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Ch. 7 - Estimating Parameters and Determining Sample Sizes
Triola - Elementary Statistics 14th Edition
Triola14th EditionElementary StatisticsISBN: 9780137366446Not the one you use?Change textbook
Chapter 7, Problem 7.8a

Controversial Song The song “Baby It’s Cold Outside” generated much controversy because of its lyrics and tone. CBS New York conducted a survey by asking viewers to use the Internet to respond to a question asking whether that song was really too offensive to play. Among 1043 Internet users who chose to respond, 986 said that the song was not too offensive, and 57 of the respondents said that the song was too offensive.


a. Construct a 95% confidence interval estimate of the proportion of the population having the belief that the song is not too offensive.

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Step 1: Identify the sample proportion (p̂) of respondents who believe the song is not too offensive. This is calculated as the number of respondents who said the song is not too offensive divided by the total number of respondents. Use the formula: = xn, where x = 986 and n = 1043.
Step 2: Calculate the standard error (SE) of the sample proportion. The formula for the standard error is: SE = (1-)n. Substitute the value of p̂ from Step 1 and n = 1043 into this formula.
Step 3: Determine the critical value (z*) for a 95% confidence level. For a 95% confidence interval, the critical value z* is approximately 1.96. This value corresponds to the z-score that captures the middle 95% of the standard normal distribution.
Step 4: Compute the margin of error (ME) using the formula: ME = z* × SE. Use the z* value from Step 3 and the SE value from Step 2.
Step 5: Construct the confidence interval for the population proportion. The formula for the confidence interval is: [-ME,+ME]. Substitute the values of p̂ from Step 1 and ME from Step 4 to find the lower and upper bounds of the confidence interval.

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Confidence Interval

A confidence interval is a range of values, derived from sample statistics, that is likely to contain the true population parameter with a specified level of confidence, typically expressed as a percentage. For example, a 95% confidence interval suggests that if we were to take many samples and construct intervals in the same way, approximately 95% of those intervals would contain the true population proportion.
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Introduction to Confidence Intervals

Proportion

In statistics, a proportion is a type of ratio that represents a part of a whole. It is calculated by dividing the number of favorable outcomes by the total number of outcomes. In the context of the survey, the proportion of respondents who believe the song is not too offensive can be calculated by dividing the number of 'not too offensive' responses by the total number of respondents.
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Difference in Proportions: Hypothesis Tests

Sample Size and Its Impact

Sample size refers to the number of observations or responses collected in a survey or experiment. A larger sample size generally leads to more reliable estimates of population parameters and narrower confidence intervals. In this case, the sample size of 1043 respondents provides a basis for estimating the proportion of the entire population that holds a particular belief about the song.
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Sampling Distribution of Sample Proportion
Related Practice
Textbook Question

E-Cigarettes A New York Times article reported that a survey conducted in 2014 included 36,000 adults, with 3.7% of them being regular users of e-cigarettes. Because e-cigarette use is relatively new, there is a need to obtain today’s usage rate. How many adults must be surveyed now if we want a confidence level of 95% and a margin of error of 1.5 percentage points?


a. Assume that nothing is known about the rate of e-cigarette usage among adults.

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Textbook Question

Voting Survey In a survey of 1002 people, 70% said that they voted in a recent presidential election (based on data from ICR Research Group). Voting records show that 61% of eligible voters actually did vote.


a. Among the 1002 people surveyed, what is the actual number of people who said that they voted?


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Textbook Question

Airline Seating You are the operations manager for American Airlines and you are considering a higher fare level for passengers in aisle seats. You want to estimate the percentage of passengers who now prefer aisle seats. How many randomly selected air passengers must you survey? Assume that you want to be 95% confident that the sample percentage is within 2.5 percentage points of the true population percentage.


a. Assume that nothing is known about the percentage of passengers who prefer aisle seats.


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Textbook Question

Brain Volumes Use these measures of brain volumes from Data Set 12 “IQ and Brain Size” in Appendix B. Use the bootstrap method with 1000 bootstrap samples.



a. Use 1000 bootstrap samples to construct a 90% confidence interval estimate of the population mean.

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Textbook Question

Critical Thinking. In Exercises 17–28, use the data and confidence level to construct a confidence interval estimate of p, then address the given question.


Touch Therapy When she was 9 years of age, Emily Rosa did a science fair experiment in which she tested professional touch therapists to see if they could sense her energy field. She flipped a coin to select either her right hand or her left hand, and then she asked the therapists to identify the selected hand by placing their hand just under Emily’s hand without seeing it and without touching it. Among 280 trials, the touch therapists were correct 123 times (based on data in “A Close Look at Therapeutic Touch,” Journal of the American Medical Association, Vol. 279, No. 13).


a. Given that Emily used a coin toss to select either her right hand or her left hand, what proportion of correct responses would be expected if the touch therapists made random guesses?

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Textbook Question

Mean Pulse Rate of Males Data Set 1 “Body Data” in Appendix B includes pulse rates of 153 randomly selected adult males, and those pulse rates vary from a low of 40 bpm to a high of 104 bpm. Find the minimum sample size required to estimate the mean pulse rate of adult males. Assume that we want 99% confidence that the sample mean is within 2 bpm of the population mean.


a. Find the sample size using the range rule of thumb to estimate .


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