Skip to main content
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 7.3b

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.


b. Find a 95% confidence interval estimate of the percentage of people who say that they voted.

Verified step by step guidance
1
Step 1: Identify the sample proportion (p̂) and sample size (n). The sample proportion is the percentage of people who said they voted, which is 70% or 0.70. The sample size is 1002.
Step 2: 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 standard normal distribution).
Step 3: Calculate the standard error (SE) of the sample proportion using the formula: SE = sqrt((p̂ * (1 - p̂)) / n). Substitute p̂ = 0.70 and n = 1002 into the formula.
Step 4: Compute the margin of error (ME) using the formula: ME = z* × SE. Use the critical value z* = 1.96 and the standard error calculated in Step 3.
Step 5: Construct the confidence interval by adding and subtracting the margin of error from the sample proportion. The confidence interval is given by: [p̂ - ME, p̂ + ME].

Verified video answer for a similar problem:

This video solution was recommended by our tutors as helpful for the problem above.
Video duration:
4m
Was this helpful?

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 95%. It provides an estimate of uncertainty around a sample statistic, allowing researchers to infer about the population from which the sample was drawn.
Recommended video:
06:33
Introduction to Confidence Intervals

Sample Proportion

The sample proportion is the ratio of the number of individuals in a sample who have a particular characteristic to the total number of individuals in that sample. In this case, it refers to the percentage of survey respondents who claimed they voted, which is essential for calculating the confidence interval.
Recommended video:
05:11
Sampling Distribution of Sample Proportion

Margin of Error

The margin of error quantifies the uncertainty in the estimate of a population parameter based on a sample. It is calculated using the standard error of the sample proportion and reflects how much the sample proportion might differ from the true population proportion, influencing the width of the confidence interval.
Recommended video:
04:08
Finding the Minimum Sample Size Needed for a Confidence Interval
Related Practice
Textbook Question

Wiggle Your Ears Find the sample size needed to estimate the percentage of adults who can wiggle their ears. Use a margin of error of 3 percentage points and use a confidence level of 99%.


b. Assume that 22% of adults can wiggle their ears (based on data from Soul Publishing).

Textbook Question

Finite Population Correction Factor If a simple random sample of size n is selected without replacement from a finite population of size (n>0.05N), and the sample size is more than 5% of the population size , better results can be obtained by using the finite population correction factor, which involves multiplying the margin of error E by [Image]. Refer to the weights of the M&M candies in Data Set 38 “Candies” in Appendix B.


b. Use only the red M&Ms and treat that sample as a simple random sample selected from the population of the 345 M&Ms listed in the data set. Find the 95% confidence interval estimate of the mean weight of all 345 M&Ms. Compare the result to the actual mean of the population of all 345 M&Ms.


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?


b. Use the results from the 2014 survey.


Textbook Question

No Failures According to the Rule of Three, when we have a sample size n with x=0 successes, we have 95% confidence that the true population proportion has an upper bound of 3/n. (See “A Look at the Rule of Three,” by Jovanovic and Levy, American Statistician, Vol. 51, No. 2.)


b. In a study of failure rates of computer hard drives, 45 Toshiba model MD04ABA500V hard drives were tested and there were no failures. What is the 95% upper bound for the percentage of failures for the population of all such hard drives?

1
views
Textbook Question

Mean Body Temperature Data Set 5 “Body Temperatures” in Appendix B includes 106 body temperatures of adults for Day 2 at 12 AM, and they vary from a low of 96.5F to a high of 99.6F. Find the minimum sample size required to estimate the mean body temperature of all adults. Assume that we want 98% confidence that the sample mean is within 0.1F of the population mean.


b. Assume that sigma=0.62F, based on the value of s=0.62F for the sample of 106 body temperatures.


Textbook Question

Caffeine in Soft Drinks Listed below are measured amounts of caffeine (mg per 12 oz of drink) obtained in one can from each of 20 brands (7UP, A&W Root Beer, Cherry Coke, . . . , TaB).


b. Given that Exercise 20 in Section 7-2 used the same data for a 99% confidence interval based on use of the t distribution, and given that the data do not appear to be from a normally distributed population, which confidence interval is likely to be better: The confidence interval from part (a) or the confidence interval found in Exercise 20 in Section 7-2?