This topic contains a solution. Click here to go to the answer

Author Question: A few years ago the news magazine The Economist listed some of the stranger explanations used in the ... (Read 118 times)

Pineappleeh

  • Hero Member
  • *****
  • Posts: 585
A few years ago the news magazine The Economist listed some of the stranger explanations used in the past to predict presidential election outcomes.
 
  These included whether or not the hemlines of women's skirts went up or down, stock market performances, baseball World Series wins by an American League team, etc. Thinking about this problem more seriously, you decide to analyze whether or not the presidential candidate for a certain party did better if his party controlled the house. Accordingly you collect data for the last 34 presidential elections. You think of this data as comprising a population which you want to describe, rather than a sample from which you want to infer behavior of a larger population. You generate the accompanying table:
 
   Joint Distribution of Presidential Party Affiliation and Party Control
   of House of Representatives, 1860-1996
 
   Democratic Control of House (Y = 0) Republican Control of House (Y = 1) Total
  Democratic President (X = 0) 0.412 0.030 0.441
  Republican President (X = 1) 0.176 0.382 0.559
  Total 0.588 0.412 1.00
 
  (a) Interpret one of the joint probabilities and one of the marginal probabilities.
  (b) Compute E(X). How does this differ from E(X = 0)? Explain.
  (c) If you picked one of the Republican presidents at random, what is the probability that during his term the Democrats had control of the House?
  (d) What would the joint distribution look like under independence? Check your results by calculating the two conditional distributions and compare these to the marginal distribution.
 
  What will be an ideal response?

Question 2

Calculate the following probabilities using the standard normal distribution. Sketch the probability distribution in each case, shading in the area of the calculated probability.
 
  (a) Pr(Z < 0.0)
  (b) Pr(Z  1.0)
  (c) Pr(Z > 1.96)
  (d) Pr(Z < 2.0)
  (e) Pr(Z > 1.645)
  (f) Pr(Z > 1.645)
  (g) Pr(1.96 < Z < 1.96)
  (h.) Pr(Z < 2.576 or Z > 2.576)
  (i.) Pr(Z > z) = 0.10; find z.
  (j.) Pr(Z < z or Z > z) = 0.05; find z.
  What will be an ideal response?



Related Topics

Need homework help now?

Ask unlimited questions for free

Ask a Question
Marked as best answer by a Subject Expert

owenfalvey

  • Sr. Member
  • ****
  • Posts: 337
Answer to Question 1

Answer:
(a) 38.2 percent of the presidents were Republicans and were in the White House while Republicans controlled the House of Representatives. 44.1 percent of all presidents were Democrats.
(b) E(X) = 0.559. E(X = 0) = 0.701. E(X) gives you the unconditional expected value, while E(X = 0) is the conditional expected value.
(c) E(X) = 0.559 . 55.9 percent of the presidents were Republicans. E(X = 0) = 0.299 . 29.9 percent of those presidents who were in office while Democrats had control of the House of Representatives were Republicans. The second conditions on those periods during which Democrats had control of the House of Representatives, and ignores the other periods.
(d)
Joint Distribution of Presidential Party Affiliation and Party Control of House of Representatives, 1860-1996, under the Assumption of Independence

Democratic Control of House (Y = 0) Republican Control of House (Y = 1) Total
Democratic President (X = 0) 0.259 0.182 0.441
Republican President (X = 1) 0.329 0.230 0.559
Total 0.588 0.412 1.00

Pr(X = 0 = 0) = = 0.440 (there is a small rounding error).
Pr(Y = 1 = 1) = = 0.411 (there is a small rounding error).

Answer to Question 2

Answer:
(a) 0.5000;
(b) 0.8413;
(c) 0.0250;
(d) 0.0228;
(e) 0.0500;
(f) 0.9500;
(g) 0.0500;
(h) 0.0100;
(i) 1.2816;
(j) 1.96.




Pineappleeh

  • Member
  • Posts: 585
Reply 2 on: Jun 29, 2018
:D TYSM


adf223

  • Member
  • Posts: 304
Reply 3 on: Yesterday
Gracias!

 

Did you know?

As of mid-2016, 18.2 million people were receiving advanced retroviral therapy (ART) worldwide. This represents between 43–50% of the 34–39.8 million people living with HIV.

Did you know?

Dogs have been used in studies to detect various cancers in human subjects. They have been trained to sniff breath samples from humans that were collected by having them breathe into special tubes. These people included 55 lung cancer patients, 31 breast cancer patients, and 83 cancer-free patients. The dogs detected 54 of the 55 lung cancer patients as having cancer, detected 28 of the 31 breast cancer patients, and gave only three false-positive results (detecting cancer in people who didn't have it).

Did you know?

Common abbreviations that cause medication errors include U (unit), mg (milligram), QD (every day), SC (subcutaneous), TIW (three times per week), D/C (discharge or discontinue), HS (at bedtime or "hours of sleep"), cc (cubic centimeters), and AU (each ear).

Did you know?

Vampire bats have a natural anticoagulant in their saliva that permits continuous bleeding after they painlessly open a wound with their incisors. This capillary blood does not cause any significant blood loss to their victims.

Did you know?

If all the neurons in the human body were lined up, they would stretch more than 600 miles.

For a complete list of videos, visit our video library