

Balance after year 2 is $ 1102.5

Balance after year 3 is $ 1157.62

Balance after year 4 is $ 1215.51

Balance after year 5 is $ 1276.28

Researchers gave a family planning survey was given to the head(s) of household in a local community. In particular, one question asked the head(s) of households to indicate if they think the community has a great need, some need, or no need of family planning counseling. In addition, they were asked to indicate how many children are in the household. Researchers want to know if the number of children in the household is impacted by family planning counseling. What can they conclude with α = 0.01?

a) What is the appropriate test statistic?
---Select--- na one-way ANOVA within-subjects ANOVA two-way ANOVA  

b) Compute the appropriate test statistic(s) to make a decision about H₀.
critical value =   ; test statistic =   
Decision:  ---Select--- Reject H0 Fail to reject H0  

c) Compute the corresponding effect size(s) and indicate magnitude(s).
η² =   ;  ---Select--- na trivial effect small effect medium effect large effect  

d) Make an interpretation based on the results.

At least one of the family planning opinions differs on the number of children in the household.None of the family planning opinions differ on the number of children in the household.   

e) Conduct Tukey's Post Hoc Test for the following comparisons:
1 vs. 2: difference =   ; significant:  ---Select--- Yes No  
2 vs. 3: difference =   ; significant:  ---Select--- Yes No  

f) Conduct Scheffe's Post Hoc Test for the following comparisons:
1 vs. 3: test statistic =   ; significant:  ---Select--- Yes No  
1 vs. 2: test statistic =  ; significant:  ---Select--- Yes No  

How would I complete this program using three files, which are a "SoccerPlayer.h" file, a "SoccerPlayer.cpp" file, and a "main.cpp" file. C++ Please!

This program will store roster and rating information for a soccer team. Coaches rate players during tryouts to ensure a balanced team.

(1) Prompt the user to input five pairs of numbers: A player's jersey number (0 - 99) and the player's rating (1 - 9). Store the jersey numbers in one int vector and the ratings in another int vector. Output these vectors (i.e., output the roster). (3 pts)

Ex:

Enter player 1's jersey number:
84
Enter player 1's rating:
7

Enter player 2's jersey number:
23
Enter player 2's rating:
4

Enter player 3's jersey number:
4
Enter player 3's rating:
5

Enter player 4's jersey number:
30
Enter player 4's rating:
2

Enter player 5's jersey number:
66
Enter player 5's rating:
9

ROSTER
Player 1 -- Jersey number: 84, Rating: 7
Player 2 -- Jersey number: 23, Rating: 4
...

(2) Implement a menu of options for a user to modify the roster. Each option is represented by a single character. The program initially outputs the menu, and outputs the menu after a user chooses an option. The program ends when the user chooses the option to Quit. For this step, the other options do nothing. (2 pts)

Ex:

MENU
a - Add player
d - Remove player
u - Update player rating
r - Output players above a rating
o - Output roster
q - Quit

Choose an option:

(3) Implement the "Output roster" menu option. (1 pt)

Ex:

ROSTER
Player 1 -- Jersey number: 84, Rating: 7
Player 2 -- Jersey number: 23, Rating: 4
...

(4) Implement the "Add player" menu option. Prompt the user for a new player's jersey number and rating. Append the values to the two vectors. (1 pt)

Ex:

Enter a new player's jersey number:
49
Enter the player's rating:
8

(5) Implement the "Delete player" menu option. Prompt the user for a player's jersey number. Remove the player from the roster (delete the jersey number and rating). (2 pts)

Ex:

Enter a jersey number:
4

(6) Implement the "Update player rating" menu option. Prompt the user for a player's jersey number. Prompt again for a new rating for the player, and then change that player's rating. (1 pt)

Ex:

Enter a jersey number:
23
Enter a new rating for player:
6

(7) Implement the "Output players above a rating" menu option. Prompt the user for a rating. Print the jersey number and rating for all players with ratings above the entered value. (2 pts)

Ex:

Enter a rating:
5

ABOVE 5
Player 1 -- Jersey number: 84, Rating: 7
...