Pretend it is almost election time in 2040. You are on the reelection staff of President Adrian Miller. It is October 15, and Election Day (November 6) is approaching quickly. Polls have been done to see who voters plan to vote for. Your job is to analyze the results of polls conducted by five different companies and report the results to PresidentMiller. PollDateSample SizeResult (Percentage planning to vote for Miller)WeightCalculationsPoll 1October 12,43553%.40 Poll 2September 141,30042%.05 Poll 3July 550055%.05 Poll 4October 71,00060%.10 Poll 5October 102,00045%.40 Part A: Calculate the weighted average for the percent that is planning to vote for Miller. Round to the nearest whole number.Part B: Use this information to advise President Miller on how he is doing in the polls. Write at least one sentence.

retend it is almost election time in 2040. You are on the reelection staff of President Adrian Miller. It is October 15, and Election Day (November 6) is approaching quickly. Polls have been done to see who voters plan to vote for. Your job is to analyze the results of polls conducted by five different companies and report the results to President Miller. Poll Date Sample Size

retend it is almost election time in 2040. You are on the reelection staff of President Adrian Miller. It is October 15, and Election Day (November 6) is approaching quickly. Polls have been done to see who voters plan to vote for. Your job is to analyze the results of polls conducted by five different companies and report the results to President Miller. Poll Date Sample Size

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section11.4: Collecting Data

Problem 1C

See similar textbooks

Poll	Date	Sample Size	Result (Percentage planning to vote for Miller)	Weight
Poll 1	October 1	2,435	53%	.40
Poll 2	September 14	1,300	42%	.05
Poll 3	July 5	500	55%	.05
Poll 4	October 7	1,000	60%	.10
Poll 5	October 10	2,000	45%	.40

Similar questions

Linda Silbers is a social scientist studying voter opinion about a city bond proposal for a light-rail mass transit system in Denver. Linda wants to estimate the proportion of voters who favor the bond. She wants to be 95% sure that her sample estimate of the proportion of voters who favor the bond is in error by no more than 5%. How large a sample should she use? If a preliminary study showed that is approximately 73%, she should use a sample of voters. If she has no preliminary estimate for p, she should use a sample of voters.
9.2 11Please find the percentage of poor, satisfactory, and preferred
The political action group supporting Mark Begich for Governor wishes to conduct a final poll of voter support prior to an election. They want the error term for their estimate of the true proportion of voters supporting Begich to be 0.04 or less. Find the conservative estimate of the number of voters they will need to survey if thy desire 98% confidence for their estimate.
9. Atlantic Auditorium has 850 seats. Tickets were sold for 816 of the seats. What percentage of the auditorium seats are remaining? Show your work.
Time Magazine plans to do a telephone poll of adult Americans to ask them “How much are you worried about the quality of education in our schools?” for an upcoming article. a) They would like to be 95% confident in the result of survey and have a margin of error within 3% of the true population proportion. Suppose they have no estimate for what the sample proportion will be. How many people should they survey? b) Say they actually end up polling 1000 adults and find that 65% responded "a lot" to their survey question. We are interested in the population proportion of adult Americans who are worried “a lot” about the quality of education in our schools. Construct a 90% confidence interval for the population proportion around the given sample proportion. Give the Margin of Error as well. If there was another survey and the margin of error needed to be the same as in part b, but now 1750 people were surveyed instead of 1000, what would the new level of confidence be? Assume the sample…
A researcher wants to know what percentage of people who live in Germany are satisfied with their government. Surveys are sent to people who live in the city limits of Berlin, Frankfurt, and Munich of Germany.
nursing school professor is interested in determining how her college students compare to the national average when it comes to the Final Practicum Exam. The exam has a μ = 100 and σ = 20. There has been no evidence to suggest whether those seniors score better or worse than the national average and she is curious as to how her class (N=17) compares.
Dr. Loras Tyrell was curious to see if his students actually saved money by purchasing books from sources other than the college bookstore. He administered a survey to all his students asking how they obtained their book (Bookstore, Rented, ebook, or on the web – WebBooks) and how much they paid for the book. He obtained the information below. If the values for web-books are normally distributed, we know that of the students who purchased their book on the web (WebBooks), about 68.3% of those students paid approximately $----- to ----?
A programmer plans to develop a new software system. In planning for the operating system that he will use, he needs to estimate the percentage of computers that use a new operating system. How many computers must be surveyed in order to be 90% confident that his estimate is in error by no more than four percentage points?
The owners would like to know what reasons caused the current performance of the company and ask your opinion. Through review of the complete records you were able to obtain this additional information: (1) The selling price for every unit is P7.20 during 2018 and; (2) The marketing department did a tremendous job and was able to increase sales units by 20% during 2019. The percentage increase (decrease) in unit cost is:
In nursing, we seldom know the true values or percentages of many illnesses or syndromes. For example, if we were asked how many people contracted a particular strain of flu during a year then we could give estimates but not the true count. Not everybody went to the doctor or emergency room. Most probably did not get a test to determine the particular strain of the flu. Sometimes we just deal with estimates. For example, in a survey done in November 2018, 43% of people in the United States had been vaccinated against the flu with 3.9% margin of error with 95% confidence ("News Scan for Dec 06, 2018", 2018). This would allow us to create a confidence interval: lower bound = 43% - 3.9% = 39.1% upper bound = 43% + 3.9% = 46.9% so we are 95% confident that the true percentage of individuals that got vaccinated is between 39.1% and 46.9%. Find at least two examples of confidence intervals on the internet. you can search for "95% confidence", "Margin of Error", or even "confidence…